WO2020220075A1 - Procédé assisté par ordinateur, système et programme d'ordinateur pour fournir une interface utilisateur intuitive et un algorithme conçus pour créer une liste dynamique utilisant un algorithme d'attribution pour réaliser une tâche d'attribution de personnel à des tâches sur un lieu de travail - Google Patents

Procédé assisté par ordinateur, système et programme d'ordinateur pour fournir une interface utilisateur intuitive et un algorithme conçus pour créer une liste dynamique utilisant un algorithme d'attribution pour réaliser une tâche d'attribution de personnel à des tâches sur un lieu de travail Download PDF

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Publication number
WO2020220075A1
WO2020220075A1 PCT/AU2020/050415 AU2020050415W WO2020220075A1 WO 2020220075 A1 WO2020220075 A1 WO 2020220075A1 AU 2020050415 W AU2020050415 W AU 2020050415W WO 2020220075 A1 WO2020220075 A1 WO 2020220075A1
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WO
WIPO (PCT)
Prior art keywords
staff
bookings
allocation
booking
computer
Prior art date
Application number
PCT/AU2020/050415
Other languages
English (en)
Inventor
Peter Petroulas
Original Assignee
Grand Performance Online Pty Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2019901439A external-priority patent/AU2019901439A0/en
Application filed by Grand Performance Online Pty Ltd filed Critical Grand Performance Online Pty Ltd
Publication of WO2020220075A1 publication Critical patent/WO2020220075A1/fr
Priority to US17/452,770 priority Critical patent/US20220188709A1/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063112—Skill-based matching of a person or a group to a task
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/02—Reservations, e.g. for tickets, services or events
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G06Q10/043—Optimisation of two dimensional placement, e.g. cutting of clothes or wood
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G06Q10/1093—Calendar-based scheduling for persons or groups
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063116—Schedule adjustment for a person or group

Definitions

  • the present invention relates to a system, method and computer program for providing a dynamic and intuitive user interface and algorithm arranged to create a staff roster utilising an allocation algorithm to perform the task of allocation of staff to tasks in a workplace.
  • the invention is directed to a computer-enabled method including a user interface accessible via a remote device, wherein the method allocates staff to tasks in a workplace, such as waiters and cooks in a restaurant.
  • customised experiences have, in the past, been solely reliant on the staff of the restaurant performing various tasks manually, including interacting with customers, organising table allocations, providing specialised menus, providing specific ancillary services (such as the provision of flowers, etc.).
  • artificial intelligence which is generally acknowledged, in the context of the present specification, as referring to analytical artificial intelligence - namely, the ability of a software application to perform tasks that require some form of "cognitive intelligence”, including the ability to generate a cognitive representation of a real-world situation, and utilising past learning from the performance of similar tasks to inform present and future decisions regarding present and future tasks.
  • the invention provides a computer-enabled method for method for creating a volumetric space/time framework including a floor plan of a venue and utilising the volumetric space/time framework, to incorporate a plurality of constraints within the space including one or more of furniture, equipment, staffing, production, forecasts, revenue being capable of providing information regarding a plurality of items of equipment allocated to the volumetric space/time framework, the plurality of constraints being associated with the production of one or more products and the delivery of one or more services provided by the venue, the constraints being further associated with allocating staff to at least one of the tasks and equipment, the method comprising the steps of: providing a staff allocation module including one or more optimisation algorithms in communication with a processor and a database of bookings, and arranged to receive at least one request to assign staff to the at least one of tasks and equipment in response to at least one of requests and estimated requirements of confirmed bookings and forecast bookings for the service period, whereby the staff allocation module utilises the at least one of a total number of confirmed bookings and
  • the method comprises the further step of, in response to a request to vary the roster, the staff allocation module utilises the volumetric space/time framework to determine whether other staff are available.
  • the method may include the further step of determining the minimum number of staff required to provide an adequate level of service on the basis of the products and services to be provided as a part of the total number of bookings or forecasted bookings.
  • the method may include the further step of determining whether one or more staff are to be allocated on the basis of the particular skill of the staff and the requirements associated with one or more bookings or forecasted bookings.
  • the method may include the further step of determining whether one or more predetermined staff are to be allocated on the basis of requirements in one or more of the areas, sub- areas, sections, classes private areas and any other physical or category specific divisions.
  • the one or more optimisation algorithms in communication with a processor may be arranged to receive at least one request to assign staff to tasks or equipment in response to a total number of projected bookings for a service period.
  • the method may include the further step of communicating roster information with staff electronically via a roster interface whereby staff can provide availability information regarding their availability, whereby the availability information is utilised to vary the roster.
  • the method may include the further step of the staff allocation module including a regulation module, arranged to create and vary a roster to comply with relevant laws and regulations.
  • the method may include the further step of automatically reviewing rates of pay, work conditions and other regulations governing the payroll, payroll payment records and payment of staff, and interfacing with a time and attendance system interfaced with a payment system to autonomously update payments to staff, as required by law and regulation.
  • the method may include the further step of associating staff rosters with other information regarding a service period, including at least one of time periods, tables, transactions and other information to provide statistics regarding the performance of staff relative to other information.
  • the method may include the further step of allocating staff dependent on their status as a permanent employee or a casual employee, dependent on at least one of the service period, booking requests and attributes of the service.
  • the volumetric space/time framework may be utilised to provide a staff rostering schedule for the dynamic allocation of staff in a restaurant, cafe or other type of dining establishment.
  • the volumetric space/time framework may be utilised to provide a staff rostering schedule for the dynamic allocation of staff in any service based business including but not limited to a hairdressing or beauty service, a gym, a travel business, accommodation venues, sporting venues, workspaces, factories, manufacturing facilities and workshops.
  • the invention provides a computer-enabled method for method for allocating staff within a volumetric space/time framework in awork environment to devise an electronic roster required to service bookings allocated to one or more spaces in a venue in a service period, comprising:
  • a staff allocation module including one or more optimisation algorithms in communication with a processor and arranged to receive at least one request to assign staff to tasks or equipment in response to at least requests and estimated requirements of one of a total number of confirmed bookings and a total number of forecast bookings for the service period in a database of bookings for the service period, whereby the staff allocation module utilises the at least one of a total number of confirmed bookings and a total number of forecast bookings for a service period to determine whether one or more predetermined staff are allocatable to the one or more spaces or one or more pieces of equipment in the venue based on at least one of the total number of bookings, forecasted bookings and the requirements and forecasted requirements of those bookings, staff availability and skill levels,
  • an electronic roster is produced, whereby the electronic roster includes one or more of staff duties, staff responsibilities, staff interaction, required interaction, details of customer requirements and timing of activities is associated with the volumetric space/time framework
  • the method includes the further step of providing a communication portal arranged to allow a staff member to communicate directly with other staff members and the volumetric space/time framework to vary the electronic roster.
  • the method includes the further step of, in response to a request to vary the roster, the staff allocation module utilises the volumetric space/time framework to determine whether other staff are available.
  • the method includes the further step of determining the minimum number of staff required to provide an adequate level of service on the basis of the products and services to be provided as a part of the total number of bookings or forecasted bookings.
  • the method includes the further step of determining whether one or more staff are to be allocated on the basis of the particular skill of the staff and the requirements associated with one or more bookings or forecasted bookings.
  • the method comprises the further step of determining whether one or more predetermined staff are to be allocated on the basis of requirements in one or more of the areas, sub-areas, sections, classes private areas and any other physical or category specific divisions.
  • the one or more optimisation algorithms in communication with a processor are arranged to receive at least one request to assign staff to tasks or equipment in response to a total number of projected bookings for a service period.
  • the method includes the further step of communicating roster information with staff electronically via a roster interface whereby staff can provide availability information regarding their availability, whereby the availability information is utilised to vary the roster.
  • the method includes the further step of the staff allocation module including a regulation module, arranged to create and vary a roster to comply with relevant laws and regulations.
  • the method includes the further step of automatically reviewing rates of pay, work conditions and other regulations governing the payroll, payroll payment records and payment of staff, and interfacing with a time and attendance system interfaced with a payment system to autonomously update payments to staff, as required by law and regulation.
  • the method includes the further step of associating staff rosters with other information regarding a service period, including at least one of time periods, tables, transactions and other information to provide statistics regarding the performance of staff relative to other information.
  • the method includes the further step of allocating staff dependent on their status as a permanent employee or a casual employee, dependent on at least one of the service period, booking requests and attributes of the service.
  • the present invention provides a computing system, method and procedure for the forecasting of demand by individual booking times and requirements by time and by service.
  • the present invention provides a computing system, method and procedure for the use of the forecasted demand to create standard rosters.
  • the present invention provides for the use of staff metrics, staff information, pay rates, staff skills, etc., for the allocation of staff to rosters and for the communication and publishing of those rosters to staff and management.
  • the present invention provides a computing system, method and procedure for allocating staff to devise a roster required to service bookings allocated to one or more spaces in a venue, comprising:
  • an allocation module including one or more optimisation algorithms in communication with a processor and arranged to receive at least one request to assign staff to tasks or equipment in response to bookings for a service period in a database of allocated bookings,
  • the allocation module determines whether one or more predetermined staff are to be allocated based on the booking, the staff availability, the overall number of bookings, or any other constraint relevant to the service period.
  • the invention provides for the integration of rosters with a time and attendance system.
  • the invention provides for the integration of the rosters within an artificial intelligence module for the monitoring, updating and control of those rosters in accordance with changes in staffing requirements and booking and forecasting changes.
  • FIG. 1 a is an example computing system on which a method and/or a computer program may be operated, in accordance with an embodiment of the invention
  • FIG. 1 b is an example of a flowchart illustrating a computer system upon which a computer enabled method may be operated, in accordance with an embodiment of the invention
  • FIGs. 1c-f are illustrations of a volumetric (three-dimensional) framework for providing a complex product and service in accordance with an embodiment of the invention
  • FIGs. 2a-2e are flowcharts illustrating a computer enabled method for a booking process in accordance with an embodiment of the invention
  • FIGs. 2f-2g are flowcharts illustrating a computer enabled method for a booking process in accordance with the prior art
  • FIG 3a-d are a diagrams illustrating a computer enabled method for rostering in accordance with a volumetric framework and a prior art Gantt chart in accordance with an embodiment of the invention
  • FIG 4a-b are screenshots of a floor plan interface in accordance with another embodiment of the invention.
  • FIG 5a is a modular representation of a system arranged to provide an automated roster builder for a restaurant based on booking and other information in accordance with an embodiment of the invention
  • FIG 6a-d are examples of automated roster builders for other types of service businesses in accordance with other embodiments of the invention.
  • FIG 7a-b are screenshots of a floor plan interface in accordance with another embodiment of the invention.
  • the present invention relates generally to a computing system, method and computer program for allocating staff to a roster dependent on received bookings allocated to one or more spaces in a venue.
  • the system generally comprises an allocation module including one or more optimisation algorithms in communication with a processor and arranged to receive at least one request to assign staff to a roster based on a volumetric framework or similar allocation methodology, and communicate with a database to determine bookings and other constraint information in order to allocate staff to roles in the roster.
  • an allocation module including one or more optimisation algorithms in communication with a processor and arranged to receive at least one request to assign staff to a roster based on a volumetric framework or similar allocation methodology, and communicate with a database to determine bookings and other constraint information in order to allocate staff to roles in the roster.
  • FIG. 1 a One embodiment of the computing system is shown at FIG. 1 a.
  • FIG. 1 a there is shown a schematic diagram of a computing system, which in this embodiment is a computing system 100 suitable for use with an embodiment of the present invention.
  • the computing system 100 may be used to execute application and/or system services such as a computer program and an interface in accordance with an embodiment of the present invention.
  • the computing system 100 may comprise suitable components necessary to receive, store and execute appropriate computer instructions.
  • the components may include a processor 102, read only memory (ROM) 104, random access memory (RAM) 106, an input/output devices such as disc drives 108, remote or connected mobile devices 110 (such as computers, smartphones or tablets and the like), and one or more communications link(s) 114 including internet links to other applications, websites and system services including Internet cloud services 120.
  • ROM read only memory
  • RAM random access memory
  • communications link(s) 114 including internet links to other applications, websites and system services including Internet cloud services 120.
  • the computing system 100 includes instructions that may be installed in ROM 104, RAM 106 or disc drives 1 12 and may be executed by the processor 102.
  • At least one of a plurality of communications link 114 may be connected to an external computing network through a telecommunications network, including Internet cloud services 120.
  • the device may include a database 116 which may reside on the storage device 1 12. It will be understood that the database may reside on any suitable storage device, which may encompass solid state drives, hard disc drives, optical drives or magnetic tape drives.
  • the database 1 16 may reside on a single physical storage device or may be spread across multiple storage devices, either locally or remotely.
  • the computing system 100 includes a suitable operating system 118 which may also reside on a storage device or in the ROM of the server 100.
  • the operating system is arranged to interact with the database 116 and with one or more computer programs to cause the server to carry out the steps, functions and/or procedures in accordance with the embodiments of the invention described herein.
  • the user interface 1 10 of one or more mobile devices facilitates the collection and display of user data for the computing system 100.
  • the user interface 1 10 may be a program or website accessed on a computer or mobile device via a communication network, such as the Internet.
  • the user interface 110 may be a widget arranged on a website that may be accessed by a user using a computer or mobile device via a communication network such as the Internet.
  • the user interface 110 may also be provided as a mobile application or "app” present on the user device, such as a tablet or smart phone.
  • the at least one user interacts with the user interface 110 and may be a first user (also referred to as the "booking requestor”) requesting to use a space in a venue.
  • the at least one user may also include a second user (referred to as the “operator” or “venue operator”), who is associated with the venue and utilizes the optimised space allocation instruction set provided by the allocation module to enable the use of the space by the booking requestor.
  • the booking requestor interacts with the computing system to make a request.
  • the requestor may make a request for one or more patrons of the venue to use the space in a venue, where the requestor may also be one of the patrons of the venue. That is, a user that interacts with the system is referred (on their own behalf or on behalf of a group of people) is referred to as a booking requestor and the person (or group of people) that will be allocated a table (i.e. attend the venue or restaurant) may be variously referred to as the“patron” or “patrons”, the“customer” or“customers”, the“guest” or“guests” and/or the“diner” or“diners”, or any other term as appropriate for the venue.
  • An embodiment includes the computer system 100 processing the request and undertaking all subsequent steps in an autonomous manner.
  • the operator may use one of the user interfaces 110 provided to one or more devices to receive, input, or modify information in order to provide further input to the computer system 100, so that the computing system may process the request and provide instructions to the entity.
  • the computer system 100 may arrange objects in the space in accordance with the optimised space allocation instruction set. That is, the booking requestor acts as a customer making a request which is to be "serviced” by the operator in accordance with the optimised space allocation instruction set.
  • the optimised space allocation instruction set As may be appreciated by a skilled addressee, there may be any number of remote users and operators who are able to interact with the computing system via the user interface 110 via any number of different devices.
  • the ResButler application 126 is hosted in a cloud computing environment.
  • the ResButler project 128 includes a web server 130 a venue login and security database 132, an allocation module or system 134 comprising one or more modules or algorithms 136, which connect to a venue database 138 and a venue web server 140.
  • the ResButler project 128 connects with multiple devices 142, 148 and 152.
  • the device 142 is a third party desktop forward/laptop that is capable of displaying a website rendered by venue web server 140.
  • the venue web server 144 incorporates a venue booking widget 146.
  • device 148 is a mobile device such as a smartphone or tablet computing system
  • the device 148 includes an instance of the menu app 150.
  • device 152 is a kiosk including a computing system capable of executing a venue kiosk app 154.
  • the ResButler project 128 also interfaces with a device 120 which is located within the venue.
  • the devices 120 may include a point of sale device (POS) 124 and or a device capable of displaying a dashboard 122 in accordance with an embodiment of the invention.
  • POS point of sale device
  • FIGs. 1 c-f there is shown a conceptual illustration (with reference to a cartesian framework) for the underlying geometric and mathematical concept embodied in the embodiment of the invention described in more detail hereinbelow.
  • the embodiment described and defined herein is broadly directed to a system capable of developing, managing and utilising a floor plan for a space to allocate bookings and provide personalised service to customers, in addition to assisting in the operation of the space.
  • the operation of the method and system described herein is based on a cartesian three-dimensional framework, which acts as a frame of reference to allow for the visualisation of the elements required to operate a space, including the physical movement of items within the space.
  • the volumetric framework 158 operates across three axes, generically labelled the x-axis 162, the y-axis 156 and the z-axis 160. Each of the axes allow a constraint to be physically mapped relative to the two other constraints that constitute the framework. This provides an additional dimension with which to provide a complete visualisation and operation of the management of a space, as can be seen with reference to FIG. 1d.
  • FIG. 1d there is shown the three-dimensional framework 170 with dimension x 178, dimension y 164 and dimension z 166, compared to a prior art framework 168 which illustrates a Gantt chart 176 including a first dimension 172 and a second dimension 174.
  • FIG. 1e there is described a practical application of the concept of FIG. 1c where the framework 186 with dimensions x 188, y 182 and z 184 are located within the context of a posting calendar, which is arranged to interact with a user-defined reporting calendar 190.
  • This reduction to practice is further described with reference to FIG. 1f, where a restaurant floor plan is overlaid on the three-dimensional framework.
  • a floor plan creation module 194 is utilised to create a floor plan 192 for a restaurant, including the size and shape of the restaurant space, the creation of sub-areas and sections, the division of the areas and/or sub areas into classes, the addition of tables and chairs (including dimensions), etc.
  • the floor plan is placed in the volumetric framework 199 within the calendar 196, where the x and y axes represent the length and width of the space, and the z axis represents time. As such, each area, sub area, class, table, chair, etc. can be tracked over time.
  • the z axis is controlled by a time constraint module 193 which includes time constraints 195 such as sub periods, opening hours, seating periods, etc.
  • the volumetric framework in addition to the calendar and the floor creation module and time constraint module create a real time simulation of the restaurant, allowing the operator to track all aspects of the restaurant/space over time.
  • This framework is derived from the realisation that the pivotal structure (both physical and conceptual) in the operation of a space such as a restaurant, is the booking and how the booking is allocated and managed. The placement of tables and chairs, the opening hours, the food served, the staff employed, etc., are ultimately all connected to the booking.
  • the volumetric model is a completely different manner in which to conceptualise the operation of a space (and in particular a restaurant space or any other space where a service is provided and there are multiple constraints).
  • FIGs. 2a to 2e there is shown a diagrammatic representation of each of the component parts of the system in accordance with an embodiment of the invention.
  • the following descriptions and information add further matter to the original disclosure in the above-mentioned PCT applications to further particularise the features and embodiments described herein.
  • the additional description of features and integers contained herein contradicts any disclosure with respect to a feature or integer disclosed in the previous applications, it will be understood that, to the extent of the contradiction, the present application will be taken as being correct for the purpose of the inventions and embodiments disclosed and defined in the present application.
  • Restaurant Set-up Rules There are three basic embodiments disclosed herein, each of which utilise a different set of rules to set up a restaurant or any other space that can be reserved for any purpose.
  • the rules and constraints are arranged to permit the proper contextual relationships, relativities, utility of and flexible table and chair or equipment capacity to allow for effective differentiation, discrimination, yield management, dynamic pricing, revenue management, cost and operations management and the achievement of bespoke (configurable) individual quantitative and qualitative goals of a restaurant.
  • the terms“relationship”,“relativity”, “utility” and“contextual relationships” have specific meanings as related to equipment, furniture and other items which can be arranged within a space/venue and which can be ascribed specific attributes, constraints and by extension rules which utilise the attributes and constraints.
  • the term“relativity” in the context of the specification refers to quantifiable attributes and constraints that describe quantifiable variables of a table, chair, furniture or equipment that in turn form the basis for a qualitative assessment of the table, chair and/or equipment.
  • the size and shape of the table which are quantitative variables, may have an impact on a qualitative attribute of the table, such as the“class” of table.
  • a first class table may be of a larger size and a first class chair may be more luxurious (larger chair).
  • the attribute is relative to other attributes and therefore in and of itself may not be determinative of the overall qualitative assessment of the table.
  • the location of the table relative to the space may also be determinative of the class of the table.
  • a table that is near a window and has a view may be considered a first class table, even if the physical attributes of the physical table do not necessarily match those of a“first class” table.
  • the term“relativity” refers to quantifiable attributes of furniture/equipment.
  • utility refers to the overall utility that is derivable from the relative attributes and constraints that are associated with each item of furniture, including tables, chairs and other items of equipment.
  • the term“relationship” refers to an association between two or more items, objects etc.
  • a relationship may be that a table is capable of being placed in a particular section. This is a constraint that defines a relationship between the table and the section.
  • Relationships may be one-to-one, or may be multiple, in that an object or item may have a relationship with a number of other objects or items. In other words, the relationships behave as a constraint with respect to how the two objects or items can interact.
  • the reference to a "contextual relationship” or to "context” refers to a relationship that acts as a constraint when specific conditions are met. For example, two tables may have a contextual relationship when placed adjacent to each other, or together, but have no such relationship when they are not placed adjacent to each other.
  • the space embodiment uses a volumetric framework, and a restaurant floor plan or other file or data base to provide a series of restaurant allocation and organisation rules, including the relationships, relativities, utility and capacity of tables, chairs, other furniture and all other constraints within the restaurant.
  • Each table is ascribed an extensive set of characteristics and constraints, such that each table has a specific relativity, relationship, utility and capacity relative to each other table.
  • each chair is also ascribed a space relativity which is treated as a second aspect of the invention.
  • This embodiment is similar to the space embodiment noted above. However, there is no utilisation of exact dimensions. In other words, less emphasis is placed on the spatial/dimensional aspect of the“space”, but the rules and algorithm still mimic the“space” embodiment above to achieve a similar outcome.
  • This additional embodiment permits the addition and/or removal of tables from the total capacity of the restaurant.
  • “shadow tables” defined as tables that do not physically exist in the total solution set of tables and table combinations as in the prior art. Alternatively stated, these“shadow tables” are not shown and do not exist on the floor plan within the prior art. These“shadow tables” are a list of permutations of tables that can be placed in an area, sub area, or space such that they can replace previously existing table or table combination within that area, sub area or space such that the allocation process permits the addition of or removal of tables and or chairs from the floor plan to provide a different and more optimised outcome than the prior art.
  • the permutations are not limited to a fixed number of tables, but can include the addition or removal of tables.
  • a permutation may include two separate tables T1 and T2 and a combined table T1 +T2 as per the prior art.
  • T3 a further table not existing in the prior art which permits the addition of a different combined table T1 +T2+T3.
  • the permutation allows for the incorporation of additional tables or removal of tables providing completely different configurations and numbers of table to vary the seating capacity, orientation, or any other aspect of the table combination in the sub area or area.
  • the restaurant set-up rules shown at (278) in one embodiment also include set-up rules for all other spaces or purposes such as for the set-up and booking of functions and/or events with an area, subarea, private room or the entire restaurant.
  • the set-up rules referred to at (278) also refer to function spaces, event spaces, theatre, show and other spaces, such that a complete event can be enquired, modified, confirmed with or without part or full payment on-line and without the requirement of manual intervention by venue staff.
  • the restaurant set-up measurements provide information that permits a venue to detail the normal or standard set-up for a restaurant including the type, size and normal number of chairs that would be used for a table at a particular location.
  • the restaurant set-up information can be used to determine if more than the standard number of chairs normally set for that table at that location is the physical maximum number of chairs that can be allocated to the table.
  • the restaurant set-up information can include information which indicates where one or more extra chairs can be placed on a table to increase the capacity of a table (which may also be determined by the relative location of the table in the venue).
  • the restaurant set-up rules can include information as to when a restaurant reaches a certain threshold or capacity, such that the rules and algorithms can be used to apply one or more of increasing the capacity to some or all the tables to the maximum number of chairs; or to the maximum table top size, or some other permutation within the information provided and available within the restaurant set-up rules.
  • the restaurant set-up rules can be combined with any other information or any other permutation of the available information as described herein such that the restaurant allocation rules and algorithms can achieve any of the required quantitative and qualitative outcomes desired by the restaurant.
  • knowledge of the restaurant space, tables, table classes, table locations can be used in conjunction with the information available within a customer's history or CRM to allocate the customer’s booking request instantaneously to their favourite or preferred table and preferred chair, or if the customer's favourite is not available to the customer's second preferred table and a preferred seating position, or failing that allocate the booking request to the next highest ranking class of table or table location as so on until that booking is allocated.
  • the allocation of a booking can be associated with one physical space, physical item and the same booking can be transferred to another physical space or physical item such that a booking can comprise more than one“experience".
  • a booking can be allocated to a bar table or bar stool for say 7pm to 7:30pm and then moved to the main dining room from 7:30pm to 9:30pm and then back to the bar at 9:30pm for a night cap.
  • this sequence of events can treated as a single booking during the booking allocation process then the system can maintain all financial details and information within that one booking and one account so that information does not have to be manually transferred, or manually reconciled, including any pre-payments within the system or the process by which it is integrated within any POS system.
  • the restaurant set-up rules referred to above could be applied to other industries and businesses including, for example, hairdressers, gyms, libraries, accommodation, car rentals and aviation, or any business that requires the allocation of a physical space, physical item during a booking allocation process.
  • the framework, rules, methods, procedures and algorithms, of the current invention can also be applied to the booking of appointments where the primary purpose of the appointment is not the physical space or a physical item but the provision of services such as legal advice, accounting advice, doctors’ appointments, hospital appointments etc.
  • Menus and the use of menus, rather than simply being a presentation of products available for purchase, are integrated into various aspects of the broader system These include channel and widget configuration to offer different menus, not only by time, but by other constraints such as class and specific table; availability and search by different courses and menus; the ability to require customers to commit to different menus and different courses at different times; the ability to recognise and identify different channels and customers to offer specific menus and tailored menus with different conditions such as duration times, prices, payment conditions etc.; eliminate the need for indicating allergy details on menus as alternate menu items would be displayed that did not include the "offending” allergic ingredients, similarly with dietary requirements; the use of alternate menu items not only makes the display to the customer more friendly and personal but permits proper stock decrementing and revenue/sales analysis; the requirement for a customer to select a menu and the number of courses so that more accurate duration times can be calculated or requiring customers to accept variable duration times based on the number of courses they have selected in conjunction with one or more other constraints (such
  • the claimed invention includes the ability of the operator to offer different menus with different dishes, different prices, different numbers of courses, different time durations and can be incorporated with different time durations and that specific information can be used and applied as part of the optimisation and booking allocation process.
  • the booking allocation system can identify the customer seeking to make a booking and present them with an individual menu or another specific menu and with the knowledge of the individual access that individuals CRM details and apply other additional constraints with respect to their menu selection such as a different duration time or a different duration time at their preferred table as part of the optimisation and booking process.
  • a customer can be required to select a specific menu and or courses and with that required selection would be a set time such that the selection of the menu item and/o courses, a specific time duration could be applied to that selected menu and courses, incorporating other additional constraint information such as group size, occasion, day of the week, time of booking etc., to apply and or determine a duration time to be applied to that booking request and for that duration time to be used and applied as part of the booking allocation process.
  • a customer who has an allergy or dietary preference is only shown dishes that are compatible with their requirements, such that the menu item displayed does not include the inappropriate ingredients and simply shows the menu item as the dish will be presented when cooked.
  • the booking allocation system contains a menu building module and/or a separate menu building module includes a product tree structure for the development of menu items (products) that contain ingredients for stock decrementing as well as alternate menu items and ingredients where those menu items are modified for allergies or dietary requirements so that proper stock decrementation can occur.
  • each menu item by being linked to a product tree permits seamless integration with POS systems, kitchen and bar printing.
  • pre-orders are linked to the booking and there is no need to manually re-enter any pre-payments or pre-orders to a POS system as prepayment accounts as prepaid amounts can remain and be controlled within the ordering system and the booking allocation process such that an automatic reconciliation process can be applied when the booking arrives such that the manual transfer between accounts is not required.
  • Dynamic Pricing and Dynamic Product and Service Promotional Offers (282): The embodiments described herein include the complete differentiation of the products, services and benefits that can be utilised in the differentiation of a product and service during a booking or appointment process; the use of the complete list of options available for the differentiation of the product or service to create a unique set of differentiated products and services as compared to competitors that can then be offered to their customers; the use of the differentiated products and services as part of a booking or appointment process.
  • a restaurant online booking process, or other booking or appointment process can be used and permits a restaurant or other business to apply proper and complete yield management including dynamic pricing, peak period pricing, higher pricing of tables with better or higher utility, etc., as compared to the current practice of only offering simple discounts during off-peak periods and incorrectly referring to this as yield management.
  • These embodiments are shown at (282) and include the differentiation of products.
  • additional constraints have been developed and incorporated within the booking allocation system including through the use of the volumetric framework within one embodiment of the invention to permit a full and complete differentiation of the products and services offered by a restaurant including differentiation not considered or accounted for by the prior art including by location, by ambiance, by class, by privacy, by individual table, by ranking of each individual table, by menu, by number of courses, by occasion , by category of customer, by ranking of customer, by event, by conditions or constraints by time of booking, by payment terms, by additional supplementary items committed to, by channel and then these additional differentiation aspects being incorporated and used within the booking allocation process so that the a restaurant can configure these items to optimise their preferred quantitative and qualitative outcomes.
  • the additional product differentiation referred to above is utilised by the claimed invention to permit the control of capacity offered by differentiated products and services and then to apply yield management techniques which permit the incorporation of dynamic pricing, differential pricing by the differentiated items.
  • the incorporation of additional and supplementary items including the ability to tailor the sequence of events within a booking or appointment (as one simple example of this embodiment is the ability to permit customers to design their own sharing platters and eliminating the need have an entree and/or a main course in a traditionally three course a la carte restaurant.
  • a module that allows the incorporation of additional third-party or ancillary items to personalise the restaurant experience, change the order of service, provide bespoke offerings and experiences not normally or traditionally provided by restaurants, upsell during the booking and ordering process unusual items so that a restaurant can create greater differentiation to competitors.
  • These experiences are not limited to the experiences normally provided by restaurants but targeted at experiences and offering that are outside existing norms to include anything desired by a customer and within the level of acceptability of the restaurant.
  • the additional information, spending and revenue for a booking can be used within the booking allocation process to provide higher spending, higher revenue, higher contribution or other classification of customers, or more specific experience requirements in the booking allocation process of the claimed invention.
  • Special Events Scheduled by Venue (284): In some embodiments, there is provided a process by which special events may be included by utilising the forecasting and planning modules to create and classify specific events as“one off’ events so that they can be properly understood and interpreted by the forecasting modules and therefore also correctly classified and utilised as input data by the artificial intelligence module. More specifically these embodiments are shown at (284).
  • CRM (286) In the embodiments described herein, the CRM is not merely a repository of information and historical data base, as is the case with all prior art, but is a system that contains constraints and information that can be accessed and utilised as part of the booking allocation process. These embodiments include the allocation of a Super VIP and or VIP to their favourite or preferred table automatically during the booking allocation process and not through a manual allocation process undertaken after the booking is accepted, as is the case with the prior art.
  • the restaurant or the venue can provide additional information and constraints as to how this CRM information should be utilised, how it should be enhanced, modified or applied during the booking allocation process, including, the addition of complementary items being added to their“running sheet” or“order of service” for their booking, for example, a free glass of wine, or an extended booking duration time, that no deposit or prepayment is required unlike other bookings or other benefit or information.
  • the booking allocation process can automatically embellish the booking allocation process by permitting differentiation between customers and better tailoring and personalise a person’s restaurant experience. More specifically these embodiments are shown at (286). Embodiments and aspects of this application are supported by, and with further details provided within all the additional related patent applications: [00122] External Websites (288): In some embodiments, external websites are utilised as not merely a source of information or reference data but as data and information that can be accessed and utilised in the booking allocation process. Embodiments of the allocation methodology, processes and rules can include, a person's social media influence rating, a person's occupation, or other distinguishing feature as inputs to determine the constraints to be utilised by the booking allocation process. More specifically these embodiments are shown at (288)
  • Forecasting and Predictive Model (290): The level of detail used by the embodiments in the differentiation of the product or service, yield management, dynamic pricing, revenue management, the detail within a restaurant the personalisation of services etc., allow the forecasting and predictive model of the embodiment to be extremely sensitive and therefore results in far more accurate forecasts and predictions as there is greater monitoring ability as well as“levers” to make changes to achieve desired outcomes.
  • the forecasting and predictive model directly accesses the extensive constraints, variables, inputs, historical outcomes and trends, allocation rules, as well as planned events, third party websites, and use that information to develop its forecasts and then to monitor activity against those forecasts by the allocation methods, procedures, algorithms and allocation rules in the allocation of bookings to a space, a table, a table combination, chair or other item to achieve better forecasts and to make changes to the constraints so as to achieve even better outcomes.
  • Embodiments also include the forecasts of functions and events as well as the monitoring of those events and the recommendation of changes or the making of changes to the applied constraints; booking capacities; booking classes; staffing; rosters; resource requirements; operational requirements; maintenance requirements, etc. More specifically these embodiments are shown at (290).
  • Embodiments and aspects of this application are supported by, and with further details provided within the additional related patent applications, but more specifically with the following patent applications:
  • Suppliers (292): Orders; Deliveries; Constraints, details etc. (292)
  • the embodiment includes the ability to link a supplier to the booking allocation process such that the suppliers items can be offered within the booking process, the selection of what a person has chosen can then be added to the booking allocation process and algorithm and then an order be placed with the supplier when a person confirms their booking to create a completely integrated process. Embodiments of this process are supported by, and with further details provided within the additional related patent applications.
  • Database of Booking Requests (294): In one embodiment, the historical booking requests are directly accessed by the booking allocation methods, procedures, algorithms and allocation rules for the allocation of bookings to a space, a table, a table combination, chair, other item or for the allocation or creation of an appointment.
  • additional information can be added to the data base of historical booking requests, their behaviour at the restaurant, the allocation provided to them in previous booking requests, overall demand for a time or a service that could not be satisfied and the timing and booking profile of those bookings, etc., (294)
  • Embodiments of the allocations, methods, procedures, algorithms and allocation rules include the creation of specific rules to undertake specific outcomes which can be selected by a venue to create specific outcomes dynamically (the prior art cannot dynamically allocate bookings and relies on a predetermined single priority table and table combination list to allocate bookings).
  • the specific dynamic allocation can also be combined in different sequences combinations by different time periods, different services, etc., so as to create bespoke outcomes for the benefit of individual venues to better meet their targeted goals and the requirements of their customers.
  • Embodiments with respect to this aspect are not limited to the following examples, detailed; Floor Space Optimisation Algorithm; Time Related Optimisation Algorithm; Event Related Optimisation Algorithm; Strategy Related Optimisation Algorithm; Third- Party Optimisation Algorithm; Pre-service Optimisation Algorithm; In-service Optimisation Algorithm; Self-Seating Optimisation Algorithm (296).
  • Resource Parameters The resource parameters include; Venue set-up times, bar set-up times, hosting requirements, kitchen set-up times, roster structures and frameworks including staff metrics such as customers that each staff member can cater for, minimum staffing levels, amount of food that each chef or food station can produce, minimum hours, pay rates, broken chairs, broken tables, equipment out of service etc. (298).
  • Reporting (231): Performance analysis; Customer satisfaction; Deliverables; labour Analysis; Actual v. Predicted etc. (231) Reporting relates to the additional constraints possible within the claimed invention and the analysis of those constraints and their outcomes. In one embodiment, reporting relates to the use of that analysis to better forecast and utilise that information to create a feedback loop and information to the artificial intelligence module so that it can continually learn and improve this processes and outcomes.
  • Database Historical Information relate to information not currently available or used by the prior art. This information includes: booking duration times by courses, by individual table, by class of table, by occasion etc.; the time bookings made - booking time; classes of bookings; spend by booking types; yield management outcomes; revenue efficiency; walk-in promotions; etc. and wherein this information can be accessed and utilised within the booking allocation process and all other modules including forecasting and artificial intelligence (233) this application is supported by, and with further details provided within the additional related patent applications, but more specifically with the following patent applications, but more specifically with the following patent applications:
  • External Websites including weather information relate to information that is accessed and used by the current invention within it booking allocation process, forecasting and artificial intelligence. Embodiments relating to the use of information from external websites within the claimed are supported by, and with further details provided within the additional related patent applications.
  • Printed Operational In-Service Run Sheets (237): Printed operational and in-service run sheets relate to information that includes the results of the autonomous booking allocation process, the autonomous chair allocation or selection process etc., and is supported by, and with further details provided within the additional related patent applications
  • Operational requirements and planning within this application refer to staffing levels ; rosters, including roster frameworks and standard rosters, roster creation, staff allocation to rosters, adjustments to rosters based on bookings received as compared to bookings forecasted; start/finish times, including pre-times, set-up times, closing procedures and times; orders; delivery schedules; maintenance planning; equipment replacement; occupational health and safety; procedure and policy monitoring; etc. (239).
  • start/finish times including pre-times, set-up times, closing procedures and times; orders; delivery schedules; maintenance planning; equipment replacement; occupational health and safety; procedure and policy monitoring; etc.
  • Point of Sale Integration (241): In one aspect, embodiments of the point of sale (POS) integration relate to transactional aspects. These embodiments include the‘‘real time” dynamic floor plan created by the claimed invention being integrated into POS systems with or without the application of the Cartesian‘‘volumetric framework" (which in one embodiment includes more than a three dimensional volumetric framework, as it can include more than three axis) within the integrated POS systems such that the“real time dynamic floor plan” including details of the table, the chairs and booking details by chair, replaces the existing static floor plan within the prior art POS systems.
  • Cartesian‘‘volumetric framework” which in one embodiment includes more than a three dimensional volumetric framework, as it can include more than three axis
  • any pre-payments, part payments or deposits including food, beverage and other items are transferred and referenced in detail by the booking system or ordering system, to the POS system on arrival and eliminate the need for the opening of pre-paid accounts within POS systems or other accounting systems which then require manual transfer of amounts between accounts etc. and a subsequent manual reconciliation process.
  • Embodiments therefore include integrations for dynamic floor plans; table and chair seating plans, allocations and details; orders; payments; deposits; sale items; Etc.; CRM detail integration as it related to the booking allocation and ordering processes of the current invention (241)
  • Embodiments of this application are supported by, and with further details provided within the additional related patent applications:
  • the booking allocation system incorporates a transaction system that replaces and enhances the functionality of a traditional P O S. system.
  • a transaction system is far more efficient and renders a traditional P.O.S. system obsolete, as most transactions do not occur at one point (hence the current name and terminology of Point-of-Sale systems) but the transactions occur at multiple points and the traditional P.O.S systems no longer represent an efficient core revenue or accounting system.
  • the current invention with respect to POS systems relates to the integration and use of POS systems with a booking allocation system such that a person making an order at a counter can be allocated a table and or seat within the venue at the same time with or without a stipulated duration time.
  • a person making an order at an ordering kiosk within a venue can be allocated a table or a seat at the venue with or without a stipulated duration time.
  • the embodiment through the integration of a booking system can advise the person how long they can occupy or use the table or chair.
  • an appointment app a person can be allocated a table including duration permitted.
  • the application of the invention to gyms, hairdressers and even to the appointment setting processes of lawyers etc. Embodiments of this application are supported by, and with further details provided within the additional related patent applications and more specifically:
  • embodiments of stock control relate the creation of alternate menu item for allergies and dietary requirements of the claimed invention.
  • the ordering and purchasing of the claimed invention relate to the creation offering for sale items not traditionally associated with restaurants and the automation of the transactional aspects so that no manual intervention or work is required. This includes the ordering of additional tables and chairs if the allocation model determines the requirement for additional furniture.
  • embodiments of the home delivery, takeaway integrations for production and time scheduling include the monitoring of time durations, and the autonomous turning on, turning off, or provision of time information concerning food production times, yield management, dynamic pricing and point of sale (POS) integration of the transactional aspects.
  • POS point of sale
  • embodiments of payments include the ability to have different payment rules for different menus, different courses, different booking times, different prices by booking channel, etc., so that a completely dynamic pricing system and payment constraints are created.
  • Embodiments include; payment decision trees; prepayment and payment constraints, different channel constraints, product differentiation, dynamic pricing etc. (247) Embodiments and aspects of this application are supported by, and with further details provided within the additional related patent applications.
  • Artificial Intelligence In one aspect, embodiments of artificial intelligence include the complete automation of the entire restaurant process from a systems perspective which is beyond the ability and scope of prior art systems. Including data mining, advanced analytics, modelling and predictive analysis to automatically amend constraints. (251) Embodiments and aspects of this application are supported by, and with further details provided within additional patent applications and more specifically by the following applications:
  • Alternate Payment Systems (253): In one aspect, embodiments of the alternate payment systems is the ability of a venue to offer alternate payment such as a progress payment option, not available within the prior art. This becomes a viable option within the claimed invention as the autonomous reconciliation of part payments means that the manual reconciliation processes and labour burdens of the prior art are no longer cost prohibitive. Embodiments and aspects of this application are supported by, and with further details provided within the additional related patent applications.
  • Configurable User/User Interfaces Restaurant booking widget, function booking widget, self seating kiosk, self-seating app, restaurant booking app, menu pre-ordering app/widget, promotional apps/widgets, booking form, and integrated systems such as POS systems.
  • User requirements used in the Booking Allocation Buy a specific table, request a specific table, request an extended dining duration, flowers, chocolates, card, entertainment, gift, different order of service, personal waiter, specific personal waiter, budget, occasion etc. (261)
  • Butler Service Ordering of 3 rd Party Services/Products, the changing of the order of service, the introduction of items not traditionally offered by restaurants. (271)
  • Time-Related Booking Optimisation At a predetermined time (e.g.. 1 hr before service), reallocation of all bookings to offer the best tables to the highest ranking, non-guaranteed table-allocated customers (Musical Chairs) (269)
  • Event-Related Booking Optimisation At the occurrence of an event, e.g.: Rain, reallocation of outdoor bookings to tables in undercover Areas, Sub-areas, Sections and Classes. Such a reallocation can be automatic through a linking of the booking process to a third party weather site or through a re-allocation allocation process that has been programmed and can identify the weather affected tables. (273)
  • Capacity-Related Booking Optimisation An event that a particular class of table is at full capacity, a determination if demand for other classes of tables is such that they can be reduced and additional tables offered for the class in demand. (275)
  • Third Party Information Booking Optimisation Theatre information, website information which may have an impact on capacity decision. E.g. allocating bookings to a minimum space in anticipation of a full theatre next door. (279)
  • Pre-service Booking Allocation Optimisation A final optimisation before service taking all the above factors into account, as well as opening up capacity for walk-ins, if such capacity had been previously excluded from the allocated capacity. Creation of run sheets and service notes for staff. If a venue selects self seating option, floor plans and seating locations as they would appear at time of arrival of each booking are sent to each customer. (281)
  • Cockpit Dashboard Dynamic Floor Plan; Time-based floor plan, the booking system having an inbuilt POS system, and the ability to take orders, receive orders, reconcile accounts, etc. including integration to other systems including other POS systems to create a completely integrated dynamic real-time systems environment (283)
  • In-service Booking Allocation Optimisation can be based on any combination or permutation of the above optimisation algorithms or different algorithms which can only use tables located within the restaurant and/or without moving pre-allocated bookings and/or allocating bookings based on space optimisation or other dimension such as allocation to the best table. (285)
  • Point of Sale System A fully integrated with dynamic real-time table plan layout with orders sent to kitchen and bar as appropriate and automatic reconciliations. (291)
  • Accounting System The complete integration of the booking systems with all accounting and transaction systems to produce all reports including revenue; P&L statements such that manual input is minimal (295). Including the implementation of a volumetric framework within the various accounting systems, for example the use of the volumetric framework for per-ordering, the POS system and other accounting systems.
  • Promotional Offers Discount by time interval (2022)
  • FIG. 2a to FIG. 2e are not to be taken as an exhaustive description of the invention or embodiments, but rather a summary of an embodiment, to enable a person skilled in the art to gain an understanding of the broader inventive concept. It will be understood that the preceding and subsequent Figures describe the specific embodiments and aspects as are claimed herein in more detail and provide examples of reduction to practice. Moreover, the description with regard to FIG. 2a to FIG. 2e are not to be taken as evidence that the inventive concept is“abstract” or the mere implementation of an abstract concept. Rather, the description of FIG. 2a to FIG. 2e is intended as a primer or high-level view of the system as a whole, to enable the person skilled in the art to better understand the inventive concept.
  • FIGs. 2a to 2e are not prescriptive in that all herein features, steps and algorithms are required to be taken or taken in the order that they are shown the description or that they form a definitive list of features, steps and algorithms that comprise the invention
  • the purpose of FIGs 2a to 2e and the comparison to a prior art system shown in FIG. 2f and 2g is to highlight the inventive concept of using the knowledge of space, objects and their relativity and utility data combined with a series of algorithms optimise a space based on the strategic parameters or constraints of a venue.
  • the first embodiment referred to as the First Algorithm is termed the "Strategic Capacity Control" algorithm, module 263, which makes an assessment of requests based on availability with reference to allocations by space, subspace, class, by time, allowing capacity for walk-ins, by menu, by course, etc.
  • the second embodiment referred to as the Second Algorithm is termed the "Optimisation of Space Outcomes” module 265, and is relevant to guaranteed table allocations.
  • the algorithm which is an iterative seating optimisation algorithm which is arranged to allocate seating first to Super VIP’s and guaranteed seating allocations then based on availability by VIP, group size, etc., to optimise the allocation and position of tables. This algorithm is arranged to optimise floor space efficiency around guaranteed table allocations.
  • the third embodiment referred to as the Third Algorithm is termed the "Time Related Optimisation" algorithm, module 269, which is best described by an example. For example, one hour before service, if it is decided that no new tables should be added, all bookings are reviewed, and, if there are two different bookings at 6pm and one booking is from a regular customer and one is from a first time visitor, the regular customer is allocated to the better table and the first time customer is allocated to the other table.
  • the fourth embodiment referred to as the Fourth Algorithm is termed the "Event Related Optimisation” algorithm, module, 273, which is triggered or undertaken by the occurrence of an event. For example, if it rains, the algorithm would re-allocate part or all of the bookings to outside tables to inside tables as all or part of the outside tables may be rendered unusable.
  • the fifth embodiment referred to as the Fifth Algorithm is termed the "Full Capacity Optimisation”, module, 275, which is triggered or undertaken when one space, subspace, or class is full. For example, if a specific class within the restaurant was full the algorithm would evaluate if demand for the other classes for that service had availability. If other classes had availability then it would determine if those tables would be filled and what the revenue and contribution would be and if it then determined that it would be best to increase the size of the class that was full and reduce the seating availability in another class it could do so and increase the capacity within the class for which the booking request was received and allocate the booking request against one of the additional tables created in the expanded class.
  • the “Full Capacity Optimisation”, module, 275 which is triggered or undertaken when one space, subspace, or class is full. For example, if a specific class within the restaurant was full the algorithm would evaluate if demand for the other classes for that service had availability. If other classes had availability then it would determine if those tables would be
  • the sixth embodiment referred to as the Sixth Algorithm is termed the "Strategy and Ambiance Optimisation", module 277, algorithm. All bookings are reviewed, and if it is found that the restaurant will not be at capacity, the bookings are spread around the restaurant so that a better ambience is achieved within the restaurant For example, if a restaurant only has two bookings for a Monday evening, the Second Algorithm may have sat both bookings next to each other in a back corner of the restaurant as this was the most efficient use of the restaurant space. This algorithm recognises that this arrangement is not an ideal seating arrangement for an empty restaurant and allocates the two bookings in this example to give both bookings the two best available tables.
  • the seventh embodiment referred to as the Seventh Algorithm is termed the“Third Party Information Optimisation”, module 279 algorithm.
  • the optimisation algorithm could access third party information such as the bookings for the local theatre and the start and finish times of a show to determine capacity allotments and constraints. Further, it can determine not to offer discounts or promotions at 9pm as the theatre will finish and it expects numerous walk-in customers.
  • the eighth embodiment referred to as the Eighth Algorithm is termed the "Pre-Service Quantitative and Qualitative" algorithm, module 281.
  • This is the final optimisation algorithm before a service and can be a combination of one or more of the previous algorithms at the discretion of the restaurant manager. It is run at a predetermined time before service and is also used to create run sheets and provide information to restaurant staff as well as provide final seating plans and arrangements for self-seating customers.
  • a restaurant can be split into different classes part of a restaurant can offer self-seating and part of a restaurant can offer full table service.
  • the ninth embodiment referred to as the Ninth Algorithm is termed the "In-service Allocations without additional tables or changing existing table allocations" algorithm, module 285.
  • This algorithm is executed after service begins and new bookings are limited to the use of only tables physically available within the restaurant.
  • the in-service optimisation process uses the In-service Allocations algorithm to provide a limited optimisation process which limits the allocation process by means of additional constraints to optimise request allocation process with minimise the disturbance to current patrons.
  • the Ninth Algorithm is not mandatory as the eighth algorithm or any other algorithm or a combination thereof could continue to be used without the need to unseat existing bookings whilst maintaining the ability to add or remove one or more tables. Further, additional algorithms or variations of the booking algorithms could be added to provide additional and different allocation outcomes and as a consequence provide additional tools for both the customer and the restaurant to achieve their preferred objectives and customer service standards.
  • Annexure 1 Prior art measures and metrics: This annexure highlights the prior art metrics and measures are limited to a limited number of practical and theoretical measures that are used and taught within universities to measure restaurant performance and measurements.
  • Annexure 2 Floor plan guidelines, rankings, and space efficiency measures for the claimed invention: This annexure provides variables related to spatial guidelines and measures, such as; floor space allocation, dining, bar and customer spaces, table top guide, fixed and flexible seating areas including walkways, chair size guide, spacing between tables, waiter stations guide, bar space and bar stools guide, area per person size guide, area per person size guide, area, sub-area, class, section, and table and stool rankings, table analysis, tables for sale, tables for auction, tables dedicated to specific channels, location analysis and floor space efficiency.
  • spatial guidelines and measures such as; floor space allocation, dining, bar and customer spaces, table top guide, fixed and flexible seating areas including walkways, chair size guide, spacing between tables, waiter stations guide, bar space and bar stools guide, area per person size guide, area per person size guide, area, sub-area, class, section, and table and stool rankings, table analysis, tables for sale, tables for auction, tables dedicated to specific channels, location analysis and floor space efficiency.
  • Annexure 3 Capacity utilisation and revenue efficiency measures for the claimed invention: This annexure provides variables related to capacity, utilisation and revenue efficiency measures, which include the concept of dynamic floor plans which is a concept of the claimed invention where by additional tables and chairs can be added to a floor plan during the booking allocation process and these additional tables and chairs need to be included within these performance measures and metrics. These measures and metrics include; revenue yield, seat capacity (production) and utilisation, table capacity (production) and utilisation, units of measure of capacity, physical constraints, hours open, service periods open, service hours open, back of house (kitchen) hours, front of house (dining room) hours, revenue measures.
  • Annexure 4 Booking Analysis for the claimed invention: This annexure provides variables related to booking analysis, such as; Booking requests allocated analysis, booking profile analysis, booking requests rejected analysis, source of booking analysis.
  • Annexure 5 Duration Time Analysis for the claimed invention provides variables related to duration time analysis, such as; duration times by booking size, by occasion, by menu selected, by courses selected, by booking time, by booking day, by customer type, by requests for extended durations, by duration times extended, by table, by class.
  • Annexure 6 Product Mix Analysis for the claimed invention: This annexure provides variables related to a product mix analysis, for areas, subareas, classes, sections, tables, distribution and channel for items such as; food: by time, by service, by day, by server, by channel; Beverage: by time, by service, by day, by server, by channel; Supplementary items: by time, by service, by day, by server, by channel.
  • This annexure provides variables related to revenue and customer performance analysis, such as; detailed revenue analysis, detailed customer analysis detailed customer ranking and detailed channel analysis.
  • Annexure 8 Staff and Roster Parameters for the claimed invention: This annexure provides variables related to staff ratios, requirements, hours, set-up times for the creation of forecasted rosters, performance measurements against those rosters and the use of artificial intelligence to update and maintain those performance measures and use the information to create further improvements to those rosters.
  • Annexure 9 Profit and Loss Layout (a la carte) structure and definitions for variable costs and fixed costs and contribution analysis for the claimed invention: This annexure variables related to the structure and the relationship between revenue and costs and how those revenues and costs can be determined and understood from a contribution perspective and marginal cost perspective such that decisions and actions taken can be measured in terms of cash generation, contribution and performance for reporting, forecasting as well as for feedback in the artificial intelligence loop.
  • Annexure 10 Break Even Analysis, Contribution Margins and Variable Pricing Analysis for the claimed invention: This annexure provides variables related to the specific analysis of the financial performance of the claimed invention, the monitoring of the financial performance, for forecasting and for the use of these measures and metrics for learning and artificial intelligence within the framework of the other annexures detailed within this embodiment. This analysis includes; break even analysis utilising the defined profit and loss statement within annexure 9 and other cost performance and analysis measures.
  • This annexure provides variables related to requesting comparative pricing, supplier performance and reliability and the monitoring of their performance for recommendations and the automatic placement of orders. [00209] Those skilled in the art can appreciate that the structure of the claimed invention, and more specifically with the measures and metrics referred to within the annexures, that these measures and metrics can easily be converted or adopted within the other industries referred to and to which this claimed invention can be applied to.
  • the ResButler posting calendar 300 includes the volumetric framework including three axes, where in the case of rostering, the x-axis 304 and y-axis 302 do not represent width and length or a venue, but rather represent, for example, the task to be performed or the equipment utilised (which is explained in more detail with reference to Figure 3d.
  • the bars 303 represent a specific person.
  • the posting calendar 300 interacts with a user-defined calendar 308.
  • FIG. 3b there is shown a prior art example of a Gantt chart, which utilises two dimensions namely time 310 (which can be subdivided into days 312 and services 314) and people 316. There is no ability to assign a person to a specific task or specific equipment.
  • the second Gantt chart shown in Figure 3b utilises an hourly time 324 in addition to a day 32 and 320, but the structure is fundamentally identical. There is no ability to associate a staff member 345 with a task or specific equipment 347.
  • each resultant“bar 11 in the three dimensional graph represents a person.
  • each person may have specific skills, availabilities, etc., associated with their name.
  • at 332 there is shown three employee types permanent 336, part-time 334 and casual 338, and each person in each type has individual details associated with them, such as skills, training, availability, rate of pay and terms of employment.
  • FIG. 3d it is shown that some aspects of the embodiment may be applied to the known prior art to improve outcomes.
  • three separate Gantt charts 316, 342 and 344, each of which interact with database 332 to produce a series of three Gantt charts that, when taken together, produce a similar outcome to the volumetric framework.
  • Flowever, having three separate Gantt charts is not as efficient or visually understandable as having a single chart.
  • FIG. 4a-b there is shown a screenshot 400 of the ResButler floor plan for a restaurant with variability by time in accordance with an embodiment of the invention.
  • the allocation of staff to particular areas of the restaurant At 402 there is shown a summary of the areas displayed and at 404 there is shown a summary of the floor plan features displayed.
  • the option to show staff may be turned on and off by utilising slide switch 406.
  • the changes over a service period or day may be viewed by the operator by utilising slider 408.
  • Area box 410 indicates a bounded area allocated to a staff member, as shown by tags 412, 414, 416, 418 and 420.
  • a summary table is displayed at area 422 which includes a staff list 424 and 426, which in turn display (as an example) staff members 425 and 427 and their allocation to particular tasks or jobs.
  • FIG. 4b there is shown] a screenshot of the ResButler floor plan for a restaurant with variability by time in accordance with an embodiment of the invention.
  • areas may be combined (such as 432) thereby varying the staff member attached to the area 430.
  • a similar example can be seen with reference to 434, where two separate jobs in the kitchen are merged and one staff member is allocated to two pieces of equipment/jobs.
  • FIG. 5a there is shown a diagrammatic representation of a space and volume framework including processing modules arranged to interact with the volumetric framework as applied to a rostering system which determines rosters based on allocated bookings in a booking system in accordance with the embodiment of the invention.
  • the central aspect of the rostering system is the volumetric framework 501 located within the volumetric calendar 502 which can then post to a reporting calendar 506.
  • the volumetric calendar selects a rostering framework and also utilises a time framework 532.
  • a database of staff information 520 is kept, and utilising an artificial intelligence module 514, which utilises new booking requests as a trigger 512, reviews the roster based on the last booking received 516, and amends the roster 518 and returns the amended roster to the calendar 502.
  • the artificial intelligence module 514 and space/volumetric calendar 502 also make use of a forecasting module 522, which includes access to a forecasted events database 530, measurement and staff metrics 528, weather information 526 and a historical events database 524.
  • the ResButler posting calendar 600 includes the volumetric framework including three axes, where in the case of rostering, the x-axis 604 and y-axis 602 represent width and length or a venue, and the equipment utilised such as 601 , 603 and 605. As per previous examples, the posting calendar 600 interacts with a user-defined calendar 608.
  • the ResButler posting calendar 610 includes the volumetric framework including three axes, where in the case of rostering, the x-axis 614 and y-axis 612 represent width and length or a venue (forgot to mention 616 - Z axis), and the equipment utilised such as 611 , 613 and 615. As per previous examples, the posting calendar 610 interacts with a user-defined calendar 618.
  • the ResButler posting calendar 620 includes the volumetric framework including three axes, where in the case of rostering, the x-axis 624 and y-axis 622 represent width and length or a venue (forgot to mention 626 - Z axis), and the equipment utilised such as 621 , 623 and 625.
  • the posting calendar 600 interacts with a user-defined calendar 628.
  • the ResButler posting calendar 630 includes the volumetric framework including three axes, where in the case of rostering, the x-axis 632 and y-axis 634 do not represent width and length or a venue, but rather represent, for example, the task to be performed or the equipment utilised which is then tracked in a third dimension 636 over time.
  • the bars 631 represent a specific person.
  • the posting calendar 630 interacts with a user-defined calendar 638.
  • FIG. 7a there is shown is shown a screenshot of the ResButler floor plan for a hair salon with variability by time in accordance with an embodiment of the invention.
  • the allocation of staff to particular areas of the salon At 700 there is shown a summary of the areas displayed and at 702 there is shown a summary of the floor plan features displayed.
  • the option to show staff may be turned on and off by utilising slide switch 704.
  • the changes over a service period or day may be viewed by the operator by utilising slider indicated by 706 and 708.
  • Area box 710 indicates a floor plan for a salon, including equipment 712, 714, 716, 718 and 720.
  • a summary table is displayed at area 722 which includes a staff list 724, which in turn displays specific staff members 726 with specific start times 721, break times 723 and finish times 725.
  • FIG. 7b there is shown is shown a screenshot of the ResButler floor plan for a hair salon with variability by time in accordance with an embodiment of the invention.
  • staff will move to different equipment over time thereby varying the staff member attached to the area. For example, at 728 there is a different staff member.
  • the system allows an unskilled operator to operate a complex roster utilising actual and forecasted booking information as an input to create a standard roster, taking into account the arrival and all other details of a booking.
  • the system will utilise the staffing metrics and overlay the“standard” staffing requirements over the actual and forecasted booking information to create the standard rosters.
  • the system uses information including staff skills, availability and other staff information to allocate staff to the standard rosters within the timeframe required by individual and specific labour agreements for the specific venue.
  • the system automatically updates changes and notifications to staff rosters in accordance with the relevant, specific labour agreements. If bookings and forecasts change after the labour agreement time frame, taking into account the value of the additional revenue and its contribution as compared to the additional labour and other costs, and if a positive contribution is achievable, accepting the additional bookings during the booking allocation process.
  • the system tracks actual staffing levels as modified and manually changed by management to update its staff metrics in the calculation of standard rosters and skill levels required within those rosters, such that an artificial intelligence module can be applied to the roster creation and development process.
  • the system In combination with the widget, floor plan, booking algorithm and with the CRM, the system is capable of providing truly individual service not only to each dining party, but to each individual guest in each dining party, while doing so in an efficient manner, by only allocating the human resources required to perform tasks as necessary.
  • the system can provide billions of customised experiences, such that no two dining experiences are exactly alike. To put it another way, the system allows the diner to choose any option and any combination that is possible, without the need for intervention by the restaurant operator.
  • the system also provides more certainty for the employee.
  • the employee is given more notice of work, is potentially employed more often, and correspondingly, is more fulfilled at work because the employee is only employed when the venue is busy. It has become recognised in the last few years that while too much work is stressful, too little work can also create stresses on an employee and is therefore not beneficial.
  • By providing a roster that meets the needs of the venue while providing an optimal amount of gainful employment for the employee provides benefits to all parties.
  • API Application Programming Interface
  • ADK Application Development Kit
  • program libraries for use by a developer, for the creation of software applications which are to be used on any one or more computing platforms or devices, such as a terminal or personal computer operating system or a portable computing device, a smartphone or a tablet computing system operating system, or within a larger server structure, such as a‘data farm’ or within a larger computing transaction processing system.
  • program modules include routines, programs, objects, components and data files that perform or assist in the performance of particular functions
  • functionality of the method, computer program and computer interface defined herein may be distributed across a number of routines, programs, objects or components to achieve the same functionality as the embodiment and the broader invention claimed herein.
  • Such variations and modifications are contemplated by the inventor and are within the purview of those skilled in the art.
  • the devices, computing systems, servers, etc., that constitute the embodiments and/or invention or interact with the embodiments and/or invention may transmit and receive data via any suitable hardware mechanism and software protocol, including wired and wireless communications protocols, such as but not limited to second, third, fourth and fifth generation (2G, 3G, 4G and 5G) telecommunications protocols (in accordance with the International Mobile Telecommunications-2000 (IMT-2000) specification), Wi-Fi (in accordance with the IEEE 802.1 1 standards), Bluetooth (in accordance with the I EEE 802.15.1 standard and/or standards set by the Bluetooth Special Interest Group), or any other radio frequency, optical, acoustic, magnetic, or any other form or method of communication that may become available from time to time.
  • 2G, 3G, 4G and 5G 2G, 3G, 4G and 5G telecommunications protocols
  • Wi-Fi in accordance with the IEEE 802.1 1 standards
  • Bluetooth in accordance with the I EEE 802.15.1 standard and/or standards set by the Bluetooth Special Interest Group

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Abstract

Dans un mode de réalisation, la présente invention concerne un procédé assisté par ordinateur pour la création d'une infrastructure d'espace/temps volumétrique qui incorpore un plan de sol d'un site et pour l'utilisation de l'infrastructure d'espace/temps volumétrique pour incorporer une pluralité de contraintes dans l'espace incluant du mobilier et/ou un équipement et/ou une dotation en personnel et/ou une production et/ou des prévisions et/ou des revenus capables de fournir des informations concernant une pluralité d'éléments d'équipement attribués à l'infrastructure d'espace/temps volumétrique, la pluralité des contraintes étant associées à la production d'un ou de plusieurs produits et à la distribution d'un ou de plusieurs services fournis par le site.
PCT/AU2020/050415 2017-10-31 2020-04-28 Procédé assisté par ordinateur, système et programme d'ordinateur pour fournir une interface utilisateur intuitive et un algorithme conçus pour créer une liste dynamique utilisant un algorithme d'attribution pour réaliser une tâche d'attribution de personnel à des tâches sur un lieu de travail WO2020220075A1 (fr)

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US17/452,770 US20220188709A1 (en) 2017-10-31 2021-10-28 Computer-enabled method, system and computer program for dynamically altering constraints utilised in the management of a space, furniture, equipment or service

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AU2019901439 2019-04-29
AU2019901439A AU2019901439A0 (en) 2019-04-29 A computer-enabled method, system and computer program for providing an intuitive user interface and algorithm arranged to create a dynamic roster utilising an allocation algorithm to perform the task of the allocation of staff to tasks in a workplace
AU2019903017A AU2019903017A0 (en) 2019-08-19 A computer-enabled method, system and computer program for providing an intuitive user interface and algorithm arranged to create a dynamic roster utilising an allocation algorithm to perform the task of the allocation of staff to tasks in a workplace
AU2019903017 2019-08-19

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US12045744B2 (en) 2017-10-31 2024-07-23 Grand Performance Online Pty Ltd Autonomous and integrated system, method and computer program for dynamic optimization and allocation of resources for defined spaces and time periods
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CN117726142A (zh) * 2024-02-06 2024-03-19 武汉市驿宝通网络科技有限公司 商品采购的动态调整方法、装置和存储介质
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