AU2017285478A1 - System and method for estimated delivery time calculation based on real time location - Google Patents

System and method for estimated delivery time calculation based on real time location Download PDF

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AU2017285478A1
AU2017285478A1 AU2017285478A AU2017285478A AU2017285478A1 AU 2017285478 A1 AU2017285478 A1 AU 2017285478A1 AU 2017285478 A AU2017285478 A AU 2017285478A AU 2017285478 A AU2017285478 A AU 2017285478A AU 2017285478 A1 AU2017285478 A1 AU 2017285478A1
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time
customer
location
delivery
estimated
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Donald Jeffrey MEIJ
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Dominos Pizza Enterprises Ltd
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Dominos Pizza Enterprises Ltd
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Priority claimed from AU2016902325A external-priority patent/AU2016902325A0/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/12Hotels or restaurants

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Abstract

A system is provided for estimating the arrival time of a delivery at a delivery location calculated based on the real time locations of the respective parties and particularly to a computer implemented system and method allowing accurate calculation and transmission of data between geographically remote parties.

Description

SYSTEM AND METHOD FOR ESTIMATED DELIVERY TIME CALCULATION BASED
ON REAL TIME LOCATION
TECHNICAL FIELD [0001] The present invention relates to a system for estimating the arrival time of a delivery at a delivery location calculated based on the real time locations of the respective parties and particularly to a computer implemented system and method allowing accurate calculation and transmission of data between geographically remote parties.
BACKGROUND ART [0002] In the fast food industry, it is common knowledge that customers who order one or more items to be delivered to them may engage in other activities whilst awaiting the arrival of their delivered items.
[0003] In instances of food delivery, a customer will normally order a meal which must then be prepared and cooked before delivery to the customer. Typically, the customer will order the meal either over the telephone or in another method such as over the Internet and then await delivery, typically without too much indication of when the delivery is expected to arrive.
[0004] One problem with existing systems is that because there is no real indication other than a generic “your meal should arrive in approximately 30-40 minutes”, the customer has no useable indication of when the delivery is likely to arrive. The customer may undertake other actions whilst waiting and therefore, if the delivery arrives unexpectedly, the customer may not be ready for the delivery, could be otherwise occupied and in some cases, may have actually gone out, expecting to be back within the approximately 30-40 minutes estimated.
[0005] This can cause delays in receiving the order which when it comes to fast food, can lead to a noticeable loss in quality of the meal, particularly if the mean has been cooked to order.
[0006] It will be clearly understood that, if a prior art publication is referred to herein, this reference does not constitute an admission that the publication forms part of the common general knowledge in the art in Australia or in any other country.
SUMMARY OF INVENTION [0007] The present invention is directed to system and method for estimated delivery time calculation based on real time location, which may at least partially overcome at least one of the
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PCT/AU2017/050601 abovementioned disadvantages or provide the consumer with a useful or commercial choice.
[0008] With the foregoing in view, the present invention in one form, resides broadly in a system for estimating the arrival time of a delivery at a delivery location calculated based on the real time locations of the respective parties, the system including
a) a central server processing system to receive location data defining a delivery location of a customer, the location data obtained from an electronic order for one or more ordered goods to be delivered to the delivery location from a meal preparation store at a store location,
b) a customer personal computing device operating compliant software for sending information to the central server processing system in relation to the electronic order, the central server processing system having access to a transit data provider to obtain real time information relating to transit times between at least two locations, wherein submission of the electronic order by a customer via the customer personal computing device operating compliant software triggers calculation of an estimated delivery time based on at least an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider, and provision of the estimated delivery time to the customer via the customer personal computing device.
[0009] In an alternative form, the present invention resides in a central server processing system to receive location data defining a delivery location of a customer, the location data obtained from an electronic order for one or more ordered goods to be delivered to the delivery location from a meal preparation store at a store location, the electronic order placed by a customer via a customer personal computing device operating compliant software for sending information to the central server processing system, the central server processing system having access to a transit data provider to obtain real time information relating to transit times between at least two locations, wherein submission of the electronic order by a customer via the customer personal computing device operating compliant software triggers calculation of an estimated delivery time based on at least an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider, and provision of the estimated delivery time to the customer via the customer personal computing device.
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PCT/AU2017/050601 [0010] In a further form, the present invention resides in a customer personal computing device operating compliant software for sending information to a central server processing system in relation to an electronic order, the central server processing system to location data defining a delivery location of a customer, the location data obtained from an electronic order for one or more ordered goods to be delivered to the delivery location from a meal preparation store at a store location, the central server processing system having access to a transit data provider to obtain real time information relating to transit times between at least two locations, wherein submission of the electronic order by a customer via the customer personal computing device operating compliant software triggers calculation of an estimated delivery time based on at least an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider, and provision of the estimated delivery time to the customer via the customer personal computing device.
[0011] Preferably, the central server computing system will transmit the estimated delivery time to the customer via a customer personal computing device operating the compliant software.
[0012] In a preferred form, the delivery location of a customer is ascertained utilising the real time or near real time location of the customer personal computing device operating the compliant software used to order the ordered goods or is extracted from the information provided by a customer during creation of their electronic order.
[0013] In one preferred form, the estimated delivery time may further include an allowance of time for the delivery person to walk between the store and their vehicle prior leaving on the delivery and from their vehicle to the customer’s door at the delivery location.
[0014] The system of the present invention may be implemented in two different scenarios, namely an order placed for delivery as soon as possible (an ASAP order) and an order to arrive at a delivery location at a time designated by the customer (a timed order).
[0015] If the electronic order is submitted as an ASAP order, the process is typically one in which the central server processing system will typically calculate an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider and use at least these two calculated parameters to establish an estimated delivery time which is then preferably communicated to the customer.
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PCT/AU2017/050601 [0016] If the electronic order is submitted as a timed order, the process may differ in that the same calculations take place but these calculations are then used as a basis for when processing of the order should commence at the store. Once the estimated delivery time has been calculated, the central server processing system can then work backwards to calculate an “order initiate time” when the store should begin preparing the order to account for the estimated store dispatch time and the estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider so that the order is delivered as close as possible to the delivery time designated by the customer.
[0017] The estimated store dispatch time and the estimated drive time are preferably monitored in real time and compared to any timed orders to account for any changes in the estimated delivery time (caused by any changes in either or both of the estimated store dispatch time and the estimated drive time) to in turn, adjust the order initiate time so that the order is delivered as close as possible to the delivery time designated by the customer taking into account the changing nature of the two calculated times (estimated store dispatch time and the estimated drive time) as a result of changes to the meal preparation store operating conditions.
[0018] The central server processing system of the present invention will typically receive an electronic order which is produced and submitted by a customer, using a personal computing device operating compliant software in order to create and submit an order for goods, normally one or more food items, to the central server processing system. The central server processing system will typically analyse the electronic order for location information within the electronic order or supplied with the electronic order to ascertain the delivery location.
[0019] The central server processing system will then use that delivery location to calculate an estimated transit time, preferably in combination with information obtained from a traffic or map data provider. The central server processing system will therefore typically electronically recognise the location information from the electronic order submitted by the customer for use in the calculation of the estimated transit time or alternatively, the personal computing device from which the order is placed will provide location information as a part of the electronic order.
[0020] The central server processing system may utilise information from or integrate with an online ordering system which will mean that the information provided in the electronic order will typically always be entered in the same manner making recognition of the information contained in the electronic order or transmitted with the electronic order simpler for the central server processing system.
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PCT/AU2017/050601 [0021] The system of the present invention may request that the customer opt in to the system. The offer to opt in is preferably only made if the order matches one or more qualifying criteria and the central server processing system will typically electronically compare the information from the electronic order to one or more of the qualifying criteria and if the central server processing system finds that the order satisfies the required one or more qualifying criteria, then an offer interface is produced and generated on the personal computing device of the customer and if the central server processing system finds that the electronic order does not satisfy the required one or more qualifying criteria then no offer interface is produced and generated and the electronic order will simply be processed according to the normal online ordering interfaces. According to a preferred embodiment, the estimated delivery time will simply be adjusted to account for variances in the makeup of the electronic order according to the real-time calculation of the estimated store dispatch time and the estimated drive time.
[0022] Once the offer for inclusion in the system of the present invention is made and accepted by the customer, typically through interaction with the compliant software on the personal computing device of the customer, the electronic order is preferably processed according to the system.
[0023] In a preferred embodiment, the personal computing device that a customer uses to place the electronic order includes at least one location receiver to obtain location data indicative of a location of the personal computing device in real time and the compliant software application operating on the personal computing device will typically include the location data in or with the electronic order.
[0024] The at least one location receiver will typically interact with a location network to determine the location of the location receiver and thereby, determine the location of the personal computing device. In a particularly preferred form, the at least one location receiver will be a GPS receiver.
[0025] Preferably, the location is determined as close as possible to real time.
[0026] The personal computing device also preferably includes a wireless communications module to transfer information relating to the location data. The wireless communication module preferably transfers information from the personal computing device to the central server processing system of the present invention. The wireless communication module may be integrated with the location receiver or be separate thereto. Where separated, typically, the wireless communication module and the location receiver are provided in the same housing. This
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PCT/AU2017/050601 typically allows the wireless communication module and location receiver to draw power from the same source although this is not strictly necessary.
[0027] The wireless communication module can operate based on any wireless system, for example, cell phone networks, radio networks, data networks and the like. Most commonly, the location is determined using GPS, and the wireless communications module is based on SMS, GPRS, a satellite or terrestrial radio from the personal computing device to a radio receiver. GSM is the most common services applied, because of the low data rate needed, and the low cost and near-ubiquitous nature of these networks. The low bandwidth requirements also allow for satellite technology to receive data at a moderately higher cost, but across a global coverage area and into very remote locations not covered well by terrestrial radio or public carriers.
[0028] The system of the present invention includes a central server processing system and the central server processing system will typically operate a software subsystem to receive the location data from each personal computing device from which an order has been placed and based on the location data, to transfer information relating to electronic orders and the delivery location for dissemination to each of the meal preparation stores in a network as required. The central server processing system is normally remotely located from the respective meal preparation stores.
[0029] The system may be operated or administered by a system administrator which is separate to the operator of any meal preparation store.
[0030] The central server processing system may interact with other components of the system to transfer information to and/or receive information from other components of the system.
[0031] Information is typically accessed within the system through the central server processing system. Queries are generally submitted to the central server processing system and databases storing information are typically accessed via the central server processing system as required or as pursuant to a request.
[0032] The personal computing device can be of any type such as a tablet or computer or the like but will preferably be a smart phone or other similar device which is carried by a person and is therefore easily accessible to them at the majority of times. The personal computing device of the preferred embodiment will include a processor having an associated memory for storing instructions and a display upon which the interface can be generated and displayed allowing user interaction with the software application. As mentioned above, the personal computing device
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PCT/AU2017/050601 will typically include a transmitter for transmitting location data and normally, personal computers and devices such as those discussed above have access to a number of communications pathways such that the location data can be transmitted via any one or more of a variety of communications pathways. These communications pathways typically include Wi-Fi, Bluetooth as well as telecommunications networks and data links or RFID but any portion of the electromagnetic spectrum could be used.
[0033] Normally, the software application operating on the personal computing device according to instructions stored in the memory of the personal computing device and put into effect using the processor and controlled by interaction with the user via one or more interfaces generated and displayed on the display and/or other input apparatus provided with the personal computer device in order to interact with the system as required.
[0034] As mentioned above, the system of the present invention is directed at ensuring as far as possible that the ordered goods are delivered at or as close as possible to the time at which the customer has been informed that the delivery is to arrive r the time at which the customer has designated that the delivered goods should arrive at the delivery location. The system of the present invention preferably achieves this through calculation of the estimated transit time based on the delivery location of the customer and/or the estimated preparation and cooking time for the ordered goods and then using both of these calculated times to plan the preparation and cooking of the ordered goods and/or provide a relatively precise identification of the estimated delivery time taking into account the real-time conditions both in the store preparing the ordered goods and the traffic conditions in which the delivery will take place.
[0035] The system of the present invention includes a central server processing system to receive location data defining a delivery location, the location data obtained from an electronic order for one or more ordered goods to be delivered from a meal preparation location, the electronic order placed by a customer via a customer personal computing device operating compliant software for sending information to the central server processing system.
[0036] As mentioned, the customer will place an electronic order for one or more ordered goods to be delivered to a delivery location from a meal preparation location. The electronic order will typically include delivery location data and the delivery location data can be obtained in any way. For example, the delivery location data may be obtained directly from the personal computing device used to make the electronic order based on a real time location of that personal computing device. The system of the present invention may produce and generate an interface on the personal computing device to enable location services or a similar functionality on the
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PCT/AU2017/050601 personal computing device if the system of the present invention detects that the location services or similar device is not currently enabled.
[0037] Alternatively, the delivery location data may be entered by a customer with an electronic order. For example, the system of the present invention may produce and generate an interface on the personal computing device which allows the user to enter the delivery location data or select delivery location data from one or more options. It is preferred that if the user enters or selects delivery location data, that the delivery location data be provided in a specific field on the electronic interface and/or in a particular format in order to allow the system to electronically extract or recognise the delivery location data.
[0038] Still further, the delivery location data may be populated from a customer profile or similar associated information base. For example, the customer may have a customer profile unique to them in accordance with the system of the present invention and which includes a number of addresses such as a home address and a work address which will allow a user to select quickly from often used addresses.
[0039] Typically, a confirm/change option will be provided enabling the customer to confirm their delivery location data and/or change the delivery location data.
[0040] Importantly, the system of the present invention may allow a customer to use delivery location data which may not be the current location of the customer but instead, be the location at which the customer wishes the delivery to occur.
[0041] The central server processing system of the present invention will typically use the delivery location data obtained from the electronic order to calculate an estimated transit time. The central server processing system will typically engage with one or more external service providers in order to calculate an estimated transit time. For example, the central server processing system will typically access a transit data provider to obtain real time information relating to transit times between at least two locations.
[0042] The transit data provided may be of any type depending upon the mode of delivery transport selected by the delivery company. Normally, deliveries will occur by car, and the central server processing system will generally contact a traffic or map provider. Preferably, the transit data provider will allow the central server processing system to undertake a real-time calculation of an estimated transit time from the meal preparation store to the delivery location.
[0043] The estimated drive time may be recalculated at any time. For example, it may be
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PCT/AU2017/050601 recalculated when an order is ready to leave the store. In that example situation, a delivery driver will normally assign the delivery to themselves using the store management or delivery management software (which will typically interface with the system of the present invention and provide information in real time to the central server processing system). The system may recalculate the estimated drive time or estimated delivery time and compare with the originally calculated estimated drive time or estimated delivery time and if a significant difference is present, the system may update the estimated delivery time provided to the customer and forward the new estimate to the customer through the software operating on the customer personal computing device and/or provide the updated estimate to the customer via another mechanism such as an SMS message or other type of message externally of the system of the present invention.
[0044] The central server processing system will typically communicate with the meal preparation store.
[0045] The central server processing system will also preferably calculate an estimated store dispatch which includes estimated preparation and cooking time based typically on the information provided in the electronic order as to the nature of the meal required and using data obtained from the meal preparation or store from which the delivery will occur. For example, a meal consisting of 2 pizzas may have a 2 minute make time and an 8 minute estimated cook time, whereas a meal consisting of 8 pizzas may have a longer make time and a slightly longer cook time.
[0046] Still further, the estimated store dispatch time may change depending upon the time of the day or the day itself upon which the order is placed. For example, Friday night tends to be the busiest time of the week for fast food delivery and therefore, estimated lead times on Friday night between 5:30 PM and 7:30 PM may be longer or shorter than a customer who wishes to have an order delivered at 1 PM on Saturday afternoon.
[0047] Still further, the estimated store dispatch time may change depending upon the particular store from which the delivery will occur. For example, some stores may maintain a higher number of delivery drivers at any particular time which means that a delivery driver will normally be present and available to take an order as the order finishes preparation and cooking whereas other stores may have a lower number of delivery drivers which means that the delivery cannot leave the store immediately after it finishes preparation and cooking.
[0048] Preferably, the estimated store dispatch time will be calculated in real time. As
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PCT/AU2017/050601 mentioned above, the estimated store dispatch time will typically be based on data collected from the store to which the order is sent to be filled. The particular store statistics will preferably be provided to the central server processing system in real time in order to allow calculation of the estimated lead time. The central server processing system will typically interact with the food preparation store management software as information relating to preparation and cooking times will typically be available from the food preparation location or store management software which is generally designed to track these types of statistics. The calculation of the estimated store dispatch time may also account for the availability of delivery drivers. Normally a store will maintain data in relation to the period between receipt of an order and the time a driver is assigned a deliver to leave that store. This will normally be an average and will normally be accounted for calculation of the estimated store dispatch time. This period will typically change in real-time and preferably the real-time average will be used in the calculation.
[0049] As a part of the electronic order, the customer will usually be asked to provide information about the food preparation store from which the delivery is to occur. This information may be populated into the electronic order based on previous orders or alternatively, the customer may be prompted to select a particular store from those used previously, or those in a particular geographic location such as those closest to the real-time location of the personal computing device from which the electronic order is placed or closest to the customer’s home address or work address for example. Still further, the customer may be able to enter an address but where this occurs, the address will typically be required to be entered in a specific field and/or form in order to allow the central server processing system of the present invention to electronically recognise the address from the information entered into the one or more interfaces generated in displayed on the personal computing device during the creation of the electronic order.
[0050] The customer personal computing device from which the electronic order is placed operates compliant software and submission of the electronic order triggers calculation of an estimated delivery time including a calculation of estimated store dispatch time and the estimated drive time based on a comparison of the delivery location with the meal preparation store location with input from the transit data provider, and transmits the estimated delivery time to the customer via a customer personal computing device operating the compliant software.
[0051] The compliant software will typically include or interact with ordering software and in one preferred embodiment, is based on an online ordering system. The compliant software will typically generate and display one or more interfaces which will not only guide the customer
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PCT/AU2017/050601 through the ordering process, but will also ensure that information is provided allowing electronic extraction from the electronic order for use by the central server processing system.
[0052] The one or more generated and displayed interfaces will typically require information to be entered in a specific field and/or form and/or allow the customer to make selections in order to create an electronic order.
[0053] In particular, the central server processing system will preferably prompt the customer to indicate whether the ordered goods are required as soon as possible (ASAP order) or at a particular time (timed order) in order to categorise the electronic order. Typically, an ASAP order is to be prepared, cooked and delivered as soon as possible and a timed order is one to be arrive at the delivery location as close as possible to the time designated by the customer. This selection may be as simple as the provision of an action button for each option allowing selection as required by the customer.
[0054] The central server processing system will typically switch the categorisation of a timed order to an ASAP order based on a comparison of the estimated delivery time (including all calculated components) with the time designated by the customer. Normally, a timed order will be held until a point in time is reached prior to the time designated by the customer, which is equal to the estimated delivery time.
[0055] Under normal circumstances, the central server processing system will calculate a real-time estimated delivery time (including all calculated components) and subtract this time from the time designated by the customer to establish an “order initiate time”, that is, the time at which the store should begin preparing the order to account for the estimated delivery time so that the order is delivered as close as possible to the delivery time designated by the customer. Once the order has been converted to an ASAP order, the meal preparation store will typically process the order according to the normal procedure for preparation and cooking within the store.
[0056] It will be clear to a person skilled in the art that the system of the present invention, although described with particular reference to food and food delivery can be used for the estimation of delivery time for any item that has an estimated delivery time based on at least an estimated store dispatch time and an estimated drive time.
[0057] Any of the features described herein can be combined in any combination with any one or more of the other features described herein within the scope of the invention.
[0058] The reference to any prior art in this specification is not, and should not be taken as
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PCT/AU2017/050601 an acknowledgement or any form of suggestion that the prior art forms part of the common general knowledge.
BRIEF DESCRIPTION OF DRAWINGS [0059] Preferred features, embodiments and variations of the invention may be discerned from the following Detailed Description which provides sufficient information for those skilled in the art to perform the invention. The Detailed Description is not to be regarded as limiting the scope of the preceding Summary of the Invention in any way. The Detailed Description will make reference to a number of drawings as follows:
[0060] Figure 1 is a schematic illustration of the hardware components of a preferred embodiment of the system of the present invention.
[0061] Figure 2 is a schematic illustration of the software components of a preferred embodiment of the system of the present invention.
[0062] Figure 3 is a schematic illustration of a home interface of an online ordering subsystem in which the system of a preferred embodiment is implemented.
[0063] Figure 4 is a schematic illustration of a delivery details interface according to a preferred embodiment of the system of the present invention.
[0064] Figure 5 is a schematic illustration of an order time interface according to a preferred embodiment of the system of the present invention.
[0065] Figure 6 is a schematic illustration of an estimated delivery time interface according to a preferred embodiment of the system of the present invention.
DESCRIPTION OF EMBODIMENTS [0066] According to a particularly preferred embodiment of the present invention, a system for estimating the arrival time of a delivery at a delivery location calculated based on the real time locations of the respective parties, is provided.
[0067] The hardware of the preferred embodiment of the system is illustrated schematically in Figure 1 and the software flow is illustrated schematically in Figure 2.
[0068] The preferred embodiment of the system includes a central server 10 operating software to receive location data defining a delivery location of a customer with the location data
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PCT/AU2017/050601 obtained from an electronic order for one or more ordered goods to be delivered from a meal preparation store 11. The electronic order is placed by a customer via a customer personal computing device such as a tablet 12, smartphone 13 or computer 14 operating compliant software for sending information to the central server 10 and receiving information from the central server via a computer network or cloud 15. The central server 10 has access to at least one transit data provider 16 to obtain real time information relating to transit times between at least two locations. According to the preferred embodiment, submission of the electronic order by a customer via the tablet 12, smartphone 13 or computer 14 triggers calculation of an estimated delivery time based on at least an estimated store dispatch time calculated from the meal preparation store 11 and an estimated drive time calculated from a comparison of the delivery location with the location of the meal preparation store 11 with input from the transit data provider 16, and provision of the estimated delivery time to the customer via their tablet 12, smartphone 13 or computer 14.
[0069] In a preferred form, the initial location of a customer is ascertained utilising the real time or near real time location of the tablet 12, smartphone 13 or computer 14 used to order the ordered goods such as by using a satellite 17 based location service such as GPS.
[0070] The central server 10 may interact with other components of the system to transfer information to and/or receive information from other components of the system as illustrated in Figure 2 in particular. Information is typically accessed within the system through the central server 10. Queries are generally submitted to the central server 10 and databases storing the information are typically accessed via the central server 10 as required or as pursuant to a request.
[0071] Normally, the software application operating on the tablet 12, smartphone 13 or computer 14 operates according to instructions stored in the memory of the tablet 12, smartphone 13 or computer 14 and put into effect using the processor and controlled by interaction with the user via one or more interfaces generated and displayed on the display and/or other input apparatus provided with the tablet 12, smartphone 13 or computer 14 in order to interact with the system as required.
[0072] In a particularly preferred form, the delivery location of the customer is ascertained utilising the real time or near real time location of the customer tablet 12, smartphone 13 or computer 14 operating the compliant software which is used to order the ordered goods.
[0073] In one preferred form, the estimated delivery time may further include an allowance
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PCT/AU2017/050601 of time for the delivery person to walk between the store and their vehicle prior leaving on the delivery and from their vehicle to the customer’ door at the delivery location. The estimated store dispatch time may be calculated as an average store dispatch time also accounting for average time the order is in store which may be longer than preparation and cooking time as it may depend upon the availability of a delivery driver.
[0074] In the preferred embodiment, the calculation will preferably be:
Estimated delivery time = Average Store Dispatch time + Estimated Drive Time + Walk Time
Where: Average Store Dispatch time is a rolling average for the last half hour of the store responsible for the delivery, preferably defaulting to ten minutes if there is no value, or the value is under ten minutes.
Estimated Drive Time: is provided by a real-time map data provider such as Google and includes allowances for real-time driving conditions.
Walk Time is 30 seconds.
[0075] The system of the present invention may be implemented in two different scenarios, namely an order placed for delivery as soon as possible (an ASAP order) and an order to arrive at a delivery location at a time designated by the customer (a timed order). A sample interface allowing these selections is illustrated in Figure 5.
[0076] If the electronic order is submitted as an ASAP order, the process is typically one in which the central server 10 will typically calculate an estimated store dispatch time calculated based on information from the meal preparation store 11 and an estimated drive time calculated from a comparison of the delivery location with the meal preparation store location with input from the transit data provider 16 and use at least these two calculated parameters to establish an estimated delivery time which is then communicated to the customer.
[0077] If the electronic order is submitted as a timed order, the process may differ in that the same calculations take place but these calculations are then used as a basis for when processing of the order should commence at the meal preparation store 11. Once the estimated delivery time has been calculated, the central server 10 can then work backwards to calculate an “order initiate time” when the meal preparation store 11 should begin preparing the order to account for the estimated store dispatch time and the estimated drive time so that the order is delivered as close as possible to the delivery time designated by the customer.
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PCT/AU2017/050601 [0078] The estimated store dispatch time and the estimated drive time are preferably monitored in real time. They can then be compared to any timed orders to account for any changes in the estimated delivery time (caused by any changes in either or both of the estimated store dispatch time and the estimated drive time) to in turn, adjust the order initiate time so that the order is delivered as close as possible to the delivery time designated by the customer taking into account the changing nature of the two calculated times (estimated store dispatch time and the estimated drive time) as a result of changes in the operating conditions at the meal preparation store [0079] The central server 10 will typically receive an electronic order which is produced and submitted by a customer, using a tablet 12, smartphone 13 or computer 14 operating compliant software in order to create and submit an order for goods, normally one or more food items, to the central server 10. The central server 10 will typically analyse the electronic order for location information within the electronic order or supplied with the electronic order to ascertain the delivery location.
[0080] The central server 10 will then use that delivery location to calculate an estimated transit time, preferably in combination with information obtained from a traffic or map data provider 16. The central server 10 will therefore typically electronically recognise the location information from the electronic order submitted by the customer for use in the calculation of the estimated transit time or alternatively, the tablet 12, smartphone 13 or computer 14 from which the order is placed will provide location information as a part of the electronic order.
[0081] The central server 10 may utilise information from or integrate with an online ordering system which will mean that the information provided in the electronic order will typically always be entered in the same manner making recognition of the information contained in the electronic order or transmitted with the electronic order simpler for the central server 10.
[0082] The system of the present invention may request that the customer opt in to the system. The offer to opt in is preferably only made if the order matches one or more qualifying criteria and the central server 10 will typically electronically compare the information from the electronic order to one or more of the qualifying criteria and if the central server 10 finds that the order satisfies the required one or more qualifying criteria, then an offer interface is produced and generated on the tablet 12, smartphone 13 or computer 14 of the customer and if the central server 10 finds that the electronic order does not satisfy the required one or more qualifying criteria then no offer interface is produced and generated and the electronic order will simply be processed according to the normal online ordering interfaces. According to a preferred
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PCT/AU2017/050601 embodiment, the estimated delivery time will simply be adjusted to account for variances in the makeup of the electronic order according to the real-time calculation of the estimated store dispatch time and the estimated drive time.
[0083] Once the offer for inclusion in the system of the present invention is made and accepted by the customer, typically through interaction with the compliant software on the personal computing device of the customer, the electronic order is preferably processed according to the system.
[0084] In a preferred embodiment, the tablet 12, smartphone 13 or computer 14 that a customer uses to place the electronic order includes at least one location receiver to obtain location data indicative of a location of the tablet 12, smartphone 13 or computer 14 in real time and the compliant software application operating on the tablet 12, smartphone 13 or computer 14 will typically include the location data in or with the electronic order.
[0085] The at least one location receiver will typically interact with a location network to determine the location of the location receiver and thereby, determine the location of the tablet 12, smartphone 13 or computer 14. In a particularly preferred form, the at least one location receiver will be a GPS receiver.
[0086] Preferably, the location is determined as close as possible to real time.
[0087] The tablet 12, smartphone 13 or computer 14 also preferably includes a wireless communications module to transfer information relating to the location data. The wireless communication module preferably transfers information from the tablet 12, smartphone 13 or computer 14 to the central server 10. The wireless communication module may be integrated with the location receiver or be separate thereto. Where separated, typically, the wireless communication module and the location receiver are provided in the same housing. This typically allows the wireless communication module and location receiver to draw power from the same source although this is not strictly necessary.
[0088] The wireless communication module can operate based on any wireless system, for example, cell phone networks, radio networks, data networks and the like. Most commonly, the location is determined using GPS, and the wireless communications module is based on SMS, GPRS, a satellite or terrestrial radio from the personal computing device to a radio receiver. GSM is the most common services applied, because of the low data rate needed, and the low cost and near-ubiquitous nature of these networks. The low bandwidth requirements also allow for satellite technology to receive data at a moderately higher cost, but across a global coverage area
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PCT/AU2017/050601 and into very remote locations not covered well by terrestrial radio or public carriers.
[0089] The system of the present invention includes a central server 10 and the central server 10 will typically operate a software subsystem to receive the location data from each tablet 12, smartphone 13 or computer 14 from which an order has been placed and based on the location data, to transfer information relating to electronic orders and the delivery location for dissemination to each of the meal preparation stores in a network as required. The central server 10 is normally remotely located from the respective meal preparation stores.
[0090] The system may be operated or administered by a system administrator which is separate to the operator of any meal preparation store.
[0091] The central server 10 may interact with other components of the system to transfer information to and/or receive information from other components of the system.
[0092] Information is typically accessed within the system through the central server 10. Queries are generally submitted to the central server 10 and databases storing information are typically accessed via the central server 10 as required or as pursuant to a request.
[0093] The personal computing device can be of any type such as a tablet or computer or the like but will preferably be a smart phone or other similar device which is carried by a person and is therefore easily accessible to them at the majority of times. The tablet 12, smartphone 13 or computer 14 of the preferred embodiment will include a processor having an associated memory for storing instructions and a display upon which the interface can be generated and displayed allowing user interaction with the software application. As mentioned above, the tablet 12, smartphone 13 or computer 14 will typically include a transmitter for transmitting location data and normally, personal computers and devices such as those discussed above have access to a number of communications pathways such that the location data can be transmitted via any one or more of a variety of communications pathways. These communications pathways typically include Wi-Fi, Bluetooth as well as telecommunications networks and data links or RFID but any portion of the electromagnetic spectrum could be used.
[0094] Normally, the software application operating on the tablet 12, smartphone 13 or computer 14 according to instructions stored in the memory of the tablet 12, smartphone 13 or computer 14 and put into effect using the processor and controlled by interaction with the user via one or more interfaces generated and displayed on the display and/or other input apparatus provided with the tablet 12, smartphone 13 or computer 14 in order to interact with the system as required.
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PCT/AU2017/050601 [0095] As mentioned above, the system of the present invention is directed at ensuring as far as possible that the ordered goods are delivered at or as close as possible to the time at which the customer has been informed that the delivery is to arrive r the time at which the customer has designated that the delivered goods should arrive at the delivery location. The system of the present invention preferably achieves this through calculation of the estimated transit time based on the delivery location of the customer and/or the estimated preparation and cooking time for the ordered goods and then using both of these calculated times to plan the preparation and cooking of the ordered goods and/or provide a relatively precise identification of the estimated delivery time taking into account the real-time conditions both in the store 11 preparing the ordered goods and the traffic conditions in which the delivery will take place.
[0096] The system of the present invention includes a central server 10 to receive location data defining a delivery location, the location data obtained from an electronic order for one or more ordered goods to be delivered from a meal preparation store 11, the electronic order placed by a customer via a customer tablet 12, smartphone 13 or computer 14 operating compliant software for sending information to the central server 10.
[0097] As mentioned, the customer will place an electronic order for one or more ordered goods to be delivered to a delivery location from a meal preparation location. The electronic order will typically include delivery location data and the delivery location data can be obtained in any way. For example, the delivery location data may be obtained directly from the personal computing device used to make the electronic order based on a real time location of that personal computing device. The system of the present invention may produce and generate an interface on the personal computing device to enable location services or a similar functionality on the personal computing device if the system of the present invention detects that the location services or similar device is not currently enabled.
[0098] Alternatively, the delivery location data may be entered by a customer with an electronic order perhaps using an interface such as that illustrated in Figure 4. Accordingly, the system of the present invention may produce and generate an interface on the tablet 12, smartphone 13 or computer 14 which allows the user to enter the delivery location data or select delivery location data from one or more options. It is preferred that if the user enters or selects delivery location data, that the delivery location data be provided in a specific field on the electronic interface and/or in a particular format in order to allow the system to electronically extract or recognise the delivery location data.
[0099] Still further, the delivery location data may be populated from a customer profile or
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PCT/AU2017/050601 similar associated information base, perhaps using data that is “remembered” from a previous order. For example, the customer may have a customer profile unique to them in accordance with the system of the present invention and which includes a number of addresses such as a home address and a work address which will allow a user to select quickly from often used addresses.
[00100] Typically, a confirm/change option will be provided enabling the customer to confirm their delivery location data and/or change the delivery location data.
[00101] Importantly, the system of the present invention may allow a customer to use delivery location data which may not be the current location of the customer but instead, be the location at which the customer wishes the delivery to occur.
[0100] The central server 10 will typically use the delivery location data obtained from the electronic order to calculate an estimated transit time. The central server processing system will typically engage with one or more external service providers in order to calculate an estimated transit time. For example, the central server processing system will typically access a transit data provider to obtain real time information relating to transit times between at least two locations.
[0101] The transit data provided may be of any type depending upon the mode of delivery transport selected by the delivery company. Normally, deliveries will occur by car, and the central server processing system will generally contact a traffic or map provider. Preferably, the transit data provider will allow the central server processing system to undertake a real-time calculation of an estimated transit time from the meal preparation store 11 to the delivery location.
[0102] The central server 10 will typically communicate with the meal preparation store 11 management system to obtain information and send instructions/electronic orders to the meal preparation store 11.
[0103] The central server processing system will also preferably calculate an estimated store dispatch which includes estimated preparation and cooking time based typically on the information provided in the electronic order as to the nature of the meal required and using data obtained from the meal preparation or store from which the delivery will occur. For example, a meal consisting of 2 pizzas may have a 2 minute make time and an 8 minute estimated cook time, whereas a meal consisting of 8 pizzas may have a longer make time and a slightly longer cook time.
[0104] Still further, the estimated store dispatch time may change depending upon the time
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PCT/AU2017/050601 of the day or the day itself upon which the order is placed. For example, Friday night tends to be the busiest time of the week for fast food delivery and therefore, estimated lead times on Friday night between 5:30 PM and 7:30 PM may be longer or shorter than a customer who wishes to have an order delivered at 1 PM on Saturday afternoon.
[0105] Still further, the estimated store dispatch time may change depending upon the particular store from which the delivery will occur. For example, some stores may maintain a higher number of delivery drivers at any particular time which means that a delivery driver will normally be present and available to take an order as the order finishes preparation and cooking whereas other stores may have a lower number of delivery drivers which means that the delivery cannot leave the store immediately after it finishes preparation and cooking.
[0106] Preferably, the estimated store dispatch time will be calculated in real time. As mentioned above, the estimated store dispatch time will typically be based on data collected from the store to which the order is sent to be filled. The particular store statistics will preferably be provided to the central server processing system in real time in order to allow calculation of the estimated lead time. The central server processing system will typically interact with the food preparation store management software as information relating to preparation and cooking times will typically be available from the food preparation location or store management software which is generally designed to track these types of statistics. The calculation of the estimated store dispatch time may also account for the availability of delivery drivers. Normally a store will maintain data in relation to the period between receipt of an order and the time a driver is assigned a deliver to leave that store. This will normally be an average and will normally be accounted for calculation of the estimated store dispatch time. This period will typically change in real-time and preferably the real-time average will be used in the calculation.
[0107] As a part of the electronic order, the customer will usually be asked to provide information about the food preparation store from which the delivery is to occur. This information may be populated into the electronic order based on previous orders or alternatively, the customer may be prompted to select a particular store from those used previously, or those in a particular geographic location such as those closest to the real-time location of the personal computing device from which the electronic order is placed or closest to the customer’s home address or work address for example. Still further, the customer may be able to enter an address but where this occurs, the address will typically be required to be entered in a specific field and/or form in order to allow the central server processing system of the present invention to electronically recognise the address from the information entered into the one or more interfaces
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PCT/AU2017/050601 generated in displayed on the personal computing device during the creation of the electronic order.
[0108] The customer personal computing device from which the electronic order is placed operates compliant software and submission of the electronic order triggers calculation of an estimated delivery time including a calculation of estimated store dispatch time and the estimated drive time based on a comparison of the delivery location with the meal preparation store location with input from the transit data provider, and transmits the estimated delivery time to the customer via a customer personal computing device operating the compliant software.
[0109] The compliant software will typically include or interact with ordering software and in one preferred embodiment, is based on an online ordering system. The compliant software will typically generate and display one or more interfaces which will not only guide the customer through the ordering process, but will also ensure that information is provided allowing electronic extraction from the electronic order for use by the central server processing system.
[0110] The one or more generated and displayed interfaces will typically require information to be entered in a specific field and/or form and/or allow the customer to make selections in order to create an electronic order.
[0111] In particular, the central server processing system will preferably prompt the customer to indicate whether the ordered goods are required as soon as possible (ASAP order) or at a particular time (timed order) in order to categorise the electronic order. Typically, an ASAP order is to be prepared, cooked and delivered as soon as possible and a timed order is one to be arrive at the delivery location as close as possible to the time designated by the customer. This selection may be as simple as the provision of an action button for each option allowing selection as required by the customer.
[0112] The central server processing system will typically switch the categorisation of a timed order to an ASAP order based on a comparison of the estimated delivery time (including all calculated components) with the time designated by the customer. Normally, a timed order will be held until a point in time is reached prior to the time designated by the customer, which is equal to the estimated delivery time.
[0113] Under normal circumstances, the central server processing system will calculate a real-time estimated delivery time (including all calculated components) and subtract this time from the time designated by the customer to establish an “order initiate time”, that is, the time at which the store should begin preparing the order to account for the estimated delivery time so
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PCT/AU2017/050601 that the order is delivered as close as possible to the delivery time designated by the customer.
Once the order has been converted to an ASAP order, the meal preparation store will typically process the order according to the normal procedure for preparation and cooking within the store.
[0114] An example of the operation of the system of the present invention is illustrated in the example interfaces shown in Figures 3 to 6. An example of a home interface is illustrated in Figure 3. This interface has a large “order online” action button 18 allowing a customer to place an electronic order. This home interface also has a field 19 which allows a customer to find the nearest store.
[0115] Once a customer selects the water online but 18, the system of the present invention then generates and displays a delivery details interface such as that illustrated in Figure 4. In this example interface, the customer is prompted to enter details to identify them, provide contact details such as a telephone number and email and importantly, enter delivery address details. It is also possible in this interface to use stored details which will normally be available pursuant to the customer logging into the system rather than entering into guest.
[0116] Once the customer has entered the salient details in the particular fields and in the particular form required by the example interface, the user can then select the next button 20 which will then cause the system of the present invention to generate and display an order time interface such as that illustrated in Figure 5. This interface allows the customer to designate their order as an ASAP order using selection 21 (which is automatically selected) or allow the user to designate a particular date and time to create a timed order using the entry fields 22 and 23. Once a customer has made this selection, they can then select the next button 24.
[0117] Although not illustrated, the customer will then typically proceed through the normal order process where they select their particular food and/or drink items for delivery, confirm their order and then proceed to payment. The payment portal will typically also be the order submission portal and once the payment is received, the order is submitted into the system.
[0118] Once the order is created and submitted into the system, an estimated delivery time calculation will normally take place and an interface such as that illustrated in Figure 6 will be generated and displayed on the tablet 12, smartphone 13 or computer 14 of the customer. This interface illustrates that the estimated delivery time 25 for the particular order is 1:39 PM. This estimated delivery time has been calculated according to the system of the present invention in order to be as accurate as possible due to the real-time nature of the calculation and the fact that the real time calculation is based on real-time and accurate data in relation to store dispatch time
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PCT/AU2017/050601 and estimated drive time. Also shown in the interface is a live pizza tracker bar 26 which provides real-time status updates to the customer of the progress of their order.
[0119] In the present specification and claims (if any), the word ‘comprising’ and its derivatives including ‘comprises’ and ‘comprise’ include each of the stated integers but does not exclude the inclusion of one or more further integers.
[0120] Reference throughout this specification to ‘one embodiment’ or ‘an embodiment’ means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearance of the phrases ‘in one embodiment’ or ‘in an embodiment’ in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more combinations.
[0121] In compliance with the statute, the invention has been described in language more or less specific to structural or methodical features. It is to be understood that the invention is not limited to specific features shown or described since the means herein described comprises preferred forms of putting the invention into effect. The invention is, therefore, claimed in any of its forms or modifications within the proper scope of the appended claims (if any) appropriately interpreted by those skilled in the art.

Claims (27)

1. A system for estimating the arrival time of a delivery at a delivery location calculated based on the real time locations of the respective parties, the system including
a) a central server processing system to receive location data defining a delivery location of a customer, the location data obtained from an electronic order for one or more ordered goods to be delivered to the delivery location from a meal preparation store at a store location,
b) a customer personal computing device operating compliant software for sending information to the central server processing system in relation to the electronic order, the central server processing system having access to a transit data provider to obtain real time information relating to transit times between at least two locations, wherein submission of the electronic order by a customer via the customer personal computing device operating compliant software triggers calculation of an estimated delivery time based on at least an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider, and provision of the estimated delivery time to the customer via the customer personal computing device.
2. A system as claimed in claim 1 wherein the central server computing system transmits the estimated delivery time to the customer via a customer personal computing device operating the compliant software.
3. A system as claimed in claim 1 or claim 2 wherein the delivery location of a customer is ascertained utilising a real time location of the customer personal computing device operating the compliant software used to order the ordered goods or is extracted from the information provided by a customer during creation of their electronic order.
4. A system as claimed in any one of the preceding claims wherein the estimated delivery time further includes an allowance of time for a delivery person to walk between a store and a vehicle prior leaving on the delivery and from the vehicle to the customer’s door at the delivery location.
5. A system as claimed in any one of the preceding claims wherein the electronic order is submitted as an order placed for delivery as soon as possible, the central server processing system calculates an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider and use at least these
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PCT/AU2017/050601 two calculated parameters to establish an estimated delivery time which is then communicated to the customer.
6. A system as claimed in any one of claims 1 to 5 wherein if the electronic order is submitted as an order to arrive at a delivery location at a time designated by the customer, the central server processing system calculates an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider and use at least these two calculated parameters to establish an estimated delivery time used as a basis for calculating when processing of the order should commence at the store.
7. A system as claimed in claim 6 wherein once the estimated delivery time has been calculated, the central server processing system can work backwards to calculate an order initiate time when the store should begin preparing the order to account for the estimated store dispatch time and the estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider so that the order is delivered as close as possible to the delivery time designated by the customer.
8. A system as claimed in any one of the preceding claims wherein the estimated store dispatch time and the estimated drive time are monitored in real time and compared to any timed orders to account for any changes in the estimated delivery time taking into account the changing nature of the two calculated times as a result of changes to the meal preparation store operating conditions.
9. A central server processing system to receive location data defining a delivery location of a customer, the location data obtained from an electronic order for one or more ordered goods to be delivered to the delivery location from a meal preparation store at a store location, the electronic order placed by a customer via a customer personal computing device operating compliant software for sending information to the central server processing system, the central server processing system having access to a transit data provider to obtain real time information relating to transit times between at least two locations, wherein submission of the electronic order by a customer via the customer personal computing device operating compliant software triggers calculation of an estimated delivery time based on at least an estimated store dispatch time calculated from the meal preparation store and an estimated drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider, and provision of the estimated delivery time to the customer via the customer personal computing device.
10. A system as claimed in any one of the preceding claims wherein the central server
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PCT/AU2017/050601 processing system receives an electronic order which is produced and submitted by a customer, using a personal computing device operating compliant software in order to create and submit an order for goods, normally one or more food items, to the central server processing system.
11. A system as claimed in claim 10 wherein the central server processing system analyses the electronic order for location information within the electronic order or supplied with the electronic order to ascertain the delivery location.
12. A system as claimed in claim 11 wherein the central server processing system uses the delivery location to calculate an estimated transit time, in combination with information obtained from a traffic or map data provider.
13. A system as claimed in any one of the preceding claims wherein the central server processing system utilises information from or integrates with an online ordering system such that the information provided in the electronic order is entered in the same manner in the electronic order making recognition of the information contained in the electronic order or transmitted with the electronic order simpler for the central server processing system.
14. A system as claimed in any one of the preceding claims wherein the central server processing system electronically compares information from the electronic order to one or more qualifying criteria and if the central server processing system finds that the order satisfies the one or more qualifying criteria, then an offer interface is produced and generated on the personal computing device of the customer offering a delivery time guarantee with rewards flowing to the customer if the delivery does not reach them by the estimated delivery time and if the central server processing system finds that the electronic order does not satisfy the required one or more qualifying criteria then no offer interface is produced and generated
15. A system as claimed in any one of the preceding claims wherein the personal computing device that a customer uses to place the electronic order includes at least one location receiver to obtain location data indicative of a location of the personal computing device in real time and the compliant software application operating on the personal computing device includes the location data in or with the electronic order.
16. A system as claimed in claim 15 wherein the at least one location receiver interacts with a location network to determine the real time location of the location receiver and thereby, determine the location of the personal computing device.
17. A system as claimed in any one of the preceding claims wherein, the software application operates on the personal computing device according to instructions stored in the memory of the personal computing device and put into effect using the processor and controlled by
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PCT/AU2017/050601 interaction with the user via one or more interfaces generated and displayed on the display and/or other input apparatus provided with the personal computer device in order to interact with the system as required.
18. A system as claimed in any one of the preceding claims wherein a customer can use delivery location data which may not be the current location of the customer but instead, be the delivery location at which the customer wishes the delivery to occur and provide details of the delivery location in the electronic order.
19. A system as claimed in any one of the preceding claims wherein the estimated store dispatch time or the estimated drive time are recalculated at any time.
20. A system as claimed in any one of the preceding claims wherein the system recalculates the estimated drive time or estimated delivery time and compares with an originally calculated estimated drive time or estimated delivery time and if a significant difference is present, the system updates the estimated delivery time provided to the customer and forwards a new estimated delivery time to the customer through the software operating on the customer personal computing device.
21. A system as claimed in any one of the preceding claims wherein the central server processing system prompts the customer to indicate whether the ordered goods are required as soon as possible or at a particular time in order to categorise the electronic order.
22. A system as claimed in claim 21 wherein the central server processing system switches the categorisation of an order to be delivered at a particular time to an order in which the ordered goods are required as soon as possible, based on a comparison of the estimated delivery time with the particular time designated by the customer.
23. A system as claimed in claim 22 wherein the central server processing system, holds an order to be delivered at a particular time until a point in time is reached prior to the particular time designated by the customer, which is equal to the estimated delivery time.
24. A customer personal computing device operating compliant software for sending information to a central server processing system in relation to an electronic order, the central server processing system to location data defining a delivery location of a customer, the location data obtained from an electronic order for one or more ordered goods to be delivered to the delivery location from a meal preparation store at a store location, the central server processing system having access to a transit data provider to obtain real time information relating to transit times between at least two locations, wherein submission of the electronic order by a customer via the customer personal computing device operating compliant software triggers calculation of an estimated delivery time based on at least an estimated store dispatch time calculated from the meal preparation store and an estimated
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PCT/AU2017/050601 drive time calculated from a comparison of the delivery location with the meal preparation location with input from the transit data provider, and provision of the estimated delivery time to the customer via the customer personal computing device.
25. A customer personal computing device as claimed in claim 24 wherein submission of the electronic order triggers calculation of an estimated delivery time including a calculation of estimated store dispatch time and the estimated drive time based on a comparison of the delivery location with the meal preparation store location with input from the transit data provider, and transmits the estimated delivery time to the customer via a customer personal computing device operating the compliant software.
26. A customer personal computing device as claimed in claim 24 or claim 25 wherein the compliant software generates and displays one or more interfaces which guide the customer through the ordering process, and also ensure that information is provided allowing electronic extraction from the electronic order for use by the central server processing system.
27. A customer personal computing device as claimed in claim 26 wherein the one or more generated and displayed interfaces require information to be entered in a specific field and/or form and/or allow the customer to make selections in order to create an electronic order.
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Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001297252A (en) * 2000-04-14 2001-10-26 Nec Corp Ordered article delivery system
JP2003030550A (en) * 2001-07-12 2003-01-31 Linkage:Kk Order receiving system and order receiving program
JP4399288B2 (en) * 2004-02-10 2010-01-13 三菱電機インフォメーションシステムズ株式会社 Delivery management system and delivery management program
US7505929B2 (en) 2004-06-01 2009-03-17 Angert Charles D Method, system and computer product for auction of deliverable prepared food via the internet
KR20070105401A (en) * 2006-04-26 2007-10-31 윤승준 Alarm system for delivery service
JP2008030951A (en) * 2006-07-03 2008-02-14 Askul Corp Cargo delivery time predicting system
JP2009053825A (en) * 2007-08-24 2009-03-12 Hitachi Software Eng Co Ltd Order processing system and order processing program
CN101626506B (en) 2008-07-10 2011-06-01 华为技术有限公司 Method, device and system for evaluating quality of video code stream
GB201215193D0 (en) * 2012-08-25 2012-10-10 Dalp Daniel Order delivery system
US9292889B2 (en) * 2013-06-18 2016-03-22 Zume Pizza, Inc. Systems and methods of preparing food products
US20150019354A1 (en) * 2013-07-12 2015-01-15 Elwha Llc Automated cooking system that accepts remote orders

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WO2017214677A1 (en) 2017-12-21

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