WO2022029475A1

WO2022029475A1 - System and method to place an order for food or beverages at a pre-defined location

Info

Publication number: WO2022029475A1
Application number: PCT/IB2020/058602
Authority: WO
Inventors: Asif Sabir Lokhandwala
Original assignee: Asif Sabir Lokhandwala
Priority date: 2020-08-04
Filing date: 2020-09-16
Publication date: 2022-02-10

Abstract

A system to place an order for food or beverages at a pre-defined location is provided. The system also includes an order placement subsystem which receives an order input from a customer upon scanning a unique identification code associated with one or more entities via a scanning device. The system also includes a historic data retrieval subsystem which retrieves historic data from a customer device. Further, the system also includes a customer behavior analysis subsystem which analyzes customer behavior upon a comparison of the historic data with the order input received by the order placement subsystem using artificial intelligence-based technique. The system also includes an order recommendation generation subsystem which generates multiple recommendations for the customer based on analysis of the customer behavior by the customer behavior analysis subsystem.

Description

SYSTEM AND METHOD TO PLACE AN ORDER FOR FOOD OR

BEVERAGES AT A PRE-DEFINED LOCATION

This International Application claims priority from a Complete patent application filed in India having Patent Application No. 202021033378, filed on August 04, 2020, and titled “SYSTEM AND METHOD TO PLACE AN ORDER FOR FOOD OR BEVERAGES AT A PRE-DEFINED LOCATION”.

FIELD OF INVENTION

Embodiments of a present invention relate to order placement for food or beverages, and more particularly, to a system and method to place an order for the food or beverages at a pre-defined location.

BACKGROUND

In a conventional approach, when people visit a hotel, a restaurant, or the like, place an order for food or beverages at the counter where the manager receives the order. In such a case, the manager provides a bill and a token, wherein when the token is displayed at a kitchen counter, where the food or beverages is been served. People can also place the order from the table where the food or beverages is been served through the waiter. Further, in such a case, the waiter takes the order from the customer and get a bill and a token generated for the same from the counter and then serves the order to the customer. Later, the customer pays for the bill generated by the waiter at the counter or to the waiter. Such an approach is time-consuming and tiring for the customer if there is a rush in the corresponding hotel in both the cases as the customer may have to stand in a queue at the counter or wait at the table for the waiter to get the order. There are multiple approaches being implemented to address such issues.

One such approach includes a method of using a centralized platform to place an order at the hotel or the restaurant upon scanning a unique identification code associated with the table where food or beverages is served or to the counter. In such approach, a drawback of waiting in a queue at the counter or waiting for the waiter at the table is been addressed partially as the customer still have to wait for other customers to vacate the table in cases when the customer who has already occupied the table may not be quick at choosing from the menu. Thus, making the approach less efficient, less reliable, and time-consuming.

Hence, there is a need for an improved system and method to place an order for food or beverages at a pre-defined location which addresses the aforementioned issues.

BRIEF DESCRIPTION

In accordance with one embodiment of the disclosure, a system to place an order for food or beverages at a pre-defined location is provided. The system includes one or more processors. The system also includes an order placement subsystem operable by the one or more processors. The order placement subsystem is configured to receive an order input from a customer upon scanning a unique identification code associated with one or more entities via a scanning device. The system also includes a historic data retrieval subsystem operable by the one or more processors. The historic data retrieval subsystem is configured to retrieve historic data from a customer device, wherein the historic data is representative of one of a lifestyle of the customer, food and beverage habits of the customer, daily routine of the customer, health factors of the customer, medical conditions of the customer, spending ability of the customer, or a combination thereof. Further, the system also includes a customer behavior analysis subsystem operable by the one or more processors. The customer behavior analysis subsystem is configured to analyze customer behavior upon a comparison of the historic data associated to the customer with the order input received by the order placement subsystem using an artificial intelligence -based technique. The system also includes an order recommendation generation subsystem operable by the one or more processors. The order recommendation generation subsystem is configured to generate a plurality of recommendations for the customer based on analysis of the customer behavior by the customer behavior analysis subsystem.

In accordance with another embodiment, a method for placing an order for food or beverages at a pre-defined location is provided. The method includes receiving an order input from a customer upon scanning a unique identification code associated with one or more entities via a scanning device. The method also includes retrieving historic data from a customer device, wherein the historic data is representative of one of a lifestyle of the customer, food and beverage habits of the customer, daily routine of the customer, health factors of the customer, medical conditions of the customer, spending ability of the customer, or a combination thereof. Further, the method also includes analyzing customer behavior upon a comparison of the historic data associated to the customer with the order input received by the order placement subsystem using an artificial intelligence-based technique. The method also includes generating a plurality of recommendations for the customer based on analysis of the customer behavior by the customer behavior analysis subsystem.

To further clarify the advantages and features of the present disclosure, a more particular description of the disclosure will follow by reference to specific embodiments thereof, which are illustrated in the appended figures. It is to be appreciated that these figures depict only typical embodiments of the disclosure and are therefore not to be considered limiting in scope. The disclosure will be described and explained with additional specificity and detail with the appended figures.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure will be described and explained with additional specificity and detail with the accompanying figures in which:

FIG. 1 is a block diagram representation of a system to place an order for food or beverages at a pre-defined location in accordance with an embodiment of the present disclosure;

FIG. 2 is a block diagram representation of an exemplary embodiment of the system to place the order for the food or the beverages at the pre-defined location of FIG. 1 in accordance with an embodiment of the present disclosure;

FIG. 3 is a block diagram of an order placement computer or an order placement server in accordance with an embodiment of the present disclosure; and

FIG. 4 is a flow chart representing steps involved in a method for placing an order for food or beverages at a pre-defined location in accordance with an embodiment of the present disclosure. Further, those skilled in the art will appreciate that elements in the figures are illustrated for simplicity and may not have necessarily been drawn to scale. Furthermore, in terms of the construction of the device, one or more components of the device may have been represented in the figures by conventional symbols, and the figures may show only those specific details that are pertinent to understanding the embodiments of the present disclosure so as not to obscure the figures with details that will be readily apparent to those skilled in the art having the benefit of the description herein.

DETAILED DESCRIPTION

For the purpose of promoting an understanding of the principles of the disclosure, reference will now be made to the embodiment illustrated in the figures and specific language will be used to describe them. It will nevertheless be understood that no limitation of the scope of the disclosure is thereby intended. Such alterations and further modifications in the illustrated system, and such further applications of the principles of the disclosure as would normally occur to those skilled in the art are to be construed as being within the scope of the present disclosure.

The terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process or method that comprises a list of steps does not include only those steps but may include other steps not expressly listed or inherent to such a process or method. Similarly, one or more devices or sub-systems or elements or structures or components preceded by "comprises... a" does not, without more constraints, preclude the existence of other devices, sub-systems, elements, structures, components, additional devices, additional sub-systems, additional elements, additional structures or additional components. Appearances of the phrase "in an embodiment", "in another embodiment" and similar language throughout this specification may, but not necessarily do, all refer to the same embodiment.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. The system, methods, and examples provided herein are only illustrative and not intended to be limiting. In the following specification and the claims, reference will be made to a number of terms, which shall be defined to have the following meanings. The singular forms “a”, “an”, and “the” include plural references unless the context clearly dictates otherwise.

Embodiments of the present disclosure relate to a system to place an order for food or beverages at a pre-defined location. The system includes one or more processors. The system also includes an order placement subsystem operable by the one or more processors. The order placement subsystem is configured to receive an order input from a customer upon scanning a unique identification code associated with one or more entities via a scanning device. The system also includes a historic data retrieval subsystem operable by the one or more processors. The historic data retrieval subsystem is configured to retrieve historic data from a customer device, wherein the historic data is representative of one of a lifestyle of the customer, food and beverage habits of the customer, daily routine of the customer, health factors of the customer, medical conditions of the customer, spending ability of the customer, or a combination thereof. Further, the system also includes a customer behavior analysis subsystem operable by the one or more processors. The customer behavior analysis subsystem is configured to analyze customer behavior upon a comparison of the historic data associated to the customer with the order input received by the order placement subsystem using an artificial intelligence-based technique. The system also includes an order recommendation generation subsystem operable by the one or more processors. The order recommendation generation subsystem is configured to generate a plurality of recommendations for the customer based on analysis of the customer behavior by the customer behavior analysis subsystem.

FIG. 1 is a block diagram representation of a system (10) to place an order for food or beverages at a pre-defined location in accordance with an embodiment of the present disclosure. In one embodiment, the order can be placed for the food, the beverages, or a combination thereof. In one embodiment, the pre-defined location includes a restaurant, a hotel, an aircraft, a cruise ship, a train, one or more mobile food or beverage trucks, and the like. The system (10) includes one or more processors (20). The system (10) also includes an order placement subsystem (30) operable by the one or more processors (20). The order placement subsystem (30) receives an order input from a customer upon scanning a unique identification code associated with one or more entities via a scanning device (40). In one embodiment, the order placement subsystem (30) receives the order input from the customer to enable the customer to place the order for the food or the beverages at the pre-defined location. In one exemplary embodiment, the order placement subsystem (30) receives the order input from the customer upon entry of the corresponding order input on the centralized platform by an owner of the pre-defined location via an owner interface. In such embodiment, the owner interface includes a representation of the one or more entities in a grid form for the owner to select one of the one or more entities for the customer before receiving the order input from the customer.

In one exemplary embodiment, the system (10) includes a registration subsystem (as shown in FIG. 2) operable by the one or more processors (20). In such embodiment, the registration subsystem is operatively coupled to the order placement subsystem (30). The registration subsystem registers the customer on a centralized platform upon receiving multiple customer details when the customer scans the unique identification code associated with the one or more entities via the scanning device (40). The centralized platform may be associated to the system (10). The registration subsystem creates a customer account upon registration. In such embodiment, the multiple customer details include a customer name, a customer contact number, a customer email ID, and the like. In one embodiment, the multiple customer details are stored in a database (as shown in FIG. 2) operatively coupled to the one or more processors (20). In such embodiment, the database includes a cloud database or a local database.

Further, the registration subsystem also registers the owner of the pre-defined location on the centralized platform upon receiving multiple owner details via an owner device. The registration subsystem creates an owner account upon registration. In such embodiment, the multiple owner details include an owner name, an owner contact number, an owner email ID, address of the pre-defined location, and the like. In one embodiment, the multiple owner details are stored in the database. In one exemplary embodiment, the owner device includes a mobile phone, a laptop, a tablet, or the like. In one embodiment, the system (10) generates an admin login ID and admin password and shares the corresponding admin login ID and the admin password with the owner via communication means for the owner to log in on the centralized platform upon registration. In such embodiment, the communication means includes an email, a text message, or the like. In one embodiment, the registration subsystem also enables the owner to create one or more staff logins for staff at the pre-defined location to log in on the centralized platform. In such embodiment, the registration subsystem registers the staff on the centralized platform upon receiving multiple staff details corresponding to the one or more staff logins via a staff device. The registration subsystem creates a staff account upon registration. In one embodiment, the staff includes one or more chefs, one or more waiters, a receptionist, housekeeping staff, and the like. In one exemplary embodiment, the staff device includes a mobile phone, a tablet, a laptop, and the like. In one embodiment, the registration subsystem can freeze the owner account and the staff account.

In one embodiment, the registration subsystem also enables the owner to configure data being displayed on a staff interface, the owner interface, and a customer interface of the centralized platform. In one embodiment, the staff interface, the owner interface, and the customer interface are configured as a live session interface, wherein any change in at least one of the staff interface, the owner interface, and the customer interface, the corresponding change gets updated on each of the staff interface, the owner interface, and the customer interface. In such embodiment, the live session interface includes a feature of keeping the staff, the owner, or the customer logged in to the centralized platform till the corresponding staff, the owner, or the customer manually log out from the centralized platform. The live session interface also provides a feature of auto-refreshing the centralized platform. In one exemplary embodiment, when a first login session of the customer expires after a pre-defined period, and the customer has still not made a payment of the order in the corresponding first login session and initiates a second login session, then the order placement subsystem (30) generates a session related notification to the owner and the staff. In such embodiment, the session related notification is representative of a query related to putting multiple details related to a new order in the first login session or the second login session of the customer.

Further, the registration subsystem also enables the owner to register the pre-defined location on the centralized platform. In such embodiment, the registration subsystem registers the pre-defined location on the centralized platform upon receiving multiple pre-defined location details from the owner. In one embodiment, the multiple pre- defined location details include a pre-defined location name, a pre-defined location address, a count of the one or more entities associated to the pre-defined location, an identity associated to each of the one or more entities, and the like.

In one embodiment, the system (10) also includes a menu generation subsystem (as shown in FIG. 2) operable by the one or more processors (20). In such embodiment, the menu generation subsystem is operatively coupled to the registration subsystem. The menu generation subsystem enables the owner of the pre-defined location to create one or more menus based on the food or the beverages being served at the predefined location upon registration via the owner interface of the centralized platform. In one embodiment, the menu generation subsystem generates the one or more menus based on an inventory of the food or the beverages being served at the pre-defined location. In such embodiment, multiple inventory details associated to the inventory are stored in the database by the owner of the pre-defined location. In one embodiment, the multiple inventory details include a quantity of each of multiple ingredients used to prepare the one or more menu items, a quantity of each of multiple ingredients available, a quantity of the one or more menu items available, and the like. In one embodiment, the one or more menus are stored in the database.

Further, in one embodiment, the system (10) also includes a unique identification code generation subsystem (as shown in FIG. 2) operable by the one or more processors (20). In such embodiment, the unique identification code generation subsystem is operatively coupled to the menu generation subsystem. The unique identification code generation subsystem generates the unique identification code representative of one of the one or more menus generated and the identity of at least one of the one or more entities, the multiple staff details of at least one of the staff, or a combination thereof. In one exemplary embodiment, the unique identification code generation subsystem also enables the owner of the pre-defined location to customize the unique identification code to be generated. In one embodiment, the order input includes a selection of at least one of one or more menu items by the customer from the one or more menus. In another embodiment, the order input includes entry of one or more keywords in a search menu bar displayed on the customer interface of the centralized platform. In such embodiment, the one or more keywords are related to the food or the beverages for which the customer is supposed to place the order at the pre-defined location.

In one exemplary embodiment, the unique identification code includes a Quick Response (QR) code, a Near Field Communication (NFC) tag, or the like. In one embodiment, the one or more entities include one or more tables, one or more chairs, one or more rooms, or the like associated to the pre-defined location. Further, in one embodiment, the scanning device (40) includes a customer device belonging to the customer or an owner scanning device belonging to the owner of the pre-defined location. In one embodiment, the customer device includes a mobile phone with an inbuilt scanner. In one embodiment, the owner scanning device includes a mobile phone with an inbuilt scanner, a scanner, or the like. In one exemplary embodiment, the order placement subsystem (30) enables the customer to scan the unique identification code via a hyperlink on the customer interface of the centralized platform.

The system (10) also includes a historic data retrieval subsystem (50) operable by the one or more processors (20). The historic data retrieval subsystem (50) is operatively coupled to the order placement subsystem (30). The historic data retrieval subsystem (50) retrieves historic data from the customer device. The historic data is representative of one of a lifestyle of the customer, food and beverage habits of the customer, a daily routine of the customer, health factors of the customer, medical conditions of the customer, spending ability of the customer, or a combination thereof. In one embodiment, the food or the beverage habits of the customer may include a type of the food or a type of the beverages being consumed by the customer on a day in a week. In such embodiment, the type of the food includes vegetarian food or nonvegetarian food and the type of beverages includes an alcoholic beverage or a nonalcoholic beverage. In one embodiment, the historic data retrieval subsystem (50) retrieves the historic data from the customer device, when the scanning device (40) used by the customer is the customer device. In another embodiment, the historic data retrieval subsystem (50) retrieves the historic data from the database, when the scanning device (40) used by the customer is the owner scanning device (40) and the corresponding customer is registered on the centralized platform via the registration subsystem. In such embodiment, the historic data of the customer is updated in the database over a pre-defined time period based on one of one or more choices of the customer in terms of the one or more menu items, one or more festivals, one or more occasions, and the like, or a combination thereof.

Further, the system (10) also includes a customer behavior analysis subsystem (60) operable by the one or more processors (20). The customer behavior analysis subsystem (60) is operatively coupled to the historic data retrieval subsystem (50). The customer behavior analysis subsystem (60) analyzes customer behavior upon a comparison of the historic data associated to the customer with the order input received by the order placement subsystem (30) using artificial intelligence (Al)-based technique. The system (10) also includes an order recommendation generation subsystem (70) operable by the one or more processors (20). The order recommendation generation subsystem (70) is operatively coupled to the customer behavior analysis subsystem (60). The order recommendation generation subsystem (70) generates multiple recommendations for the customer based on analysis of the customer behavior by the customer behavior analysis subsystem (60). In one embodiment, the multiple recommendations include a recommendation in terms of previously placed orders, a suggestion based on one of the health factors of the customer, the medical conditions of the customer, the spending ability of the customer and the like, or a combination thereof.

In one exemplary embodiment, the order placement subsystem (30) includes a bill generation module (as shown in FIG. 2) operable by the one or more processors (20). The bill generation module generates one or more bills for the customer based on a cost corresponding to the order input received via the order placement subsystem (30). The one or more bills generated may be sent to the customer via the communication means or printed via one or more printers. In one embodiment, the one or more bills generated may also include one or more complementary bills. In one exemplary embodiment, the bill generation module also generates the one or more kitchen bills to be displayed at a kitchen counter of the pre-defined location. The one or more kitchen bills includes the one or more menu items selected by the customer. In one embodiment, the bill generation module also generates one or more split bills, wherein a main bill is split between one or more customers as the one or more split bills upon receiving a split bill request from the customer via the centralized platform. In one embodiment, the bill generation module also enables the owner of the pre-defined location to customize a bill format of the one or more bills to be generated.

Further, in one embodiment, the order placement subsystem (30) also includes a payment module (as shown in FIG. 2) operable by the one or more processors (20). In such embodiment, the payment module is operatively coupled to the bill generation module. The payment module receives a payment corresponding to the cost appearing in the one or more bills generated for each of the order input from the customer via at least one of one or more payment modes. In such embodiment, the one or more payment modes include payment via cash, a card swiping, net banking, online transaction via the card, Paytm, PayPal, (Unified Payment Interface) UPI, or the like. In one embodiment, the payment is received by a centralized platform owner, when the payment is made by the customer using the net banking, online transaction via the card, Paytm, PayPal, UPI, or the like. In such embodiment, the payment received by the centralized platform owner is split and a share of the owner of the pre-define location is been transferred to the corresponding owner via the payment module. In another embodiment, the payment is received by the owner of the pre-defined location, when the payment is made by the customer using the cash or the card swiping. In such embodiment, the payment received by the owner is split and a share of the centralized platform owner is been transferred to the corresponding centralized platform owner via the payment module. In one exemplary embodiment, the order placement subsystem (30) enables the owner to shift the order been placed between the one or more entities upon receiving a shift order request from the customer via the communication means.

In one embodiment, the order placement subsystem (30) also includes a rebate generation module (as shown in FIG. 2) operable by the one or more processors (20). In such embodiment, the rebate generation module is operatively coupled to the payment module. The rebate generation module generates one or more rebates for the customer based on the payment received via the payment module. In one exemplary embodiment, the order placement subsystem (30) also includes a discount generation module (as shown in FIG. 2) operable by the one or more processors (20). The discount generation module is operatively coupled to the payment module. The discount generation module generates one or more discount codes corresponding to one or more discount percentages based on the one or more festivals, the one or more occasions, an owner’s choice, based on the spending ability of the customer, and the like. In such embodiment, the one or more discount codes are displayed on the customer interface upon registration for the customer to choose or the owner applies at least one of the one or more discount codes to the one or more bills generated for each of the order input from the customer to avail the corresponding one or more discount codes.

In one exemplary embodiment, the system (10) also includes a donation request generation subsystem (as shown in FIG. 2) operable by the one or more processors (20). In such embodiment, the donation request generation subsystem is operatively coupled to the payment module. The donation request generation subsystem generates a request of donation of a minimum pre-defined donation amount or more for the customer upon receiving the payment corresponding to the order input from the customer via the payment module. In such embodiment, the payment module receives a payment of the minimum pre-defined donation amount or more from the customer, when the customer accepts the corresponding request generated by the donation request generation subsystem.

Further, in one embodiment, the system (10) also includes a report generation subsystem (as shown in FIG. 2) operable by the one or more processors (20). In such embodiment, the report generation subsystem is operatively coupled to the order placement subsystem (30). The report generation subsystem generates a summary report including one or more parameters representative of a performance of the predefined location. The summary report generated may include the one or more parameters in a form of one or more tabular columns, one or more graphs, or the like. In such embodiment, the one or more parameters include one or more revenue metrics, one or more expense metrics, one or more customer-related metrics, a customer satisfaction metric, profitability, and the like of the corresponding pre-defined location. In one embodiment, the one or more revenue metrics include a food revenue, a beverage revenue, a drink revenue, a miscellaneous revenue, a total revenue, and the like. In one embodiment, the one or more expense metrics include a food expense, a beverage expense, a drink revenue, a miscellaneous expense, a labor expense, and the like. Further, in one embodiment, the one or more customer-related metrics include a count of multiple covers, an average per cover (APC) value, and the like. Further, as used herein, the term “customer satisfaction metric” is defined as an average rating of the pre-defined location which is obtained by taking an average of multiple ratings received from multiple customers for each of multiple departments within the predefined location. In such embodiment, the multiple departments include a food department, a beverage department, a service department, and the like. Furthermore, As used herein, the term “profitability” is defined as the ability of a business to earn a profit. A profit is what is left of the revenue a business generates after it pays all expenses directly related to the generation of the revenue, such as producing a product, and other expenses related to the conduct of the business activities.

FIG. 2 is a block diagram representation of an exemplary embodiment of the system (10) to place the order for the food or the beverages at the pre-defined location of FIG. 1 in accordance with an embodiment of the present disclosure. A customer (80) visits a hotel (90) and books a room (100) to stay for a year. The hotel (90) is substantially similar to the pre-defined location of FIG. 1. The hotel (90) includes four restaurants. An owner (110) of the hotel (90) uses the centralized platform to receive the order for the food or the beverages from the customer (80). Thus, the customer (80) should also be using the centralized platform to place the order at the hotel (90). The system (10) includes the registration subsystem (120) operable by the one or more processors (20). The registration subsystem (120) registers the owner (110) on the centralized platform upon receiving the multiple owner details via an owner device (130), thereby making the owner (110) an admin. The multiple owner details are stored in the database (140) of the system (10). The database (140) is operatively coupled to the one or more processors (20). The registration subsystem (120) enables the owner (110) to register the hotel (90) on the centralized platform and create the one or more staff logins for the staff (150) at the hotel (90) to login on the centralized platform via the staff device (160).

Further, the system (10) includes the menu generation subsystem (170) operable by the one or more processors (20). The menu generation subsystem (170) is operatively coupled to the registration subsystem (120). The menu generation subsystem (170) generates the one or more menus based on the inventory of the food or the beverages being served at each of the four restaurants of the hotel (90). Thus, there are four menus which appear on the customer interface and the customer (80) has freedom to choose the one or more menu items from any of the four menus. The system (10) also includes the unique identification code generation subsystem (180) operable by the one or more processors (20). The unique identification code generation subsystem (180) is operatively coupled to the menu generation subsystem (170). The unique identification code generation subsystem (180) generates a unique identification code (190) representative of one of the one or more menus generated and the identity of at least one of the one or more entities (200), the multiple staff details of at least one of the staff (150), or a combination thereof.

Further, the customer (80) needs to scan the unique identification code (190) placed on the one or more entities (200) including a table of the room (100), for the customer (80) to place the order for the food or the beverages from the respective room (100) every time throughout the year. The system (10) includes the order placement subsystem (30) operable by the one or more processors (20). The order placement subsystem (30) is operatively coupled to the registration subsystem (120). The order placement subsystem (30) receives the order input from the customer (80) upon scanning the unique identification code (190) associated with the table in the room (100) via the customer device (210). The registration subsystem (120) registers the customer (80) on the centralized platform upon receiving multiple customer details when the customer (80) scans the unique identification code (190) associated with the table of the room (100) via the customer device (210). Further, the system (10) also includes the historic data retrieval subsystem (50) operable by the one or more processors (20). The historic data retrieval subsystem (50) is operatively coupled to the order placement subsystem (30). The historic data retrieval subsystem (50) retrieves the historic data from the customer device (210). Further, the system (10) also includes the customer behavior analysis subsystem (60) operable by the one or more processors (20). The customer behavior analysis subsystem (60) is operatively coupled to the historic data retrieval subsystem (50). The customer behavior analysis subsystem (60) analyzes the customer behavior upon the comparison of the historic data associated to the customer (80) with the order input received by the order placement subsystem (30) using the Al-based technique. The system (10) also includes the order recommendation generation subsystem (70) operable by the one or more processors (20). The order recommendation generation subsystem (70) is operatively coupled to the customer behavior analysis subsystem (60). The order recommendation generation subsystem (70) generates the multiple recommendations for the customer (80) based on the analysis of the customer behavior by the customer behavior analysis subsystem (60). The order placement subsystem (30) includes the bill generation module (220) operable by the one or more processors (20). The bill generation module (220) generates the one or more bills for the customer (80) based on the cost corresponding to the order input received via the order placement subsystem (30). The one or more bills are received by the customer (80) via the email. The bill generation module (220) also generates the one or more kitchen bills to be displayed at the kitchen counter of the hotel (90), wherein the one or more kitchen bills include the one or more items selected by the customer (80).

Furthermore, the order placement subsystem (30) also includes the payment module (230) operable by the one or more processors (20). The payment module (230) receives the payment corresponding to the cost appearing in the one or more bills generated for each of the order input from the customer (80) via the net banking, and hence the payment is received by the centralized platform owner (235). The payment is been split and the share of the owner (110) of the hotel (90) is been transferred to the owner (110) via the payment module (230). The order placement subsystem (30) also includes the rebate generation module (240) operable by the one or more processors (20). The rebate generation module (240) generates one or more rebates for the customer (80) based on the payment received via the payment module (230). The system (10) also includes the discount generation module (245) operable by the one or more processors (20). The discount generation module (245) is operatively coupled to the payment module (230). The discount generation module (245) generates the one or more discount codes corresponding to the one or more discount percentages based on the one or more festivals, the one or more occasions, the owner’s choice, the spending ability of the customer, and the like. The system (10) also includes the donation request generation subsystem (250) operable by the one or more processors (20). The donation request generation subsystem (250) is operatively coupled to the payment module (230). The donation request generation subsystem (250) generates the request of donation of the minimum pre-defined donation amount or more for the customer (80) upon receiving the payment corresponding to the order input from the customer (80) via the payment module (230). The customer (80) accepts the request of donation and hence, the payment module (230) receives the payment of an accepted amount from the customer (80). Further, the customer (80) receives the order being served by the waiter at the room (100).

Moreover, the system (10) also includes the report generation subsystem (260) operable by the one or more processors (20). The report generation subsystem (260) is operatively coupled to the order placement subsystem (30). The report generation subsystem (260) generates the summary report including the one or more parameters representative of the performance of the hotel (90). The owner (110) refers to the summary report generated to analyze the performance of the hotel (90).

FIG. 3 is a block diagram of an order placement computer or an order placement server (270) in accordance with an embodiment of the present disclosure. The order placement server (270) includes processor(s) (280), and a memory (290) coupled to a bus (300). As used herein, the processor(s) (280) and the memory (290) are substantially similar to the system (10) of FIG. 1. Here, the memory (290) is located in a local storage device.

The processor(s) (280), as used herein, means any type of computational circuit, such as but not limited to, a microprocessor, a microcontroller, a complex instruction set computing microprocessor, a reduced instruction set computing microprocessor, a very long instruction word microprocessor, an explicitly parallel instruction computing microprocessor, a digital signal processor, or any other type of processing circuit, or a combination thereof.

Computer memory elements may include any suitable memory device(s) for storing data and executable program, such as read only memory, random access memory, erasable programmable read only memory, electrically erasable programmable read only memory, hard drive, removable media drive for handling memory cards and the like. Embodiments of the present subject matter may be implemented in conjunction with program modules, including functions, procedures, data structures, and application programs, for performing tasks, or defining abstract data types or low-level hardware contexts. Executable program stored on any of the above-mentioned storage media may be executable by the processor(s) (280). The memory (290) includes a plurality of subsystems stored in the form of executable program which instructs the processor(s) (280) to perform method steps illustrated in FIG. 3. The memory (290) has following subsystems: an order placement subsystem (30), a historic data retrieval subsystem (50), a customer behavior analysis subsystem (60), and an order recommendation generation subsystem (70).

The order placement subsystem (30) is configured to receive an order input from a customer (80) upon scanning a unique identification code (190) associated with one or more entities (200) via a scanning device (40). The historic data retrieval subsystem (50) is configured to retrieve historic data from a customer device (210), wherein the historic data is representative of one of a lifestyle of the customer (80), food or beverage habits of the customer (80), a daily routine of the customer (80), health factors of the customer (80), medical conditions of the customer (80), spending ability of the customer (80), or a combination thereof.

The customer behavior analysis subsystem (60) is configured to analyze customer behavior upon a comparison of the historic data associated to the customer (80) with the order input received by the order placement subsystem (30) using an artificial intelligence-based technique. The order recommendation generation subsystem (70) is configured to generate a plurality of recommendations for the customer (80) based on analysis of the customer behavior by the customer behavior analysis subsystem (60).

FIG. 4 is a flow chart representing steps involved in a method (310) for placing an order for food or beverages at a pre-defined location in accordance with an embodiment of the present disclosure. The method (310) includes receiving an order input from a customer upon scanning a unique identification code associated with one or more entities via a scanning device in step 320. In one embodiment, receiving the order input from the customer includes receiving the order input from the customer by an order placement subsystem. In one exemplary embodiment, receiving the order input from the customer includes selecting at least one of one or more menu items by the customer from one or more menus. In another exemplary embodiment, receiving the order input from the customer includes entering of one or more keywords in a search menu bar displayed on a customer interface of a centralized platform. In one embodiment, receiving the order input from the customer upon scanning the unique identification code associated with the one or more entities via the scanning device includes scanning the unique identification code associated with the one or more entities, wherein the one or more entities include one or more tables, one or more chairs, one or more rooms, and the like associated to the pre-defined location.

In one exemplary embodiment, the method (310) includes registering the customer on the centralized platform upon receiving multiple customer details when the customer scans the unique identification code associated with the one or more entities via the scanning device. In such embodiment, registering the customer on the centralized platform includes registering the customer on the centralized platform by a registration subsystem. Further, the method (310) also includes registering the owner of the predefined location on the centralized platform upon receiving multiple owner details via an owner device. In such embodiment, registering the owner of the pre-defined location on the centralized platform includes registering the owner of the pre-defined location on the centralized platform by the registration subsystem. Further, the method (310) also includes registering staff on the centralized platform upon receiving multiple staff details corresponding to one or more staff logins via a staff device. In such embodiment, registering the staff on the centralized platform includes registering the staff on the centralized platform by the registration subsystem. Further, the method (310) also includes enabling the owner to register the pre-defined location on the centralized platform in such embodiment, enabling the owner to register the predefined location on the centralized platform includes registering the pre-defined location on the centralized platform upon receiving multiple pre-defined location details from the owner by the registration subsystem.

In one exemplary embodiment, the method (310) includes enabling the owner of the pre-defined location to create the one or more menus based on the food or the beverages being served at the pre-defined location upon registration via an owner interface of the centralized platform. In such embodiment, enabling the owner of the pre-defined location to create the one or more menus includes enabling the owner of the pre-defined location to create the one or more menus by a menu generation subsystem (170). Further, the method (310) also includes generating the unique identification code representative of one of the one or more menus generated and identity of at least one of the one or more entities, the multiple staff details of at least one of the staff, or a combination thereof. In such embodiment, generating the unique identification code includes generating the unique identification code by the unique identification code generation subsystem.

The method (310) also includes retrieving historic data from a customer device, wherein the historic data is representative of one of a lifestyle of the customer, food or beverage habits of the customer, daily routine of the customer, health factors of the customer, medical conditions of the customer, spending ability of the customer, or a combination thereof in step 330. In one embodiment, retrieving the historic data from the customer device includes retrieving the historic data from the customer device by a historic data retrieval subsystem.

Furthermore, the method (310) includes analyzing customer behavior upon a comparison of the historic data associated to the customer with the order input received by the order placement subsystem using an artificial intelligence-based technique in step 340. In one embodiment, analyzing the customer behavior upon the comparison of the historic data associated to the customer with the order input received by the order placement subsystem includes analyzing the customer behavior upon the comparison of the historic data associated to the customer with the order input received by the order placement subsystem by a customer behavior analysis subsystem.

Furthermore, the method (310) also includes generating multiple recommendations for the customer based on analysis of the customer behavior by the customer behavior analysis subsystem in step 350. In one embodiment, generating the multiple recommendations for the customer includes generating the multiple recommendations for the customer by an order recommendation generation subsystem.

In one exemplary embodiment, the method (310) also includes generating one or more bills for the customer based on a cost corresponding to the order input received via the order placement subsystem. In such embodiment, generating the one or more bills for the customer includes generating the one or more bills for the customer by a bill generation module of the order placement subsystem. In another exemplary embodiment, the method (310) also includes generating one or more kitchen bills to be displayed at a kitchen counter of the pre-defined location. The one or more kitchen bills includes the one or more menu items selected by the customer. In yet another exemplary embodiment, the method (310) also includes generating one or more split bills, wherein a main bill is split between one or more customers as the one or more split bills upon receiving a split bill request from the customer via the centralized platform.

Further, the method (310) also includes receiving a payment corresponding to the cost appearing in the one or more bills generated for each of the order input from the customer via at least one of one or more payment modes. In such embodiment, receiving the payment corresponding to the cost appearing in the one or more bills generated for each of the order input includes receiving the payment corresponding to the order input by a payment module of the order placement subsystem. Further, the method (310) also includes generating one or more rebates for the customer based on the payment received via the payment module. In such embodiment, generating the one or more rebates for the customer includes generating the one or more rebates for the customer by the rebate generation module of the order placement subsystem. Further, the method (310) also includes generating a request of donation of a minimum pre-defined donation amount or more for the customer upon receiving the payment corresponding to the order input from the customer via the payment module. In such embodiment, generating the request of donation of the minimum pre-defined donation amount or more for the customer includes generating the request of donation of the minimum pre-defined donation amount or more for the customer by a donation request generation subsystem. The method (310) also includes generating a summary report including one or more parameters representative of a performance of the pre-defined location. In such embodiment, generating the summary report includes generating the summary report by the report generation subsystem.

Further, from a technical effect point of view, receiving of the order input operation, retrieving the historic data operation, analyzing the customer behavior operation and generating the multiple recommendations operation by the order placement subsystem, the historic data retrieval subsystem, the customer behavior analysis subsystem, and the order recommendation generation subsystem respectively of the overall system results in improving processing speed and reducing processing time taken by the one or more processors of the system. Various embodiments of the system and method to place the order for the food or the beverages at the pre-defined location enable the customer to place the order upon scanning the unique identification code associated to the one or more entities at the pre-defined location. Also, the system analysis the customer behavior based on the historic data and generates the multiple recommendations for the customer, thereby saving time of the customer while placing the order and hence making the system more efficient and more reliable. Further, quick service to the customer results in attending more customers and fulfilling more orders which in turn increases sales and revenue of the pre-defined location and thus of the Country. Also, quick service increases customer satisfaction and reduces customer waiting time.

Further, usage of the system helps the owner of the pre-defined location to cut on an expensive point of sale (POS) equipment cost, thereby reducing purchasing and maintaining cost. Also, usage of the system enables the owner to make savings on manpower cost, hiring, Mediclaim cost, and the like. Further, usage of the system promotes saving of paper as the one or more bills are mailed to the customer and the one or more bills sent are very much accurate as there is hardly any chance of bill manipulation by the staff. Further, the system is easy to use and highly customizable, thereby making the system user friendly and maintenance of complete transparency assures the customer of a genuine service being received by the customer.

Further, the system is also used to make payment for the staff by the owner, thereby maintaining complete transparency and saving time and efforts of following up for payments. Also, the customer in the room of the hotel uses the system to receive one or more services without putting much effort, thereby saving time, electricity, and operating cost of the hotel. Further, usage of the system by the hotel also leads to the smooth and efficient functioning of the hotel. Moreover, an integration of a donation option with the system helps in eradicating poverty in the world as the hundred percent donation amount goes to one or more genuine NGOs. Further, the system also calculates the one or more parameters such as, but not limited to one or more sales, amount of tax collected, gross revenue and net revenue of the pre-defined location, thereby saving time and money on manually calculating the corresponding one or more parameters and the staff. Furthermore, the system finds application in multiple other sectors such as but not limited to, room booking, location booking, or the like, thereby making the system more flexible in terms of customizing the functionality based on the application.

While specific language has been used to describe the disclosure, any limitations arising on account of the same are not intended. As would be apparent to a person skilled in the art, various working modifications may be made to the method in order to implement the inventive concept as taught herein.

The figures and the foregoing description give examples of embodiments. Those skilled in the art will appreciate that one or more of the described elements may well be combined into a single functional element. Alternatively, certain elements may be split into multiple functional elements. Elements from one embodiment may be added to another embodiment. For example, order of processes described herein may be changed and are not limited to the manner described herein. Moreover, the actions of any flow diagram need not be implemented in the order shown; nor do all of the acts need to be necessarily performed. Also, those acts that are not dependent on other acts may be performed in parallel with the other acts. The scope of embodiments is by no means limited by these specific examples.

Claims

23 I/WE CLAIM:

1. A system (10) to place an order for food or beverages at a pre-defined location, wherein the system (10) comprises: one or more processors (20); an order placement subsystem (30) operable by the one or more processors (20), wherein the order placement subsystem (30) is configured to receive an order input from a customer (80) upon scanning a unique identification code (190) associated with one or more entities (200) via a scanning device (40); a historic data retrieval subsystem (50) operable by the one or more processors (20), wherein the historic data retrieval subsystem (50) is configured to retrieve historic data from a customer device (210), wherein the historic data is representative of one of a lifestyle of the customer (80), food or beverage habits of the customer (80), a daily routine of the customer (80), health factors of the customer (80), medical conditions of the customer (80) spending ability of the customer (80), or a combination thereof; a customer behavior analysis subsystem (60) operable by the one or more processors (20), wherein the customer behavior analysis subsystem (60) is configured to analyze customer behavior upon a comparison of the historic data associated to the customer (80) with the order input received by the order placement subsystem (30) using an artificial intelligence-based technique; and an order recommendation generation subsystem (70) operable by the one or more processors (20), wherein the order recommendation generation subsystem (70) is configured to generate a plurality of recommendations for the customer (80) based on analysis of the customer behavior by the customer behavior analysis subsystem (60).

2. The system (10) as claimed in claim 1, wherein the pre-defined location comprises a restaurant, a hotel (90), an aircraft, a cruise ship, a train, and, one or more mobile food or beverage trucks.

3. The system (10) as claimed in claim 1, wherein the order input comprises a selection of at least one of one or more menu items by the customer (80) from one or more menus.

4. The system (10) as claimed in claim 1, wherein the one or more entities (200) comprise one or more tables, one or more chairs, and one or more rooms associated to the pre-defined location.

5. The system (10) as claimed in claim 1, wherein the plurality of recommendations comprises a recommendation in terms of previously placed orders, a suggestion based on one of the health factors of the customer (80), the medical conditions of the customer (80), or a combination thereof.

6. The system (10) as claimed in claim 1, wherein the order placement subsystem (30) comprises a payment module (230), wherein the payment module (230) is configured to receive a payment corresponding to the order input from the customer (80) via at least one of one or more payments modes.

7. The system (10) as claimed in claim 1, wherein the order placement subsystem (30) comprises a rebate generation module (240), wherein the rebate generation module (240) is configured to generate one or more rebates for the customer (80) based on the payment received via the payment module (230).

8. A method (310) for placing an order for food or beverages at a pre-defined location, wherein the method (310) comprises: receiving, by an order placement subsystem, an order input from a customer upon scanning a unique identification code associated with one or more entities via a scanning device; (320) retrieving, by a historic data retrieval subsystem, historic data from a customer device, wherein the historic data is representative of one of a lifestyle of the customer, food and beverage habits of the customer, a daily routine of the customer, health factors of the customer, medical conditions of the customer, spending ability of the customer, or a combination thereof; (330) analyzing, by a customer behavior analysis subsystem, customer behavior upon a comparison of the historic data associated to the customer with the order input received by the order placement subsystem using an artificial intelligence - based technique; and (340) generating, by an order recommendation generation subsystem, a plurality of recommendations for the customer based on analysis of the customer behavior by the customer behavior analysis subsystem (350).

9. The method (310) as claimed in claim 8, wherein receiving the order input from the customer comprises selecting at least one of one or more menu items by the customer from one or more menus.

10. The method (310) as claimed in claim 8, wherein scanning the unique identification code associated with the one or more entities comprises scanning the unique identification code associated with the one or more entities, wherein the one or more entities comprise one or more tables, one or more chairs, and one or more rooms associated to the pre-defined location.