Commodity sales system and commodity sales method
US-2024311900-A1 · Sep 19, 2024 · US
US9595062B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9595062-B2 |
| Application number | US-201213650652-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 12, 2012 |
| Priority date | Oct 12, 2012 |
| Publication date | Mar 14, 2017 |
| Grant date | Mar 14, 2017 |
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Techniques for optimizing a shopping agenda are disclosed. The techniques include receiving an electronic shopping list containing one or more items, each item indicating a product sold by a retailer. The techniques further include obtaining a store map, the store map being indicative of a layout of a store associated with the retailer. The techniques further include determining one or more product waypoints based on the one or more items in the electronic shopping list and the store map, each product waypoint of the one or more product waypoints corresponding to one of the one or more items and being indicative of a location of the product indicated by the item in the store. The techniques also include determining a route traveling through each of the one or more product waypoints and providing the route for display.
Opening claim text (preview).
What is claimed is: 1. A computer-implemented method comprising: receiving by a computer system comprising a communication device including one or more wireless transceivers for performing wireless communication, an electronic shopping list containing a plurality of items intended to be purchased, each item indicating a product sold by a retailer, the items being added to the electronic shopping list from the computer system or from a mobile computing device of a user, and wherein one of the items of the plurality is a last item listed on the electronic shopping list; acquiring, by the communication device of the computer system, GPS location data of the mobile computing device of the user; obtaining, by the computer system, a store map, the store map being indicative of a layout of a store associated with the retailer and wherein the store map is selected from a plurality of store maps each corresponding to one of a plurality of stores by comparing the GPS location data of the mobile computing device with GPS location data associated with each of the stores and being stored in a locations database to determine which store is most proximate to the GPS location data of the mobile computing device; determining, by the computer system, a plurality of product waypoints based on the plurality of items in the electronic shopping list and the store map, each product waypoint of the plurality of product waypoints corresponding to one of the plurality of items and being indicative of a location of the product indicated by the item in the store, and wherein the computer system further determines the product waypoints by querying the locations database using the items received from the electronic shopping list and the obtained store map; comparing, by the computer system, a number of items listed on the electronic shopping list to a predetermined threshold; determining, by the computer system, a first checkout lane type if the number of items is greater than the predetermined threshold, wherein a plurality of checkout lanes are of the first checkout lane type; determining, by the computer system, a second checkout lane type if the number of items is less than the predetermined threshold, wherein a plurality of checkout lanes are of the second checkout lane type; selecting, by the computer system, a checkout lane from among the checkout lanes of the first checkout lane type if the first checkout lane type is determined, wherein the checkout lane is selected for being the nearest checkout lane to the last item listed on the electronic shopping list from among the checkout lanes of the first checkout lane type; selecting, by the computer system, a checkout lane from among the checkout lanes of the second checkout lane type if the second checkout lane type is determined, wherein the checkout lane is selected for being the nearest checkout lane to the last item listed on the electronic shopping list from among the checkout lanes of the second checkout lane type; determining, by the computer system, a checkout waypoint corresponding to selected checkout lane from the locations database; determining, by the computer system, a route traveling through each of the plurality of product waypoints and the determined checkout waypoint, and wherein the computer system optimizes the route by determining a plurality of paths defined between product waypoints, assigning a weight to each path based on a distance or time of travel between product waypoints and by applying an algorithm to analyze the weights to optimize the route; rendering, by the computer system, an image of the store map having the location of the mobile computing device, the route, each of the plurality of product waypoints and the determined checkout waypoint; and providing, by the communication device of the computer system, the the rendered image of the store map for display on the mobile computing device of the user. 2. The method of claim 1 , further comprising: determining, by the computer system, an entrance waypoint indicating an entrance location of the store based on one or more of the product waypoints; determining, by the computer system, the route traveling through the entrance waypoint; and rendering, by the computer system, the image of the store map having the entrance waypoint. 3. The method of claim 1 , wherein any one or more of the items are deselectable from the electronic shopping list by the mobile computing device, wherein the computer system removes an existing product waypoint in response to deselection of the item from the electronic shopping list. 4. The method of claim 3 , further comprising the step of updating, by the computer system, the route to account for removal of the existing product waypoint. 5. The method of claim 1 wherein the items are added to the electronic shopping list by converting a digital photograph of an image captured by a digital camera of the mobile device and determining one or more items to add to the electronic shopping list in response to converting the digital photograph. 6. The method of claim 1 wherein the items are added to the electronic shopping list by analyzing with the computer system at least one of a previous electronic shopping list of the user and a purchase history of the user. 7. The method of claim 1 further comprising: acquiring, by the computer system, GPS location data of the mobile computing device of the user while the user navigates the store; and comparing, by the computer system, the GPS location data of the mobile computing device with location data associated with the determined route. 8. The method of claim 7 further comprising: detecting, by the computer system, whether the location of the mobile computing device deviates from the determined route; and updating, by the computer system, the route in response to detecting that the mobile computing device has deviated from the determined route. 9. The method of claim 1 wherein determining, by the computer system, the route further comprises determining a plurality of routes traveling through each of the plurality of product waypoints and the determined checkout waypoint and presenting the plurality of routes to the mobile computing device for selection by the user. 10. The method of claim 1 wherein applying the algorithm is further defined as applying Dijkstra's algorithm. 11. A server comprising: at least one processor; a communication device including one or more wireless transceivers for performing wireless communication; memory operably connected to the at least one processor; and the memory storing: a store locator module configured to obtain a store map, the store map being indicative of a layout of a store associated with a retailer and wherein the store locator module is configured to acquire GPS location data of a mobile computing device of the user using the communication device and select the store map from a plurality of store maps each corresponding to one of a plurality of stores by comparing the GPS location data of the mobile computing device with GPS location data associated with each of the stores and being stored in a locations database to determine which store is most proximate to the GPS location data of the mobile computing device; a route determination module configured to receive an electronic shopping list containing a plurality of items intended to be purchased, from a mobile computing device, each item indicating a product sold by a retailer, the items being added to the electronic shopping list from the server or from a mobile computing device of a user, and wherein one of the items of the plurality is a last item listed on the electronic shopping list; a locator module
based on store location · CPC title
Aspects of commerce using mobile devices [M-devices] · CPC title
Managing shopping lists, e.g. compiling or processing purchase lists (shipping orders G06Q10/083; order filling G06Q10/087) · CPC title
Optimisation of routes or paths, e.g. travelling salesman problem · CPC title
Locating goods or services, e.g. based on physical position of the goods or services within a shopping facility · CPC title
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