Method and approach to use a footfall based feeback loop tracked via geo location services to rank shopping outlets on the move using a mobile based application.
Publication Date: 2014-Mar-28
The IP.com Prior Art Database
This publication outlines a method and approach to use geo location services in order to determine a user's decision. How and which business outlet a user selects to visit, when faced with multiple options taking into consideration factors such as traffic, congestion, distance etc helps associate a vote of confidence to the particular outlet vis a vis others and achieve a relative ranking.
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Method and approach to use a footfall based feeback loop tracked via geo location services to rank shopping outlets on the move using a mobile based application .
Proposed solution: A footfall based approach that tracks the users movement using gps post the search results have been displayed to him/her. The app will track the user to verify whether he/she actually visits a store recommended by the app (Step1) and whether the user actually purchases a product on offer by the store (Step2). If the user does visit the store, it signifies an initial conversion or vote of confidence to that particular store. If the user also ends up buying a product from that store it helps in further honing the ranking for that store. Using this information the app will tune the ranking and relevance of the store with respect to search parameters entered by the user.
Core Idea: A mobile app that displays a set of ranked results to a user based on the search parameters entered. The search parameters could include the product the user is interested in purchasing and also the radius distance the user is willing to travel from current location, depending on whether the user plans to travel by foot or by vehicle. Once the search results have been displayed to the user, the app will track the user's movement for a predetermined amount of time via gps to determine if the user visited any of the stores returned in the search results. In addition, the app will also track whether the user actually purchased a product from the store. Using this information and comparing it to the ranking of the other search results, and their distances, a relative score can be achieved that can be used to fine tune the ranking and relevance of the search results for future searches.
The invention works on the principle of establishing a relationship between store options available to the user in a location and the one that the user chooses to visit and optionally purchase a product from. The principle also takes into account the number of times the user visits this store subsequently, since each visit depicts a vote of confidence to the store.
The vote of confidence is defined under two categories
1. Only a visit to the store, but no purchase
2. Visit to the store along with a purchase
If the user has visited the store but never purchased a product, revisits to the store can be an important indicator of the user's approval of the store. But store visits by a user beyond a certain number without a purchase could lead to the store receiving a negative rating.
High Level Implementation and Flow:
1. This principle is employed in two types of apps. A client app that is available to the user via a compatible mobile device and a store app that is integrated into the store's billing system.
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2. The client app stores all data about the user's choices and movements in a backend server that can be mined for analysis
3. The client app requests the user to enter keywords relat...