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Store Selection Based on Purchased Item Trend

IP.com Disclosure Number: IPCOM000248302D
Publication Date: 2016-Nov-15
Document File: 3 page(s) / 37K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system that selects the best store for a user to shop based on the shopper's habitual purchases and current pricing. The system also helps manufacturers better understand brand and store loyalty.

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Store Selection Based on Purchased Item Trend

Shoppers have brand and store loyalties to various extents. Some shoppers change shopping venues to receive greater benefits (e.g., better sales, closer location, available coupons and discounts, etc.). A method is needed to help users select the most beneficial stores at which to shop and help manufacturers better understand brand and store loyalty.

The novel contribution is a system that selects the best store for a user to shop based on the shopper's habitual purchases and current pricing. The system analyzes a customer's historical purchase patterns, compares current prices at local stores, and pushes information to the customer about the best price combinations for items typically purchased together. This information regarding the combinations of items purchased provides the user a better understanding of overall savings/spending, as opposed to saving/spending on individual products.

For example, a shopper typically purchases eggs, milk, and cheese together. Because the user most frequently shops at Store 1, the system alerts the user that the current total for that purchase on this date is $N. At Store 2 on this date, the same combination of items costs $M, with a total savings of $Z. The shopper then opts to visit Store 2, even though it is not a regular location, in order to save money.

The components and process for implementing this system in a preferred embodiment follow:

1. System collects purchase/shopping information for a user, using (but not limited to):

A. Receipts

    B. Coupon usage
C. Manual Input 2. System identifies purchasing patterns
A. With a degree of confidence, system recognizes that a person usually buys X, Y, and Z items together in one shopping instance B. This confidence threshold can be adjusted 3. System reviews various store resources for inventory, using (but not limited to): A. Connection with sto...