Method to provide shopping recommendations based on cross-store shopping history of consumer
Publication Date: 2013-Nov-18
The IP.com Prior Art Database
Disclosed is a method to extend purchasing opportunities for consumers, and marketing opportunities for retailers, by enabling retailers to collect comprehensive data about a consumer’s purchasing history. The novel contribution is that a third party system can collect data on behalf of a retailer or Consumer Packaged Goods manufacturer, with the consumer’s consent, about purchases made from multiple sources, rather than just one.
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Method to provide shopping recommendations based on cross - of consumer
Retailers use customer purchase history to make marketing and promotion recommendations to encourage repeat purchases. Since customers shop at multiple retailers, every retailer only has a limited view of a customer's purchases on which to base these recommendations. Credit cards routinely use purchase-tracking systems. In addition, newer services focus on providing virtual receipts. Retailers use this information to design shopping recommendations that provide more relevant and informed promotions for customers, as the information is based on a comprehensive view of a customer's historical purchases. Retailers offer promotions in the form of coupons, product reviews, and other materials that will prove useful to the customer.
A drawback of the current systems and methods is that all results describe normal cross-sell scenario for a single store or stores that are partners. This limits opportunities for both the consumers and the retailers.
When making in-store or online purchases, many customers use credit or debit cards. The novel method uses this fact to facilitate data collection opportunities for retailers. The method enables consumers to share purchasing information with a retailer or Consumer Packaged Goods (CPG) manufacturer, with consent to having a third party
application log the shopping history based on credit or debit card purchasing activity. Upon analysis of the collected data, a retailer or manufacturer can then provide personalized marketing communications to the customer that are based on comprehensive, vendor agnostic information about a customer's purchasing history and cycles.
Privacy of the transaction data made available to retailers is critical: therefore, the method includes privacy considerations. The service can be configured as an either
white list or a blacklis...