Transform SR Brands has been granted a patent for an e-commerce system that enhances product sales through comparative marketing. The method involves analyzing customer purchase histories and social networking data to present alternative products, highlighting attribute differences and justifying price variations to customers. GlobalData’s report on Transform SR Brands gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Transform SR Brands, Personalized content delivery was a key innovation area identified from patents. Transform SR Brands's grant share as of June 2024 was 82%. Grant share is based on the ratio of number of grants to total number of patents.
E-commerce system for product comparison and marketing justification
The patent US12045856B2 outlines a method and system for enhancing e-commerce experiences by leveraging customer data and social networking insights. The method begins with a customer request for a product, which is processed by a computing device that retrieves purchase histories and social networking data. This data is used to identify relationships among customers, allowing the system to weight purchase histories accordingly. The method then identifies key attributes that drive purchases for the requested product and ranks alternative products based on these attributes. A marketing message is generated to justify any price differences between the requested product and the selected alternative, which is then presented to the customer in a visual format that includes a comparison of the products.
The system is designed to facilitate informed purchasing decisions by displaying a visual matrix that compares the requested product with alternatives, highlighting differences in attributes and providing justifications for price variations. The claims also specify that the alternative product's price may be higher or lower than that of the requested product, and the justification can be based on one or multiple differing attributes. Additionally, the system can dynamically select purchase-driving attributes from a ranked list, ensuring that the recommendations are tailored to the customer's preferences and social connections. This innovative approach aims to enhance customer engagement and satisfaction in the e-commerce landscape.
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