MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202421097229 A) filed by Tata Consultancy Services Limited on December 10, 2024, for Methods And Systems For Bundle Purchase Probability Estimation And Revenue-Maximized Bundles Recommendation To Customer Segment.
Inventors include Swami, Aakash; Gugulothu, Narendhar; Vinnakota, Tirumala Rao; and Bhat, Sanjay Purushottam.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT METHODS AND SYSTEMS FOR BUNDLE PURCHASE PROBABILITY ESTIMATION AND REVENUE-MAXIMIZED BUNDLES RECOMMENDATION TO CUSTOMER SEGMENT The disclosure relates generally to methods and systems for bundle purchase probability estimation and revenue- maximized bundles recommendation to customer segment. Conventional techniques mostly focused on customer-item, customer-bundle, or customer-item-bundle interactions, but do not model interactions among customer segments, items, and prices to form the bundles. The present disclosure discloses an approach for ancillary bundle recommendation using an item-level purchase data for a given customer segment. Firstly, the item-level sales data is converted into the bundle-level sales data having a plurality of ancillary bundles. Then, a nested MLP network is trained which can predict the probability of purchase of a given ancillary bundle at a given price for a specific customer segment. Further, the ancillary bundles are priced for given customer segment by maximizing the revenue. Finally, the recommendations are provided for given customer segment by ranking ancillary bundles based on their estimated revenue by selecting the top-N bundles. [
Disclaimer: Curated by HT Syndication.
