Verfahren und Systeme zur Bündelkaufwahrscheinlichkeitsschätzung und Ertragsmaximierten Bündelempfehlung für ein Kundensegment

Details

Veröffentlichungs-Nr.

EP4760622

Anmeldetag

22. September 2025

Veröffentlichung

17. Juni 2026

Rechtsraum

EP

Abstract

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.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien