Erzeugung eines Personalisierten Werbungsangebots durch Verständnis der Kundenkaufabsicht zur Maximierung der Rückkehr zu Investitionen

Details

Veröffentlichungs-Nr.

EP4621693

Aktenzeichen

EP25164067

Anmeldetag

17. März 2025

Veröffentlichung

24. September 2025

Rechtsraum

EP

IPC

G06Q30/0207G06Q30/0251

Abstract

Unlike rule based offer generation in state of the art, a method and system for personalized promotion offer generation by understanding customer buying intent to maximize return on investment is disclosed. Product and associated customer details are obtained from product catalog and transaction data. RFM score is computed based on transaction data to create customer segments capturing demographics behavioral data for customer. A tree based ensemble classifier predicts promotion offer redemption probability for each customer segment. The linear optimization model assigns an optimal number of promotion offers, to attain an increasing profit margin, thereby generating offers as per relevance. Budget constraint is applied so that maximum revenue can be attained. The final per customer allocation of the offer is based on different rules of personalization as required from the industry. The eligibility of getting gift card is computed by setting threshold of what customer should spend to get gift card.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete