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Ai-Powered Promotional Campaigns, Fraud Detection and Security Enhancement
Abstract
This chapter explains how artificial intelligence can upgrade point-of-sale (POS) systems by joining three goals—smarter promotions, stronger fraud detection, and tighter security—into one decision layer at checkout. It first describes the AI-enabled POS landscape and the data foundations needed for reliable learning, including clean event streams, privacy-safe identity, feature stores, and delayed labels. It then shows how uplift-based personalisation, basket-aware recommendations, and guardrailed dynamic incentives raise incremental margin without adding friction. For fraud, the chapter combines supervised models with anomaly, sequence, and graph methods to spot refund abuse, coupon misuse, and organised schemes in real time while keeping false positives low. For security, it presents adaptive authentication, endpoint and network analytics, cryptography and tokenisation health checks, and device integrity monitoring, all designed to react quickly and safely.
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