Exploring AI in the APAC retail sector

AI News

by Ryan Daws

February 20, 2026

AI-Generated Deep Dive Summary

AI is increasingly becoming a cornerstone of daily operations in the APAC retail sector, driven by factors such as dense urban environments, high labor turnover, and the fast-paced competition of quick-commerce platforms. According to a Q4 2025 survey by GlobalData, 45% of consumers in Asia and Australasia are highly likely to make purchases influenced by AI recommendations or endorsements. This shift reflects a growing reliance on machine learning systems that not only influence purchasing decisions but also automate tasks across the retail workflow, from inventory management to customer interaction. One notable example of AI adoption is Japan’s Lawson chain, which introduced its “Lawson Go” cashier-less stores in collaboration with CloudPick. These stores leverage computer vision and machine learning to eliminate checkout lines, enhancing customer experience by streamlining transactions. Similarly, South Korea’s Fainders.AI deployed a compact, cashier-less MicroStore inside a gym, demonstrating how AI can make autonomous retail more accessible across various business models. In Southeast Asia, where price sensitivity is high, AI-driven tools like Coop Sapporo’s Sora-cam system are proving essential for efficient inventory management. By using camera-based AI to monitor shelf stock and optimize replenishment schedules, retailers can minimize waste and improve promotion efficiency. This technology also aids in dynamic pricing strategies, ensuring markdowns are timely and effective. Agentic AI systems are further transforming consumer interactions by personalizing shopping experiences through localized recommendations tailored to regional tastes. For instance, AI agents in APAC markets can now plan meals based on local cuisines

Verticals

Originally published on AI News on 2/20/2026