Artificial Intelligence is no longer just an experimental tool in the APAC retail sector. It's becoming an integral part of daily operations. What's driving this shift? Dense urban environments, high labor turnover, and fierce competition in quick-commerce seem to be the key factors.
According to a Q4 2025 GlobalData survey, 45 percent of consumers in Asia and Australasia are likely to purchase based on AI recommendations. This suggests a growing trust and reliance on AI, whether consumers realize it or not. Machine learning systems have long influenced what consumers see, buy, and the discounts they receive.
Store Automation and Computer Vision
The practical applications of AI are increasingly evident. Take Lawson's 'Lawson Go' stores in Japan, launched with CloudPick in 2025. These stores eliminate traditional checkout lines and cashiers, enhancing the shopping experience through AI, machine learning, and computer vision.
In South Korea, Fainders.AI's cashier-less MicroStore inside a gym, introduced in 2024, marks another step towards autonomous retail. Such implementations make tech-driven shopping a reality rather than a distant future.
The numbers tell a different story replenishment. In the APAC market, known for small store footprints, AI predicts and automates stock replenishment. Coop Sapporo in Japan uses Sora-cam to avoid overstocking and reduce waste. The system provides data-driven insights on shelf displays and alerts staff for timely markdowns.
AI as a Retail Agent
Agentic AI is making waves in the retail sector by performing shopping tasks from start to finish. Imagine telling an AI to “Plan five dinners for a family of four, mostly Asian recipes, no shellfish, under 45 minutes.” The AI not only plans the meals but also builds the shopping cart, ensuring nothing's missed.
This capability resonates with APAC consumers who frequently shop fresh and cook at home. AI systems that understand regional cuisines better cater to local tastes than generic Western meal solutions. In a region where digital wallets, messaging apps, and delivery services are commonplace, AI fits seamlessly into daily routines.
However, challenges remain. Ensuring data privacy, minimizing errors in ingredient recommendations, and incorporating language nuances are hurdles yet to be fully overcome. But as AI continues to evolve, these challenges are likely to be addressed.
So, what's the real impact here? AI isn't just a tool for efficiency. It's reshaping how retailers engage with consumers, turning mundane shopping into something more intuitive and personalized. Are we ready for a future where AI knows our shopping habits better than we do?