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AIModelKit > News > Unlocking the Potential of AI in the APAC Retail Industry: Insights and Trends
News

Unlocking the Potential of AI in the APAC Retail Industry: Insights and Trends

aimodelkit
Last updated: February 20, 2026 8:00 pm
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Unlocking the Potential of AI in the APAC Retail Industry: Insights and Trends
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The Evolution of AI in the APAC Retail Sector: From Analytics to Daily Operations

The Growing Impact of AI in Retail

Artificial Intelligence (AI) is now taking center stage in the Asia-Pacific (APAC) retail sector, moving beyond mere analytics and pilot programs to become an integral part of daily operations and workflows. A recent survey by GlobalData indicates a strong consumer appetite for AI-enhanced shopping experiences; 45% of respondents from Asia and Australasia expressed a high likelihood of making purchases based on AI recommendations or endorsements. This data underscores the significant transformation occurring in retail environments across the region.

Contents
  • The Growing Impact of AI in Retail
  • Harnessing Computer Vision and Store Automation
  • Enhancing Labour Efficiency with AI
  • The Role of Agentic AI in Consumer Interaction
  • The Future of Retail with AI in APAC

Jaya Dandey, Consumer Analyst at GlobalData, articulates that AI has long played a pivotal role in shaping consumer interactions. From determining product visibility to managing discounts, machine-learning systems quietly guide consumer purchasing behaviors. The exciting transition into fully agentic systems allows for seamless shopping experiences, where AI can handle tasks efficiently from start to finish.

Harnessing Computer Vision and Store Automation

Enterprises in the APAC region are embracing computer vision and machine learning as they explore innovative retail solutions. An exemplary case is Lawson’s introduction of ‘Lawson Go’ stores in Japan during 2022. Collaborating with tech provider CloudPick in 2025, Lawson integrated AI, machine learning, and computer vision, effectively eliminating check-out lines and allowing customers to enjoy a smoother shopping experience.

In South Korea, the retail AI company Fainders.AI launched a cashier-less MicroStore within a gym in 2024. This deployment has not only improved convenience for consumers but also made autonomous retail more accessible across various business models.

AI also excels in inventory management, especially in densely populated urban spaces with frequent replenishment cycles. Take, for example, Coop Sapporo, a Japanese food retail chain that utilizes a camera-based AI system named Sora-cam. This system helps manage stock levels, reducing overstock and preventing waste by encouraging timely markdowns on perishable goods. By employing an analytics team to optimize shelf displays based on generated images, Coop Sapporo is capitalizing on AI for effective inventory management.

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Moreover, AI models are instrumental in tracking inventory waste and improving promotional efficiency, especially in Southeast Asian markets, where consumers are highly price-sensitive. Minor enhancements in promotional strategies can significantly uplift profit margins in this competitive landscape.

Enhancing Labour Efficiency with AI

Labour optimization powered by AI is essential for retailers operating in regions facing structural labor shortages, such as Japan and South Korea, as well as in high-growth Southeast Asian markets. By leveraging AI for scheduling, task prioritization, and workload balancing, retailers can better navigate staffing challenges while simultaneously improving operational efficiency.

The Role of Agentic AI in Consumer Interaction

Agentic AI systems are redefining interaction between retailers and consumers in the APAC region. According to Dandey, this form of AI acts as an "operator," capable of understanding goals, planning steps, adhering to constraints, executing complex actions, and adapting to consumer preferences over time.

Imagine a scenario where a customer can simply express a broad intent: “Plan five dinners for a family of four, mostly Asian recipes, no shellfish, under 45 minutes.” The AI agent not only generates relevant recipes but also creates a shopping cart, sizes quantities, and adds missing staples—all customized to local culinary preferences. This aligns perfectly with the cooking habits in many APAC households, where fresh ingredients play a pivotal role.

Furthermore, digital wallets, messaging apps, ride-hailing services, and delivery ecosystems are already deeply entwined in APAC shopping behaviors, making it easier for agentic AI systems to integrate seamlessly. However, challenges still exist: ensuring consumer data privacy, minimizing inaccuracies related to allergens and ingredients, and localizing AI systems to accommodate language nuances are key hurdles that need addressing.

The Future of Retail with AI in APAC

AI’s integration into APAC retail is just beginning to accelerate, promising an exciting future with continually improving customer experiences, operational efficiencies, and innovative service models. As technology advances, retailers who embrace these changes will be well-positioned to thrive in a rapidly evolving market landscape.

Engaging with cutting-edge AI solutions is not just an option; it’s becoming a necessity. For those eager to delve deeper, industry events like the AI & Big Data Expo—taking place in Amsterdam, California, and London—offer invaluable insights and networking opportunities in this transformative space.

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