Blogs

Enterprise AI has moved beyond the PoC stage. Businesses are now focusing on practical AI adoption to improve operations, automate workflows, and support faster decision-making. As demand grows, the challenge is no longer finding AI talent, but finding an AI solutions company that can integrate AI into existing systems, manage large-scale data environments, and deliver...

In the era of AI-driven manufacturing, achieving consistent product quality at high speed while minimizing waste has become one of the biggest challenges for manufacturers across APAC. Traditional manual inspection, despite being widely used, can no longer cope with increasing product complexity, tighter quality standards, and the pressure to deliver near-zero defect rates. Vision AI...

With labor shortages becoming a critical issue for the retail industry, “unmanned store” is gaining significant attention. Leveraging AI and cashless payment systems, this model enables 24/7 operations and reduces operational costs, and is rapidly becoming the new standard for retail. However, unmanned stores are not simply achieved by automating checkout. In practice, how inventory,...

For Japanese multinationals in Southeast Asia, the centralized ERP model that once enforced discipline is now struggling to keep pace. The architecture must evolve—and the path forward is clearer than most CIOs expect. The Architecture That Served Japan Well — Until It No Longer Does There is a version of this story that every CIO...

What Is Predictive Maintenance? Definition in a Manufacturing Context Predictive maintenance (PdM) is a condition-based maintenance strategy that uses real-time equipment data — collected via sensors, PLCs, and machine signals — to detect early signs of failure before they cause unplanned downtime. Rather than following a fixed schedule or reacting to breakdowns after the fact,...

In APAC manufacturing, many factories have invested heavily in digital systems and automation, yet struggle to achieve expected improvements in OEE, downtime reduction, and operational efficiency. The root cause is not a lack of technology, but a gap in how decisions are made on the shop floor. Most Smart Factories still rely on rule-based automation,...

Basket analysis is a method used to identify products that are frequently purchased together. By analyzing purchase data stored in POS systems and e-commerce purchase history, retailers can understand customer purchasing behavior. This insight can be applied to promoting cross-selling, optimizing store layouts, and improving the accuracy of recommendation engines. This article provides a clear...

RFM analysis is a customer analysis method that evaluates purchasing behavior based on three dimensions: Recency, Frequency, and Monetary. In retail, where large volumes of transaction data are generated daily, segmenting customers using these metrics is a practical first step toward maximizing LTV (lifetime value). This article explains the fundamentals of RFM analysis, how to...

Even when a store has high foot traffic, it does not always lead to higher conversion rates. In many cases, the underlying issue lies in how customers move within the store. Without understanding where customers go, where they stop, and which areas they skip, store improvements tend to rely on intuition. Flow analysis provides a...

In recent years, the convenience store industry has seen a rapid shift toward unmanned operations and self-checkout systems, with major chains such as 7-Eleven and Lawson accelerating adoption. However, this transition has led to a sharp increase in self-checkout shoplifting and sophisticated cash register fraud methods. As a result, convenience store shoplifting prevention measures have...