Retail AI & Data

Understanding what a planogram is and how to implement it effectively has become increasingly important for retail headquarters and merchandisers aiming to improve shelf productivity. This is particularly true in supermarkets, convenience stores, and drugstores, where limited shelf space directly impacts sales performance. While traditional methods focused mainly on shelf arrangement, modern planograms have evolved...

Multi-store expansion has become a widely adopted growth strategy among retail businesses looking to scale. However, as businesses expand to multiple locations, store operations become increasingly complex. Shifts in consumer behavior and rising operational costs are putting increased pressure on traditional store management. Without standardized workflows and centralized oversight, expanding businesses often face localized inefficiencies,...

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,...

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...

Retailers losing 5 to 10 percent of total inventory value to expired stock is not a fringe problem – it is a common operational reality for businesses still relying on manual shelf checks and spreadsheets. For CxOs and digital transformation leaders managing multi-outlet networks across Southeast Asia, that figure represents a direct and largely preventable...

Knowing exactly which products are running low. Offering personalized discounts the moment a customer walks in. Automatically updating inventory in real time as items are sold. These aren’t just dreams of retail managers. They’re now a reality, thanks to IoT in retail. With the power of connected devices, IoT in retail is revolutionizing how businesses...

Fragmented data used to present a significant hurdle for retailers to deliver truly personalized experiences and drive growth. Yet, things have changed with the emergence of technology. Among those, the customer data platform emerges as a transformative solution, lifting the retail industry to a new level. Understanding your customer is no longer an advantage but...

By 2026, global retail advertising revenue will exceed $1 trillion, with Asia-Pacific markets driving this transformation through AI automation and hyper-personalized commerce (PwC). From Japan’s tech-savvy retailers to Southeast Asia’s marketplaces, the opportunity for any player to define the retail future is wide open.  Will your business lead the $1 trillion transformation, or become its...