Retail AI & Data

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...

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...

A POS system is an essential tool for retail in-store operations, streamlining transactions and reducing customer wait times at checkout. However, AI-powered POS systems go beyond traditional payment processing. With machine learning capabilities, AI can enhance POS systems by over 50%, optimizing efficiency and data utilization, providing valuable insights into customer behavior, inventory management, and...