AI in retail refers to the use of artificial intelligence, machine learning, and data analytics to improve product discovery, customer experiences, merchandising, personalization, and decision-making across retail channels. AI-powered search helps shoppers find relevant products based on intent and context, while smart merchandising dynamically presents products based on customer behavior, inventory, trends, and business goals.…

Retailers and brands today manage catalogs with thousands — sometimes millions — of SKUs. The challenge isn’t just storing this data, but ensuring it’s accurate, consistent, and enriched enough to meet the expectations of both customers and marketplaces. Manual fixes can’t keep up at this scale. That’s why companies are rethinking their data pipelines, combining…

In the fast-paced world of eCommerce, consumers expect instant responses, personalized experiences, and seamless transactions. Brands that meet these expectations gain a significant edge—and AI-powered chatbots are becoming the secret weapon to do just that. AI chatbots in the eCommerce context are virtual agents that use artificial intelligence to interact with customers, answer questions, and…

What Is AI in Data Management? AI in data management is the use of artificial intelligence, machine learning, and related technologies to automate and improve data management processes such as data cleansing, classification, integration, governance, discovery, and analysis. Traditional data management often depends on manual processes and predefined rules. AI-powered data management can identify patterns,…

SAP Commerce, earlier known as SAP Hybris, continues to be the backbone of digital commerce for many global brands. Its strong architecture and flexibility make it a reliable choice for enterprises aiming to build seamless online experiences. But in today’s fast-paced commerce landscape, even the most robust platforms need specialized tools to deliver what customers…