Edge processing refers to the use of computational power at or near the edge of the network, rather than in a centralized location. In retail, this means processing data from sensors, cameras, and other devices in real-time at the store level, rather than sending all that data to a central server for processing. In this article, I will explore the business case for edge processing in retail, examine how some of the top consulting firms are approaching the topic, and share some best practices for implementing edge processing in retail.

Exploring the challenges faced by e-commerce businesses and the exponential growth of online retail, it highlights the pivotal role of industrial automation in optimizing fulfillment processes, enhancing last-mile delivery, and elevating the customer experience.

With the exponential growth of data and the increasing demand for enhanced customer experiences, retailers are turning to AI to gain a competitive edge. This article explores AI's transformative role in retail, focusing on personalized recommendations and automated inventory management while incorporating industry facts and statistics to provide valuable insights.