The latency trap: Smart warehouses abandon cloud for edge

**Understanding the Shift to Edge AI in Warehousing** The landscape of logistics is changing fast. While many businesses are looking to the cloud for their operations, warehouses are taking a different route. This article dives into a fascinating trend where smart warehouses are turning to edge AI. So, why the shift? It all comes down to an important issue known as the latency gap. **What is the Latency Gap?** The latency gap refers to the delays that can happen when data is processed in the cloud. In fast-paced environments like warehouses, even a small delay can lead to big problems. Products can get lost, orders can be delayed, and efficiency takes a hit. Edge AI tackles this issue by processing data closer to where it’s generated. This means quicker response times and smoother operations. **The Benefits of Edge AI** One of the main advantages of using edge AI in warehouses is speed. When data is analyzed on the spot, decisions can be made instantly. This leads to faster inventory management, better tracking of goods, and improved overall productivity. Another benefit is reliability. Cloud systems can sometimes