We'e rapidly entering an era where robots don;t simply operate with human commands from static maps and point-to-point instructions; they do so autonomously — and with each other.

From manufacturing and logistics to finance and customer service, automation is redefining how work gets done.

Despite their promise, AI-enabled vision systems present several challenges that organizations must address. 

Large retailers are placing automated MFCs in stores to pull inventory closer to demand, compressing cycle times.

Companies today see their storage and fulfillment networks as extensions of their risk-management strategy: places to adapt, recalibrate and absorb shocks when global dynamics shift.

Modern-day sortation technologies — including hardware, software and data— at middle-mile cross-docks give retailers and shippers the tools to transcend the “transportation-only” mindset.

Goods-to-person automation flips traditional warehouse processes on their head.

Third-party logistics providers with their own warehouses must accommodate a wide range of very specific customer fulfillment needs.

The introduction of AI has created a need for a variety of new roles to implement and manage the technology, from machine learning engineers to automation specialists.

Warehouses that are best equipped to weather the storms of disruptions are often those that have the technology they need to stay resilient.