Logistics

Infusing AI in the supply chain isn’t magic, but it can be an extremely powerful tool for supply chain management.

To be sure, the future of AI in the supply chain holds great promise for the companies that can successfully see their investments through.

There’s no shortage of AI logistics use cases, whether it’s through demand forecasting, enhancing warehouse efficiencies, or improving route planning. In all of these cases, AI in the supply chain can translate to streamlining, predicting, and automating key aspects of logistics operations. 

AI in the supply chain has many applications, not least of which includes logistics. While historically logistics teams may have operated in siloes and relied on manual, labor-intensive processes, they are now leaning into AI-powered tech to gain greater visibility into their operations.

Natural soap and personal care brand Dr. Squatch is building out its end-to-end supply chain strategy and channeling efforts into localized warehousing, logistics, and transportation operations.

When Kimberly-Clark sought to improve its supply chain visibility for both its retailers and consumers, it had a fairly specific pain point to solve: order bunching.

The company is tapping into frictionless commerce tech and intelligent cloud services to elevate its supply chain. Learn more.

Learn about their digital transformation investments across the supply chain — despite ongoing economic headwinds — and how these changes will trickle down to the end-consumer.