Warehouse automation decisions are often based on assumptions about future volume, labor, SKU mix, workflows, and facility requirements. The challenge is that those assumptions rarely stay fixed over the life of an automation investment.

For many supply chain organizations, putting artificial intelligence to work is proving to be a much bigger undertaking than simply adding a new piece of software.

PING, a leading manufacturer of innovative golf equipment and accessories for everyone from tour pros to weekend players, partnered with John Galt Solutions to strengthen its supply chain planning capabilities. Through implementation of Galt’s Atlas Planning platform, PING was able to create a fully integrated demand and supply planning environment. 

Supply chains by their nature are complex, interconnected systems where the source of a disruption is rarely obvious at first glance. What might take a team of analysts days to unravel can be surfaced and contextualized far more efficiently through GenAI, freeing up planners to focus on response efforts rather than diagnosing the core issue.

For retail and eCommerce brands, the customer experience doesn’t end at checkout. The delivery experience is often the last impression a brand makes, yet it can also be one of the parts of the customer journey it controls least.

Join HERE Technologies, DCSA and AWS to explore how trusted data, industry standards and predictive intelligence can move supply chains beyond visibility toward proactive orchestration. 

Supply chain leaders have spent years trying to improve forecasts, gain better visibility and react faster when conditions change. Artificial intelligence is changing that equation by shifting how information reaches planners, how quickly they can test alternatives, and which tasks still require human attention.

For the chief supply chain officer (CSCO), the importance of an orchestrated supply chain cannot be overstated, particularly where speed and agility can mean the difference between strong and weak performance.

Warehouse managers can plan for a lot of things. They can forecast seasonal demand, optimize inventory levels and redesign workflows to improve efficiency. But what they can't plan for is every unexpected disruption that occurs throughout a normal workday.