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.
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.
The idea of building a third runway at Heathrow has been floated for decades, but has met with fierce opposition from local residents and preservationists, politicians and climate campaigners.
Using a practical, nine-step framework and real examples from demand and supply planning, including AI-generated scenarios that surface capacity risks before a Supply Review even begins, JT will show what's possible today, what's still emerging, and how to avoid the governance pitfalls that derail AI adoption.