How is artificial intelligence making its mark on supply chain planning?

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.

As Chagrinovations, a consumer goods invention company, was on the verge of expanding from D2C sales into nationwide retail and marketplace channels, its existing 3PL provider ended the relationship, citing the company’s small size. The transition created an immediate need for a logistics partner capable not only of supporting existing fulfillment operations, but also of scaling alongside an increasingly complex and diverse business.

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 today’s Chief Supply Chain Officer, the challenge is no longer simply creating a better plan. It is building an operating model that can continuously sense, reason, adapt, and act as conditions change

By analyzing real-time operational data alongside historical patterns, AI can optimize order fulfillment, dynamically direct picking routes, and reduce unnecessary travel and handling.

Today's supply chain leaders need to make decisions quickly, drive their organizations continuously forward, and bring their entire company on board.

Jimmy Dixon, business advisor with Oliver Wight Americas, explains the concept of “operationalizing strategy,” and how to put it into practice.

In today's complex retail and CPG landscape, aligning inventory with volatile, omnichannel demand is a critical challenge. Traditional forecasting and planning methods often fall short, leading to out-of-stocks, excess inventory, and missed revenue opportunities. This white paper, "Demand Intelligence Impacts," explores how leading companies are overcoming these obstacles by leveraging AI-powered demand intelligence to drive significant organizational outcomes.