Kraft Heinz builds KraftGPT generative AI assistant for real-time employee product sales insights

As the No. 21 publicly owned consumer goods company, Kraft Heinz operates a supply chain of significant complexity — spanning manufacturing, retail partnerships, and agricultural sourcing down to the farm level. SVP Helen Davis's operations organization has approximately 50 dedicated data scientists.

Kraft Heinz is building KraftGPT, an internal generative AI application for employees to get quick product sales insights through natural language. The interface — described by SVP Helen Davis as an 'Ask Me Anything' app — allows employees to pose questions like "Why are we selling so much bacon?" Alongside it, Kraft Heinz is moving toward a 'self-driving supply chain' that includes a cognitive decision layer building digital twins of people in the supply chain, enabling autonomous adjustments to production schedules and inventory movements. About 50 data scientists dedicated to Davis's operations organization work in Agile pods under Kraft Heinz's 'Agile@Scale' strategy — each pod working in weekly sprints and reporting quarterly to cross-functional leadership, with the data scientists working alongside functional leads and IT to feed transactional data into the Kraft Heinz data lake.

Kraft Heinz is building KraftGPT as part of its move toward a self-driving supply chain, underpinned by digital twin capabilities and a cognitive decision layer. SVP Helen Davis said this autonomous approach helps the company react quickly to changing consumer demand, a lesson from the pandemic, describing it as "getting 500 employees in an instant making those decisions." Key points:

• KraftGPT is being built so employees can query product sales conversationally
• Davis credited the Agile pod structure with enabling Kraft Heinz to act quickly, including its moves into generative AI
• Kraft Heinz is making progress on end-to-end visibility connecting retail store shelves to farmers, and is working on improving how quickly it signals the supply chain when a competitor goes out of stock

• Embedding data scientists within operational Agile pods — rather than centralizing them in IT — keeps AI projects tied to business outcomes and compresses deployment timelines.
• Senior leadership sponsorship and funding were cited as reasons Kraft Heinz is moving quicker than most organizations.
• Building a cognitive decision layer and supply chain digital twin extends AI value beyond individual tools to organization-wide autonomous decision-making.
• Pandemic-era experience validated the strategic case for autonomous, real-time demand response — a lesson worth embedding into long-term AI architecture.