A new report, AI in Food Manufacturing: An Emerging Future, published on Food Manufacturer in partnership with Barclays, brings together exclusive insights from senior leaders across operations, innovation and technology to explore where the sector stands today and what comes next.
To explore the full findings and access the complete research, read the full report here.
While momentum is building, adoption across core operations is still at early stages for many manufacturers. So, what is limiting progress? And, crucially, where is AI already proving its value in real-world F&B manufacturing?
The findings point to a sector gaining momentum. Investment intent is rising, entry barriers are lowering and use cases are becoming more practical. Yet many of the obstacles manufacturers face, from fragmented data to forecasting challenges, remain firmly in place. The report suggests these are not just barriers but also the biggest opportunities for AI to deliver meaningful impact.
“Many of the barriers manufacturers face today – whether it’s fragmented data or operational complexity – are exactly where AI can have the most impact,” says Tom Horton, head of manufacturing, transport and logistics, Barclays Corporate Banking. “The opportunity now is to turn those challenges into springboards for innovation and growth.”
As manufacturers look to move from exploration to implementation, key questions remain: how can teams build the capabilities needed to adopt AI at scale; where should investment be prioritised; and how can AI support operational performance and wider business goals?
The full report explores these challenges and opportunities in detail, combining industry insight with practical direction for manufacturers looking to accelerate adoption.
It includes exclusive research on:
- Where AI adoption really stands across F&B manufacturing
- The key barriers holding manufacturers back and how they can be addressed
- How businesses are approaching skills, upskilling and workforce impact
- The most valuable use cases, from predictive maintenance to forecasting
- Where AI can unlock both operational and sustainability gains
To explore the full findings and access the complete research, read the full report here.
