A Tale of Two Companies: Winning and Losing with AI in Food and Beverage 

Same pressures, same spending, different outcomes

Most food and beverage companies are investing in AI, but far fewer are seeing returns. The difference often isn't the budget. It's the foundation of data, processes, and systems that AI relies on to deliver value.

Industry experts Jack Payne and Sheldon Peacock walk through the experiences of two manufacturers facing the same pressures: rising costs, thinning margins, and volatility. One standardized on an industry-specific platform with embedded AI. The other is still patching together fragmented systems and bolted-on AI. As their approaches diverge, so do their results. You'll see how technology and AI decisions impact operations, quality, supply chain performance, and profitability.

Every insight is backed by new research from Vanson Bourne, commissioned by Aptean and based on responses from 300 food and beverage decision-makers. Join us to see what separates manufacturers turning AI investments into results from those struggling to realize value.

What You'll Learn:

• Why integration (not AI) is the real bottleneck, and where to start. 85% of food and beverage companies say connecting AI to core business systems is more challenging than implementing the AI itself.

• How to catch a bad order before it ships. One manufacturer in our research automatically catches quantity errors, incorrect SKUs, and shelf-life issues upstream.

• Where industry-specific AI delivers measurable advantages. 29% of companies using vertical AI report double-digit forecast accuracy gains, compared with 19% using general-purpose tools.

• How top performing manufacturers are turning AI investments into business value. Learn what separates companies seeing gains in forecast accuracy, productivity, and decision making from those still struggling to realize ROI.