Can Predictive Analytics Save $1.1 Trillion in Food & Beverage Waste?

In the fast-paced world of food & beverage manufacturing, merely monitoring data isn't enough to keep pace with the growing inventory threats from market shifts. As Beverage Industry highlights, the need for predictive maintenance and inventory management is increasingly crucial to enhance manufacturing efficiency and product quality across the food and beverage industry, with brands including Frito-Lay, Nabisco, PepsiCo, General Mills, Tyson Foods and Mondelēz International, to name a few.

Industry data shows that upwards of $1.1 trillion is lost globally to food waste, representing 8 to 12% of revenue lost to spoilage and overstock. And as consumers become more demanding and markets become more complex, companies need advanced agentic technology to help their inventories meet dynamic demand to avoid an increase in discarded products.

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This move exemplifies F&B's shift toward data-driven decision making, where predictive analytics can drastically reduce production costs and improve product quality. Research indicates that 80% of new F&B products fail within two years, but predictive analytics can cut this rate by upwards of 45% with increased consumer insights and early exposure of market dynamics.

As Mark Lummas, Global Vice President of Client Success at mTab.ai, explains, "Incorporating predictive analytics into manufacturing and inventory management processes is becoming a game-changer for innovative F&B companies. It not only reduces downtime but also enhances product quality while delivering more precise inventory levels to meet demand dynamics."

These advanced analytics systems, like the ones mTab provides to F&B brands across the industry, integrate a spectrum of data sources, like POS, panel, social, survey and syndicated datasets to provide real-time insights, enabling faster decisions and increased ROI for F&B companies.

While the industry is still figuring out how to fully leverage these capabilities, the benefits are are becoming increasingly clear with a 25-to 35% improvement in promotion ROI and a 15 to 25% reduction in inventory costs within reach.

Learn why leading global F&B brands like Kellanova, Danone and Nestlé trust agentic insights to transform their fragmented data into decision intelligence and automated actions that maximize promotion ROI, predict consumer trends and optimize shelf performance.

Accelerate F&B Growth with AI Decision Intelligence.