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How a meat and charcuterie company improved promotional ROI through promotion optimisation models based on Big Data & AI

A major manufacturer was struggling with persistent challenges: most of their trade promotions were generating negative returns, baseline margins were being eroded by excessive discounting, and decision-making relied heavily on intuition rather than data.
With hundreds of promotions executed annually across key retail partners, the company needed a systematic approach to optimize their trade spend and restore profitability.

We developed an AI-powered platform combining predictive analytics with scenario simulation, capable of evaluating past performance while enabling forward-looking simulations.
By combining historical data with predictive modeling, we created a system that could identify the true drivers of promotional success and failure.
It also enabled teams to test promotions before execution, understanding not just whether a promotion worked, but why.

Diagnostic Analytics: a detailed assessment of historical promotions, revealing patterns in performance across product categories, retailers, and mechanics
Simulation Tool: an interactive platform allowing teams to model the financial impact of proposed promotions before execution. The tool provided instant feedback on projected ROI, helping users refine strategies in real time
Automated Data Integration: a streamlined process for consolidating sales, cost and promotional data into a single system. This eliminated manual reporting delays and ensured decisions were based on the latest available information

in promo margins

underperforming campaigns

Faster, data-driven negotiations with retailers

By combining deep data insights with intuitive tools, we created a system that was both powerful and accessible—ensuring adoption across commercial teams. A scalable, user-friendly platform that integrated advanced analytics with practical decision support.
The solution’s flexibility allowed for continuous refinement, incorporating new data sources and evolving business needs. Over time, it became the foundation for broader commercial strategies.