Heineken

FMCG · Netherlands / International

5% sales uplift

Heineken's AI sales coach AIDDA supports 3,700+ reps across 8 markets with real-time customer intelligence

AIDDA advises sales representatives in real time on which customer to visit next, which products to recommend, and when a customer is at churn risk. Demand forecasting runs in parallel on the same data platform.

Friction

Sales reps made decisions on intuition and experience without real-time customer insight. Distribution inefficiencies led to overstock in some regions and shortages in others. Personalisation outside e-commerce in FMCG and hospitality was essentially non-existent.

Breakthrough

AIDDA recommends next-best customer visit, product mix, and churn risk signals. The DataPrime platform connects 70+ operating companies and integrates into existing CRM and B2B platforms. Demand forecasting models run on the same infrastructure, improving inventory decisions simultaneously.

Impact

5% sales uplift in Mexico in year one, where 80% of orders are now placed online. Demand forecasting improved by 25%. Transport costs down 15%. Peak season mis-sells down 20%. AIDDA scaled to 8 markets in 2024, supporting 490,000 daily customer interactions and 3,700+ sales reps. 0.6 billion euros in gross savings in 2024, above the 0.5 billion target.

Unlock the full analysis with breakthrough, impact, what made it smart and its technical approach below!

Name

Organisation name

Problem

Heineken's commercial operation spans 165+ breweries, 70+ countries, and daily contact with hundreds of thousands of hospitality and retail customers. Without data-driven guidance, sales reps defaulted to relationships and gut feel, leading to inconsistent performance and missed opportunities.

What made it smart

Combining a sales AI with demand forecasting on one integrated data platform means improvements compound. Better forecasting improves inventory, better inventory reduces stockouts, fewer stockouts improve sales. AIDDA is not just a tool for reps, it is a commercial operating system.

Technical approach

ML models on CRM and sales data for churn prediction, price discrepancy detection, and route optimisation. DataPrime platform harmonises data from 70+ operating companies. Integrated into existing CRM tools and B2B platforms so reps see AI recommendations inside their existing workflow.

Strategic lesson

Sales AI is most powerful not as a standalone tool, but as an integrated signal layer inside the workflow where decisions are actually made, reducing friction between insight and action to near-zero.

Reflection question

How much of your frontline team's decision-making is based on data versus intuition, and what would a 5% improvement in sales decisions mean at your scale?