Kalibrate’s fuel price optimization works exclusively with your own data, strategy, and business goals. Each retailer’s instance is entirely separate, with no shared data or models, and no interaction between competitors. Your pricing decisions are based on your strategic rules, just as theirs are based on theirs. This means there’s no risk of an endless “AI pricing battle.” Kalibrate is committed to protecting your data, your brand integrity, and the wider fuel retail market. The constraints in place around Kalibrate’s models safeguard against harmful or extreme pricing, ensuring customer trust remains intact.

Absolutely. Kalibrate doesn’t recommend prices or act without direction. You set the guardrails. Including flexible rules and constraints that reflect your pricing strategy. For example, you can ensure prices are never the highest in the market, always above cost by a set margin, and capped at a specific level. The model works as an extension of your team, running countless “what if” scenarios at speed to identify the most profitable price. And you remain in control, choosing which sites use optimization and which don’t.

Yes. Unlike “black box” systems, Kalibrate provides full visibility into how pricing recommendations are generated. You’ll see the factors influencing your price points, like elasticity models and volume forecasts, so you can understand, trust, and act on the insights.

Fuel price optimization can be highly effective, but only when supported by quality data and suitable market conditions. Some markets have competitive dynamics that don’t lend themselves to machine learning strategies. Kalibrate’s team can help assess which of your sites are best suited for optimization and where human expertise should remain central. With customers in 20+ countries across 4 continents, Kalibrate understands diverse market conditions, brand strategies, and pricing complexities — and will work with you to ensure optimization is applied where it delivers the greatest impact.

Not at all. Once your data is flowing and your pricing strategy is configured, Kalibrate’s optimization models can operate autonomously across selected sites. The models update daily to reflect recent sales trends and adjust monthly to refresh price elasticity estimates, ensuring recommendations stay relevant and responsive. The system applies your rules, runs simulations, and generates optimized pricing suggestions – all without requiring data science expertise or manual effort. You can choose to review outputs or let the system publish prices directly. This hands-off approach saves time, scales decision-making, and keeps your pricing aligned with real-world conditions.