Main business driver
Overall impact analysis
Grow your margins with
Pricing Intelligence.
Fuel retail pricing optimization, across networks.
Pricing Intelligence gives fuel station networks a daily price recommendation, causally proven, explained in plain language, and safe to act on.
The system predicts the optimal price point per location and product, considering market landscape, competitors and internal conditions.
+12.4%
Gross margin growth
22000
Average incremental generated per station, per year
7 of 8
Product lines statistically proven
1¢ to 3¢
Average price move that drives results
Disclaimer: Results from implementation on 4-stations during 2025 period for a Fuel Retailer, based in Italy.
Capabilities
How can this help you price at the speed of your market?
IMEX EXPLAINABLE AI
One Prediction. One clear business decision.
See what is driving the outcome, how conditions interact, and which lever matters most
Breadth of influence
Connections across factors
Most impactful combination
Stronger factor interaction
1 decision
fully explained
Independent factor impact
Effect without interactions
Context that changes the result
Conditional relationship dependence
Risk amplifiers and reducers
Interaction direction
Avoid false conclusions - Find hidden causes - Prioritise the right action - Explain every decision
Six complementary analytical view examine both individual factors and the relationship between them
Not Another AI score, this is a clear explanation of what is happening, why it matters, and where to act.
Why Backwell Tech?
Local deployment
It is deployed on-premise, ensuring compliance with operational and security requirements.
Explainable by design
Every prediction includes its underlying drivers, expected impact and recommended response to ensure full automation transparency.
On-top approach
The solution connects to your existing systems and operational data, and runs on top of your processes, without disrupting them.
Optimize every pricing decision
See how Backwell Tech’s Pricing Intelligence predicts market movements and recommends optimal pricing strategies tailored to your network.
Request demoOur Backwell Algorithms
Backed by our scientific board
Optimum Algorithm
Suggests the optimal price to maximize profit margins.
Forecaster
Predicts market demand for a product.
Granger Class
Identifies whether a competitor leads the market (leader) follows it (follower) or behaves neutrally (neutral).
Industries
Built for networks with high volatility in raw material prices
Fuel Retail
Retail
AI-Driven Fuel Pricing: A Profit Optimization Impact Study
Impact Study
Breakdown of the landscape, process, implementation and business impact of Pricing Intelligence on a network of fuel retailers.