Industries — Fuel retail
Your network already has the data — ERP, POS, loyalty, GPS, depots, BI, spreadsheets. What is usually missing is connectedness: the network runs on people, calls, manual reconciliation and the experience of individual managers, while the data you have piled up does not yet work for your decisions.
See the full transformation map →
How the path runs
AI agents are not installed on top of chaos. Every block of the network economy climbs the same way — start small on data you already have, build the foundation as you go. You do not need to be at the top to begin.
Quick to launch on the data you already have. A clear effect without a big process change.
Need more mature data, integrations and models. A bigger effect from optimizing decisions and processes.
End-to-end solutions and AI agents that run on top of the foundation. The person sets the rules and controls the result.
Engagement starting points
The effect runs across the whole network economy — procurement and margin, pricing, logistics, stations, finance and control. We start where the diagnostic points.
Procurement and price run as one commercial loop — forecast the need, choose supplier and moment, account for the full landed cost of a batch, set price-at-pump by market and demand.
Fuel supply made manageable end-to-end — batch movement, delay risk, acceptance discrepancies, railcars and demurrage, depot operations, station delivery, trip execution.
The station run as a profit point, not only an operational object — underperformance, queues and lost traffic, dispenser and POS violations, shift work, equipment, assortment, store conversion.
The customer base and B2B portfolio turned into a managed source of growth — customer value, churn, frequency and check, promo, reviews, retail media, corporate-client profitability.
Finance sees the business as a live picture and finds the cause of a deviation faster — margin, costs, cash, receivables, payment risks, financial losses and policy violations made visible early.
The routine taken out and control strengthened across the functions that support the business — HR, legal, MTO procurement, contractors, internal control, documents and back-office.
The foundation analytics, automation and AI run on — one data base, quality and availability, reporting, knowledge search, office AI tools, process re-engineering and agentic solutions.
How we work
Start with clear use cases, then build out the data, processes, models and agentic systems behind them.
Every initiative answers to margin, losses, working capital, revenue, service, or team efficiency.
We set the priorities, the data, the dependencies, the pilots, and the next realistic step for your network.
Two weeks to find where data and AI can move the numbers in your network — procurement, logistics, stations, finance — and what to build first.