For B2B energy retailers, every deal is priced with a target margin in mind. Knowing whether each contract is still delivering that margin is the hard part: forecasts update, meter data replaces estimates, sites leave, and the market curve moves. The numbers that show where it stands sit across sales, forecasting and finance, and are slow to pull together. 

"Margin isn't a finance problem. Commercial teams in energy retail are accountable for a moving target right through the contract's delivery. Settlement tells you the book is off, weeks or months after delivery, but not which contracts or why. By then, the same assumptions have already gone into the next round of pricing and renewals. Explorer puts every team on the same numbers while there's still time to act."  - Ruben Van den Bossche, CEO, Gorilla

Net portfolio margin

2.41%-1.88pp

£6.22m on £258.0m revenue

Delivered

72%

Below floor

38of 1,284

✦AI Contract Analysis

Reasoning

72% of the margin on this view is locked in — £11.6m settled, the rest still a forecast. A further 4% awaits settlement, and 214 contracts sit within the allocation model.

Explorer stores the margin a retailer priced at signature, then recalculates it as costs, forecasts and meter data change, and keeps the history of what moved and why. Every team works from that one source, broken down by customer, segment, contract or meter. This first wave of capabilities is now available for fixed-price contracts and allows retailers to:

• Inform planning and future pricing with evidence from the secured book. Review recalculated margin against targets and investigate gaps before carrying the same assumptions into new plans and quotes.
• Make cost attribution and margin variance meetings about decisions, not defending numbers. Every recalculated margin comes with its calculation and change history, helping commercial and finance work better together.
• Put analyst time into recommendations, not data preparation. Bring results and history together so teams spend less time assembling evidence and more time deciding what to do next.
• Accelerate investigation and decision-making with AI. Connect the Gorilla MCP to explain margin movements, faster, with the evidence available to check

“The first contracts are now live with our lighthouse customer. The real effort has gone into the data foundations: every number traces to the calculation behind it, so retailers can trust it, build on it, and ask questions of it through the AI tools they already use.” - Joris Van Genechten, VP Product & Engineering, Gorilla 

Together, these capabilities help retailers see emerging risks to gross margin sooner, before the same assumptions carry into future pricing, risk premiums and renewals.