Gorilla adds AI tools for energy retailers' margins
Fri, 2nd Oct 2026 (Today)
Gorilla has released new artificial intelligence features for energy retailers, expanding its Energy Margin Intelligence platform.
The launch comes as the business reports customer growth across the UK, Europe and North America, alongside broader investment by energy retailers in tools to track pricing and margin.
The new AI features are intended to help retail energy teams configure pricing, analyse margin movements and speed up implementation work. The tools sit within Gorilla's existing commercial data and calculation engine, allowing users to inspect and audit outputs against the same logic used for pricing, forecasting and margin calculations.
Users can access the AI functions within Gorilla's platform or through MCP connections to external tools including Claude and Copilot. Predefined prompts are designed to reduce the learning curve for staff working with complex commercial data.
The release is part of a broader expansion of Gorilla's product set this year. In July, it introduced a pre-billing calculation layer for industrial and commercial energy contracts, aimed at automating contract structures including blended rates, pass-through adjustments and Take-or-Pay calculations before data reaches billing systems.
Gorilla argues that this part of the platform gives retailers a clearer line of sight between contractual terms and billable outcomes. That matters in a market where suppliers are under pressure to protect thin margins while managing volatile wholesale prices, shifting customer demand and increasingly complex product structures.
Research findings
Gorilla also cited findings from its Energy Margin Intelligence Index 2026, an independently commissioned survey of 600 senior B2B energy executives in Europe. More than 90 per cent of respondents said they were confident in the accuracy of their margin reporting, even though many also reported delays or gaps in reconciling reported sales with actual financial margins.
Three quarters of respondents said siloed teams were a barrier to margin optimisation. Most also estimated that between six and ten per cent of annual revenue could be at risk because of poor margin visibility and slow decision-making.
The findings point to a disconnect between reported confidence and operational control over margin, an issue Gorilla says its software is built to address by linking commercial decisions more directly to financial outcomes.
Recent customer wins have added to the company's expansion. In August, US renewable energy supplier CleanChoice Energy selected Gorilla's matrix-based pricing system to extend its acquisition pricing across competitive retail markets including PJM and NYISO.
In Europe, Luminus renewed its agreement with Gorilla for another three years after using the company's B2B pricing and forecasting tools. Gorilla has also previously named Engie and ScottishPower among its clients.
"Energy retailers are operating in an environment where volatility and complexity have become permanent features of the market," said Ruben Van den Bossche, Co-Founder and Chief Executive Officer of Gorilla. "What we're seeing from customers is a shift from simply reporting on margin to building their commercial operations around it. CleanChoice is a great example of that, transforming their pricing capabilities and building a more agile commercial engine."
Product push
The latest AI functions are designed to support that shift without replacing commercial judgement. Instead, the tools are intended to help teams trace the drivers behind a price, explain margin movements across contracts and identify data or calculation errors during implementation.
Joris Van Genechten, Vice President of Product & Engineering at Gorilla, said trust and auditability are central to adoption in energy retail. "Energy retailers already trust Gorilla with the calculations behind their margin," he said. "AI must meet that same bar by taking the cumbersome work away and leaving the judgement with the retailer. Because our AI is grounded in the structured commercial data and logic already running their business, it can help retailers bring better propositions to customers faster without giving up the flexibility or integrity of the data behind their pricing."
Gorilla's growth this year has also brought external recognition. The company won Best Product for Energy & Utilities at the 2026 SaaS Awards, which recognised its effort to connect pricing, trading, risk, consumption, settlements and finance data in a single commercial view.
That positioning reflects a wider trend in the energy sector as retailers move away from stand-alone reporting tools towards systems that combine pricing, forecasting, contract management and finance data. Suppliers are trying to reduce leakage between frontline sales decisions and realised margin, particularly in business energy, where contracts can include highly specific pricing terms and pass-through components.
"AI will change what energy retailers can do, but it doesn't remove the need for strong commercial foundations," said Van den Bossche. "The opportunity is to combine connected data, consistent commercial logic and margin intelligence with increasingly capable AI, moving from understanding what happened, to deciding what to do next, and ultimately to governed action."