To thrive in today’s fuel market, you need to be agile. This helps you keep pace with competitors’ prices and wider market events, and it enables you to capitalize on money-making opportunities when they arise.

But you can’t do this alone. In fact, relying solely on human resources to make manual pricing decisions is inefficient and costly. The artificial intelligence built into Kalibrate Fuel Pricing empowers you to manage pricing across multiple locations, even from a small, central team.

You need the right software to give you the right insights at the right times, and that’s exactly what Kalibrate Fuel Pricing does – highlighting opportunities to lift your bottom line, support other areas of your business, and increase your profitability.

Kalibrate Fuel Pricing has a proven track record of increasing profitability for fuel retailers. A full trial will demonstrate the return on investment that Kalibrate’s recognized AI will generate.

After engaging with our team, we will research your company’s pricing capabilities and identify areas where improvements can be made, at the right stage in our mutual interactions.

Within a week of initial research, we will apply our extensive understanding of industry best practices to produce a detailed report for you, laying out the possible enhancements and how to go about making them.

Alternatively, you can use this quick and easy calculator to instantly see the cost benefits of switching to Kalibrate Fuel Pricing’s automation system.

Across varying markets, sizes and countries, we have installed more than 120 instances of Kalibrate Pricing, and there are multiple ways to determine whether this fuel pricing system is right for you.

We can share the outcomes of comparable successful trials that we have completed in the past, to mitigate the need for you to dedicate time and resources to trialing a new system.

We can set up a half day workshop with one of our experienced team members and 1 week test drive of the system so that you and your team can ensure that Kalibrate Fuel Pricing works with your processes and meets your criteria.

For organizations that require further proof, a full 12 week trial can be held with live pricing to effectively measure improvement against your existing fuel pricing processes.

We have fuel retail clients in over 40 countries who send 600,000 prices a day to over 65,000 sites. Our largest integration to date covered 6,500 sites.

Many of our clients have relied on the platform for three years or more and we can arrange for you to talk to some of them, ahead of moving forward with your project.

Yes. Kalibrate Fuel Pricing has more functional depth than any other pricing product on the market, which facilitates extremely flexible pricing profiles to form the tactics to deliver your pricing goals. And because it’s under-pinned by cutting-edge science and deep market expertise we can work with you to help you develop your optimal pricing strategy.

Mathematical optimization is an excellent tool in your pricing armory and can be used to gain additional profitability across margin and volume for large segments of your network. 

However, not all sites are suitable for optimization, it isn’t a “one size fits all solution”. Perhaps there is limited competitor data for a site (our patent pending data enrichment process can help here) or not enough variability of pricing in the market to infer a price scientifically. Where we can’t help you to scientifically optimize prices, you can use our extensive rules based library to derive optimal (rather than optimized) prices. 

 This Fuel Price Optimization 101 whitepaper will help you to understand more about fuel price optimization and how to select the right sites. 

AI works by combining large amounts of data with fast, iterative processing and intelligent algorithms, allowing the “machine” to learn and adjust automatically to perform human like tasks.

The machine learning and AI in Kalibrate Fuel Pricing means you benefit from smart inference of missing data, price sensitivity creation, and demand forecasts including demand period detection. It also automates model build and learning, and gives you feedback on data readiness and model health. The models in Kalibrate Fuel Pricing have been tried and tested in fuel retail pricing, and can help you measure customer reaction to price and provide market ready price recommendations. And as back up if optimization isn’t suitable, it has rules-based back up strategies.