Fuel network planning

When you’re assessing new sites, upgrading locations, or optimizing your network, it’s critical to understand the factors that contribute to performance.

Strategic insight to master your fuel market

Today, there are more data and sophisticated modeling methods than ever to inform the fuel network planning process. Relying on gut feel is no longer an option. The insight and tools are available to remove the guesswork and add certainty to your decisions.

Assessing locations and understanding potential

Opening new gas stations – whether through green-field development or acquisition – is expensive, so it’s critical that teams making capital investment decisions are equipped with the right capabilities in order to:

  • Project demand to understand which sites are likely to deliver the best return
  • Benchmark against your existing sites and your competitors’ to spot untapped potential
  • Simulate how changes in population, and new housing or retail developments could impact demand

For many years, fuel network planners relied on ‘gut feel’ to validate their decisions. Today, advanced scientific modeling can provide certainty that your strategy is the right fit for your brand and your market.

Optimizing a fuel network to maximize profitability

The myriad of factors impacting performance makes optimization a challenging part of any fuel network planner’s role. The best practice approach to network planning includes the ability to:

  • Identify underperforming sites and the factors holding back their performance
  • Simulate the effect of site upgrades, such as adding more pumps, QSR, or enhancing your convenience offering
  • Model network rationalization to understand the impact of closing sites and the volume your remaining locations can expect to acquire

Robust strategic planning ensures both site level and portfolio level decisions are correct for your markets as they are today, and how they will be long into the future.

Assessing acquisitions to validate capital investment

With much consolidation and divestment among larger portfolios in recent years, there’s been a raft of acquisition opportunities for network planners to evaluate.

  • Understand how acquisitions align to your strategic investment area, considering supply and distribution costs
  • Spot potential underperformers that could deliver higher volumes and revenue with capital investment or reconfiguration
  • Model cannibalization and how your existing sites would be impacted, and how adding new sites to a portfolio would impact network performance overall

Acquisitions represent a fast way to extend reach in a new market, grow efficiencies in existing markets, as well as add revenue. It’s critical to understand how an acquisition complements your current portfolio as part of your wider planning strategy.

Kalibrate’s approach to data sets up apart. We combine and validate our own site survey data, granular traffic and demographic information and your own data to build a rich database of your market area.

Kalibrate’s approach to data sets us apart. We combine and validate our own site survey data, granular traffic and demographic information and your own data to build a rich database of your market area.

  • Site attributes — Targeted data collection specific to a site’s characteristics and offerings. 100+ datapoints specific to fuel, c-store, quick service restaurant, EV, sales, and volume performance
  • Traffic — Proprietary global traffic database. Traffic data is enriched through road network data, congestion metrics, and sophisticated modeling
  • Demographics — Basic and advanced demographic datasets including household and population density, number of vehicles, and average income. Customer segmentation and other advanced demographic datasets are available
Our modeling is future-proofed allowing us to incorporate new modeling techniques as they become available, to ensure the highest level of accuracy is maintained as markets and data evolves

Our modelling is future proofed such that it’s allows us to incorporate new modeling techniques as they become available, to ensure the highest level of accuracy is maintained as market and data evolves

  • Kalibrate uses sophisticated AI/machine learning driven science to select the best fit algorithms for a selected market, product and data set
  • The application of AI/Machine learning allows for quicker turnaround of new models with varying data inputs
  • Varying data inputs allows Kalibrate to have more flexibility around both site attribute and demand data included in the model. The means clients can make the strategic decision of what data to use in which markets
Getting the data and methodologies right will take you so far – the specialist knowledge of our team is what helps you go further.

Extensive experience in fuel planning

Many members of our product development and customer success teams previously worked client-side in fuel planning roles, making strategic location decisions every day.

Working globally

Working in over 70 countries across the world, our team have extensive experience in markets at all levels of maturity and development.

Ready to make better fuel network decisions today?

Speak to a member of the Kalibrate team

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