Fuel Retailers and convenience Network Optimization
Our optimization of the refuel retail networks based on geolocated data is capable achieve, through the concerned analytics, the best locations for establishments. If you would like to evaluate competitors, cannibalization, and so on, keep watching! By means of this solution, your brand could grow faster.
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The fuel Retailers Industry has been characterized by disruptive forces and affected by environment and customer behavior, both: electric vehicles (EVs) and alternative fuels. In this scenario, became more and more important the need of being updated on all those changes and not act over on them.
The Locatium-based model algorithm is capable to tackle their most important challenges and capture their greatest opportunities through the power of data. We take into account the vehicle mobility data sets and combine them with points of interest, demographic data, and so on to evaluate the potential of the current network by optimizing them.
Being competitive and in the right location in your sector is a challenge. This is why we are proposing a solution based on the most powerful and updated data sets and offer the best way of reducing risks, saving earns, and increase in sales. We incorporate the dominant trends into smart business strategies.
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We analyze various sources of geolocated data globally. Among them are demographic, vehicle mobility, consumption and speed, finances, real estate, and many more in order to be able to assess the real potential of each location.
- We use artificial intelligence algorithms to extract the main value conclusions to design the best business strategy. In this way, we can detect trends, and opportunities and anticipate the future thanks to its predictive nature.
- We study the effects of omnichannel on business results, which involves electronic commerce and physical establishments, both our own and those of the main competitors, which allows us to have a 360º view of the business.
Advanced data analysis has become one of the most effective tools for designing store networks and making smart decisions. The retail sector should not be alien to this and include itself in an advanced management model that allows it to make the best business decisions. Here are the most relevant ones.
White Space Analysis
The blank spaces are those areas in which there is no presence of own businesses or competition.
Therefore it is convenient to study if these are areas in which it is worth investing or if it is better not to use resources in them.
Site Selection
The solutions that result in problems related to site selection are capable of choosing the best locations to shape a network of establishments within a specific geographic area. In this way, you make sure that they are efficient and will have an optimal return on investment.
Stores that do not present minimally viable results can also be identified to decide which ones to close or restructure.
Sales Forecasting
Thanks to the predictive capacity of intelligent geospatial data modeling, you can anticipate the future and get a fairly accurate estimate of the sales figures that each store will have.
This way, you can create strategies well in advance and ensure the best results when the time comes.
Demand Forecasting
It guarantees to always have in your establishment the products that your clients demand, for their greater satisfaction.
To do this, you will have accurate predictions of this demand at your fingertips, anticipating its peaks and valleys and making sure you have the right supply at all times.
Portfolio Optimization
You will be able to know with total reliability which products are the most successful and least successful in each establishment.
Information that will be extremely useful when you have to define the product catalog for each store, minimizing the risk of assuming costs involved in the acquisition and sale of barely requested products.
Cannibalization Analysis
The presence of nearby establishments of the same brand can have negative effects on the results of the store. In addition, the existence of other sales channels, such as e-commerce, can also reduce sales figures.
Analyze all these effects to avoid losing losses due to omnichannel cannibalization.
Capacity Planning
In all markets and geographic areas, there is a maximum number of establishments that can be installed. Beyond this, business results will suffer.
It makes it essential to know the degree of saturation of an area and its maximum capacity so that we do not make an effort that will not offer benefits in the future.
Cross-Channel Analysis
In an omnichannel scenario, as it predominates in the retail sector, it is very important to know the influence existing between all the existing channels.
Properly processed geographic data is a very valuable element for this, especially when identifying trends that are not using other more traditional techniques.
Visitation Analysis
Enjoy a solution that allows you to know in detail the habits and customs of the customers who access your establishment.
It monitors the most frequented areas, in which the public spends more time, the hours and days of greatest and least influx, consumption data, and many more variables of interest.
Customer Segmentation
Group your customers according to the most relevant characteristics of your business. Here sociodemographic, economic, and cultural variables come into play related to certain habits, etc.
So you can create offers and actions 100% adapted to their profiles, guaranteeing you higher success rates.
Competition Intelligence
For the success of your project, you must not lose sight of your closest competitors.
That is why you must have a trained tool to analyze their performance. From its results, you can design a more effective strategy.
Visitation Analysis
Enjoy a solution that allows you to know in detail the habits and customs of the customers who access your establishment.
It monitors the most frequented areas, in which the public spends more time, the hours and days of greatest and least influx, consumption data, and many more variables of interest.
Cross-Channel Analysis
In an omnichannel scenario, as it predominates in the retail sector, it is very important to know the influence existing between all the existing channels.
Properly processed geographic data is a very valuable element for this, especially when identifying trends that are not using other more traditional techniques.
Competition Intelligence
For the success of your project, you must not lose sight of your closest competitors.
That is why you must have a trained tool to analyze their performance. From its results, you can design a more effective strategy.
Customer Segmentation
Group your customers according to the most relevant characteristics of your business. Here sociodemographic, economic, and cultural variables come into play related to certain habits, etc.
So you can create offers and actions 100% adapted to their profiles, guaranteeing you higher success rates.
White Space Analysis
The blank spaces are those areas in which there is no presence of own businesses or competition.
Therefore it is convenient to study if these are areas in which it is worth investing or if it is better not to use resources in them.
industries to which this solution applies
our platform
The geographic data involved in optimizing the processes of the retail sector are not 100% usable if they are not properly visualized. For this reason, we have focused many efforts on offering a platform that allows obtaining information beyond pure data, with maps, tables, and graphs that speed up its interpretation.
Case Studies
Locatium technology opens up a world of improvement possibilities for retail, especially for Fuel Retailers offering cutting-edge technology and a unique mathematical model, capable of reaching all geographic segments in the most granular way possible, to help our clients grow faster.
Look what we have done for our Fuel Retailer clients around the world. Here you have some of our case studies.
We hope you found our content interesting. If you want to know in-depth everything we have told you to contact us. Do not think about it! Show us everything we can do with our data in your business sector.
