Fuel Distribution

Solution for early recognition of regular gas station visitors

Core challenges:
Using video analytics, record all vehicles entering the gas station, including those not refueling.
Recognize the faces of all visitors and then compare them with purchase data.
Build robust visitor profiles based on the collected data.

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Problem

Large gas station chains are actively developing shop and cafe services, so it is important to attract more customers to these areas. To do this, marketing needs operational information about visitors: who they are, whether they are regular customers, and what offers will be most relevant.
Technology Used

Video analytics
(Face recognition / Object detection and recognition / big data)
Math modelling
Desktop applications

Problem Solving

Data systematization:

The client received easy access to information about visitors for further analysis.

Data collection automation:

The marketing department received tools to create and test interaction strategies.

Loss minimization:

Quickly detect errors during refueling thanks to audio analysis and car recognition.

Personalized offers:

Using purchase history for more relevant recommendations that increase the likelihood of sales

Improving customer experience:

Ensuring fast and high-quality interaction with the customer, which builds loyalty and satisfaction.

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