PriceCast Data Example

Introducing artificial intelligence can feel a bit like stepping into the unknown,

which is why it is essential that we are able to explain how and why the AI has come to a particular solution.


This example shows how PriceCast Fuel works. The AI is pricing the red line, and the blue and yellow lines are competitors. On the first day, the AI competed with the yellow competitor and then shifted focus to the blue competitor the next day. From this test we know that it increased by 4 CpG while keeping the market share, but how did it achieve this?

To explain the outcome, we need a fully connected model where you can fully trace the semantics behind the decision making.


In this example of an AI model from PriceCast Fuel you can calculate the price elasticity of the supply and demand on station product level down to the minute. Like with generative AI, the AI is trained on samples, but these samples are engineered to keep their semantics so that the end user can understand the reasoning behind the decision-making.

In this example a station has three competitors, but which one are they actually competing with?


This changes throughout the day. It can come down to location, offers and other facilities such as restaurants or schools nearby.

On Monday competitor one (navy) is the main competitor whilst on Tuesday Competitor 2 (grey) is the main competitor in the morning and Competitor 3 (red) in the afternoon.


Our expert team are on hand to guide you through the set-up process and beyond.

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