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Athena makes merchandise demand forecasting straightforward by utilizing AI-first Athena Notebooks to assess historical sales data. Eliminate the need to code and use visualize sales trends and identify which products are in high demand, enabling effective inventory management and strategic planning. For the Formula 1 Red Bull Racing team, forecasting the demand for car parts is essential. By analyzing past sales data of critical components such as tires and engines, the team can predict future needs and adjust their inventory accordingly. This proactive approach minimizes downtime during races and ensures the team is prepared for each event, contributing to their competitive edge.

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Step-by-step Instructions

1

Add your dataset

Go to Spaces. Click on the + -> Upload button on the top left and upload your dataset into Athena.
2

Enter the Prompt

In the Chat interface, enter the following prompt and press Enter.
Load @your-dataset-name inside a new Notebook and perform a comprehensive Merchandise Demand Forecasting on it.
Make sure that the Assist persona is selected and click on the Toolkits button to select the Notebook toolkit.
3

Analyse results

The Notebook will be created with a complete forecast of merchandise demand. You can modify it by prompting Athena to do so.