Sales forecasting


The problem

Sales forecasts are used in many contexts. They are a corner stone in revenue management solutions to determine dynamically the optimal price of perishable goods, they are used to plan logistics, to make business decisions etc. Given the typically large number of forecasts, R&D departments often struggle to get an overview of the quality of the forecast output. However, bad forecasts lead to sub-optimal business decisions, lost opportunities and lower revenue.

Our solution

With Yields, we monitor the quality of each individual forecast. Our dashboards automatically report all anomalous forecasts, indicating root causes and suggesting improvements. By using our platform, the overall quality of the forecasts improves leading to increased revenue.

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Interested in a demo?

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