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Vision

Every purchasing decision begins with one question: how much will sell. An estimate that is too high ties up capital in inventory; one that is too low leads to stockouts and sales lost to competitors. Demand forecasting makes it possible to answer that question with data rather than intuition. According to McKinsey, AI-driven forecasting reduces error by 20 to 50% and cuts sales lost to stockouts by up to 65%.

A forecasting tool analyzes sales history, identifies trends and seasonality, and projects the coming weeks for each product. From that projection, it calculates the appropriate safety stock, when to reorder and how much to buy from each supplier.

Varsel was created with one vision: that every company can anticipate its demand and make decisions with accurate information. To do so, it uses a range of forecasting methods and applies to each product the one that best predicts its behavior. The forecast is the starting point: from it, inventory, purchasing, marketing campaigns and cash flow are planned in one place. Results are presented in clear language, and an AI advisor answers questions about the analysis itself, so that anyone in the company can use these tools without expertise in data analysis.

Source: McKinsey & Company, 2022 ↗