What is it
Sales Forecasting is a predictive data analytics tool that enables accurate forecasting of sales across different time horizons (daily, weekly, monthly) by leveraging historical data, seasonality, promotions, market trends, and external variables. The system is powered by advanced machine learning and deep learning models, and is designed to support decision-making teams with robust forecasts, even in highly dynamic environments.
The solution provides a tangible answer to the growing need for AI-driven demand forecasting in retail, large-scale distribution, logistics, and all demand-driven sectors.
To get started
To test the tool’s performance, it is sufficient to provide historical sales data by product, category, or point of sale, along with any relevant information (prices, promotions, events, weather, etc.).
Any external data can be integrated later following an initial analysis of requirements.
Benefits and Key Features
The tool is applicable across multiple industries and can be tailored to a few targeted products, aggregated groups, or thousands of items.
The model accounts for seasonality, external events, and specific cycles, providing robust and responsive forecasts even in volatile scenarios.
The architecture is flexible and can adapt to new data sources as well as changes in product or demand structures.
Output
The tool enables you to:
- Accurately forecast future sales by product, channel, or geographic area
- Optimize production, procurement, and inventory planning
- Reduce overstock and stockout costs
- Integrate forecasts into business decision-making systems, with automatic updates and alerts for significant deviations
Questo prodotto è disponibile anche in modalità di outsourcing.
Contattaci per avere dettagli sulle modalità di utilizzo dei servizi D-SaaS.
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