SMART Demand Forecast - 2026 Pricing, Features, Reviews & Alternatives

SMART Demand Forecast is a demand forecasting software system based on machine learning and artificial intelligence algorithms. It is designed to predict regular and promotional sales within retail and supply chain operations. The solution processes large volumes of data to identify dependencies and trends that traditional methods may overlook. It is intended for retail businesses and organizations managing inventory across multiple locations and coping with promotional campaigns, changing consumer behavior, and fluctuating market factors. By automating the forecasting process, the system reduces operational burden on supply chain teams and allows them to shift focus from tactical execution to strategic planning initiatives.

The system delivers comprehensive forecasting capabilities across core functional areas. The analog product feature supports forecasting for new items and locations by leveraging artificial intelligence driven selection of comparable products when historical data is insufficient. The modeling feature enables rapid generation of demand forecasts for both regular and promotional scenarios and allows creation of multiple scenarios with varying promotional conditions to compare potential outcomes. Anomaly processing automatically identifies and smooths irregularities in data with options for manual adjustments when automatic smoothing does not apply. Users can configure table views to match business requirements, import and export analog product data, filter products by hierarchical levels, and assign product or store analogs as benchmarks.

Additional capabilities include multi model forecasting across scenarios and selection of forecasting periods with flexible time aggregation for daily, weekly, monthly, or yearly analysis. Manual forecast adjustments based on expert evaluation provide further flexibility in adapting to specific circumstances. The analytics suite offers forecast decomposition to assess the influence of seasonality, trends, and promotions and forecast quality analysis to identify model weaknesses. Historical sales analysis uncovers trends and key drivers, data quality analysis detects gaps or errors, and ABC XYZ classification facilitates inventory prioritization. Product stock analysis supports procurement optimization and reporting is delivered through integrated Power BI dashboards providing real time visibility into forecast performance, sales retrospectives, data quality, promotional effectiveness, and compensated sales analysis.

SMART Demand Forecast operates within the Microsoft ecosystem and is hosted on Microsoft Azure to ensure secure data exchange and compliance with data protection standards. Integration connectors enable connection with Microsoft Dynamics Business Central, Microsoft Dynamics Finance and Operations Applications, Microsoft Office, and Teams without extensive custom development. The implementation follows a three phase approach beginning with a pilot project encompassing goal setting, key performance indicator definition, business process documentation, database assessment, and model preparation. This is followed by product testing that includes integration configuration, infrastructure deployment, user training, and results evaluation. The final phase covers system launch and ongoing support for scaling and functionality maintenance.