SMART Demand Forecast

Additional features

AI & ML-Based Forecasting – Delivers accurate demand predictions using artificial intelligence and machine learning algorithms.

Power BI Integration – Enables data visualization and analytics through integrated Power BI dashboards.

Analog Product Forecasting – Forecasts demand for new items or locations using similar historical products.

Forecast Decomposition – Breaks down forecast into components like trends, seasonality, and promotions.

Scenario Modeling – Allows simulation of different promotional or business scenarios.

Anomaly Detection & Smoothing – Detects and adjusts anomalies in historical sales data automatically or manually.

ABC-XYZ Analysis – Classifies products based on sales volume and variability to prioritize inventory management.

Manual Forecast Adjustment – Provides flexibility to override system forecasts based on expert input.

Inventory Optimization – Balances availability with inventory reduction to prevent overstock and stockouts.

Historical Sales & Data Quality Analysis – Identifies sales patterns and data issues for improved forecasting.

Multi-Model Forecasting – Supports various models for different product categories or scenarios.

Timeframe & Aggregation Selection – Enables forecast viewing by day, week, month, or year.

Import/Export of Forecasts – Facilitates easy sharing or integration of forecast data with external systems.

Table View Customization – Allows users to configure and save custom table layouts.

Input Data Quality Analysis – Highlights missing or erroneous input data affecting forecast reliability.

Sales Retrospective Analysis – Reviews past sales to inform and refine forecasting strategies.

Manual Adjustments After Smoothing – Enables expert intervention even after anomaly correction.

Filtering by Product Hierarchies – Supports drill-down and filtering of analogs by product or store levels.

Integration with Microsoft Ecosystem – Seamlessly integrates with Azure, Dynamics 365, and Office 365.

Product/Store Analog Selection – Assigns benchmarks for forecasting in new locations or categories.

Anomaly Aggregation Selection – Groups anomalies by time period for easier trend analysis.

Secure GDPR-Compliant Data Handling – Ensures personal and business data is handled securely.

Support for Regular & Promotional Forecasting – Handles demand fluctuations during sales or campaigns.

Forecast Export by Scenario – Exports individual or multiple scenario-based forecasts.

Training & Support – Offers onboarding, training sessions, and ongoing system support.