FORECAST DEMAND ACCURATELY AT GRANULAR LEVELS
STREAMLINE DEMAND PLANNING PROCESS AND LEVERAGE SCIENTIFIC TECHNIQUES TO FORECAST YOUR DEMAND
Demand Forecasting for Modern Supply Chains is Complex
Lack of scientific demand forecasting approach and low process maturity can lead to sub-optimal fulfillment rates and high inventory levels.
- The following key challenges might be impacting your demand forecasting accuracy
- Data Infrastructure: Accurate demand forecasting relies on availability, quality and quantity of data and the right technology infrastructure for data management.
- Market & Seasonality: Seasonal demand variations, competitive landscape, complexity of market conditions, dynamic business trends and a variety of other factors can make demand forecasting complex.
- Collaboration: Lack of structured processes and insufficient collaboration internally and with business partners across the supply chain, can lead to sub-optimal forecasts
Forecasting Demand with Statistical and AI/ML algorithms
Our proprietary demand forecasting solution (DEM-SENSE), allows you to forecast demand accurately using multiple forecasting approaches and best-fit algorithms
- Multiple Forecasting Approaches: Our solution supports top-down, bottom-up and middle-out approaches and provides forecasts at a granular level on all dimensions (Product, Geo & Time)
- Auto-pick Best-fit Algorithms: Our solution has the ability to iterate multiple algorithms and and auto-pick best-fit statistical and AI/ML algorithms for a given approach
- Business Inputs: Our solution has the ability to capture data about business events like marketing promotions, new product launches, competition events and consider their impact on final forecasts.
- KPIs: Our solution has the capability to report accuracy and error KPIs to measure forecast performance.
- Process: Our process blueprints helps you streamline demand planning and S&OP processes to complement our demand forecasting solution.
Measurable Improvements to Forecast Accuracy
Our solution and consulting approach delivers quantifiable improvements to forecast accuracy and reduction in inventory levels.
- Our solution ensures accurate demand forecasting with the following benefits
- Optimized Inventory – right product with the right quantity at the right location to meet customer demand.
- Reduced Cost – save inventory, warehousing, transportation and logistics cost.
- Optimized Budgeting – correctly estimate production, marketing, and inventory costs