Unique combination of algorithms to cleanse the data and predict the demand based on Sales history and various predictors generates a very good starting point. Enables easy collaboration subsequently through top down or bottom up approaches to generate Primary and Secondary unconstrained Forecast.
Key Features
- Statistical Forecasting - Multiple Statistical Forecasting Techniques to address Seasonality, Trend and Cyclic Behaviour. Selects best technique for each SKU at each Location. Cleanse historical data to remove errors, outliers etc.
- Multi-Level Forecasting - Enables top-down, bottom-up consensus demand plan. Ability to aggregate and disaggregate demand at any level. Collaborative Forecasting between all the stakeholders.
- Configurable Hierarchy and Workflows - Configurable product and organization hierarchies and workflows for bottom-up, top-down and mid-out consensus.
- Primary Sales Generation - Generate accurate primary sales using Secondary Sales and Customer Inventory
- Measure - Monitor forecast accuracy using methods (Volume Error, MAE/Mean, Bias etc.).
- Ease of Use - Easy drag & drop, configurable views, excel like working environment, offline working etc. to ensure seamless user experience.
Deliverables in a Snapshot
Some Case Studies
Indian Arm of a Large Packaged Food Manufacturer used rhythm Demand Planner to expedite the Planning Cycle and Improve overall monthly forecast accuracy through consensus based forecasting.
A mid sized Industrial Engineering Customer improved its Forecast accuracy by over 15% through Forecasting Engine and Collaborative demand planning.
