Automated data-driven forecasting engine that automatically selects the best forecasting method for each SKU
1. Near just-in-time inventory control slashes carrying costs: Accurage forecast allows for leaner operation both at the inventory level as well as labor planning. Subsequent add-ons can penalize over- and under- inventory differently in order to deliver optimized tactical recommendations.
2. Teranalytics Forecast.AI hides the complex analytics in the backend and provides the user with an intuitive and simple to use interface, with cloud-based computation for speed efficiency.
3. The two-step approach ensures high accuracy at the desired aggregation level (at the SKU level or more broadly by geographies, by customer types, etc).
Step 1: Project. Important historical parameters are projected in time using advanced time series analysis.
Step 2: Combine. The projections are incorporated into machine learning models that are self-correcting and error bound.