The Situation
Business Problem
The manufacturer struggled to generate precise sales forecasts and to execute effective demand planning. Inaccurate forecasts led to excess inventory in some lines and shortages in others, with direct consequences for customers and revenue.
The Challenge
Forecasting had to draw on data held in several systems—customer relationship management, enterprise resource planning, and third-party market sources—of uneven quality, and had to stay accurate across multiple product lines and regions as conditions changed.
The Solution
Data Products built an advanced forecasting capability for sales and demand planning: integrated and cleansed data, machine-learning forecasting models across product lines and regions, seasonality and trend analysis, real-time updates as new data arrived, and dashboards for the people who plan.
- 01Data integration and cleansingUnified information from CRM, ERP and third-party market sources to standardize data quality and reliability.
- 02Advanced forecasting modelsPredictive, machine-learning models to project sales and demand across multiple product lines and regions.
- 03Seasonality and trend analysisCyclical patterns, growth trajectories and external forces, including economic data and competitive shifts, built into the forecasts.
- 04Real-time forecast updatesModels that refresh as fresh information arrives, keeping forecasts current through the operating cycle.
- 05Performance dashboards and reportingInteractive views of current forecasts, demand trajectories and stock levels to support decisions.