Case study: Supply Chain Demand Planning for a Global Consumer Electronics Company
About the Client
The client is headquartered in Netherlands and is one of the largest consumer electronics conglomerates in the world and a global market leader in the lighting products.
The client was looking for an end to end demand forecasting process to help the production planning team improve the functioning of sales and operational cycles.
BRIDGEi2i partnered with the client to improve production planning by deploying a demand optimizer solution. This lead to the operational effectiveness of S&OP cycle.
- The Data engineering team at BRIDGEi2i curated the data level to lessen the noise for a particular geography.
- They carried out the classification of the SKUs based on their attributes such as seasonality, trend, sparsity, and data availability.
BRIDGEi2i’s AI Labs created a conventional Time Series engine (TS) and build a regression model based Machine Learning engine (ML) to combine the best of TS / ML outputs for each of the SKUs based on past deviations.
BRIDGEi2i’s AI Labs and consulting team used the Demand optimizer to deliver more accurate forecasts for the production planning team.
Significant accuracy uplift over the APO forecasts at both quantity and revenue level