The client is a century-old consumer food manufacturer from the Americas with a portfolio of 100+ brands being sold in more than 90 countries and manufacturing plants in more than 30 locations.
With more than 100 brands, it was complex and unpredictable to effectively balance between inventory, services, and sales. There was a nonscientific approach to maintaining the shelf-life of products and raw materials. There was no proper basis for key decisions related to maintaining inventory levels based on market conditions, often leading to stocking higher / lower inventory than actually required.
With the simulation of the supply chain network, the client has observed better network planning and a significant reduction in inventory wastage. Due to insightful analysis, it is now possible to predict and prepare for demand surges with minimum obsolescence. Specific algorithms to effectively analyze the shelf-life resulted in lower wastages and higher profitability.