Client Objective
A recipe for improvement. A global food & beverage company was seeking to streamline its inventory forecasting and ordering for one of its key geographies. They needed models that could predict correct ordering.
Unique Challenge
Foamy predictions. The company had invested in a series of statistical models that were essentially a “black box” to the users with no clear understanding of how they were trained or how to tune or add features. The models were becoming stale, and the company began to see a mix of returns due to incorrect ordering resulting in significant losses for the company.
Bespoke Solution
A blend of innovation. Unify team members partnered with the client to assess the current-state environment and define the next steps. The Unifiers developed the end-to-end MLOps environment and process design enabling the team to efficiently deploy and update models based on changing business needs and market conditions. Another refreshing improvement? New features were also now easily available and accessible.
Proven Impact
Brewing up savings. Using the new MLOps design, the team was able to quickly develop, test, train, and deploy new models at the SKU and store level, something that wasn’t possible before. This led to the client selecting a best-fit scoring model that led to a $4M savings in inventory returns. They were drinking up the delicious results.
To learn more about Unify’s proven impact and custom solutions, contact us today.
