Identify the causes of waste across different levers and build predictive alerts across supply chains to reduce finished goods and resource/material waste as stales, damages, returns, disappearances, etc.
Data
Analytics
Insights
Actions
Outcome
Reduce finished goods waste by 30%-40% across sites with
predictives alerts across the supply chain.
“The insight provided is something our team is very excited about. We appreciate the work you’ve been doing in helping to get this up and running as well as your patience with the information we’ve been working to supply. The option you’ve helped to add with the alternative to review the position of the cases, as well as demand and how it compares with the ending inventory for the week, will be a big win for us.”
Finished Goods Waste Reduction with Augmented Analytics platform, Course5 Discovery
Client – Multinational Fortune 50 F&B Company
The Finished Goods Waste Reduction (FGWR) Model is integrated into the client’s Microsoft Azure infrastructure. Source data is first integrated with the client’s Azure delta lake using Azure Data Factory. The data is further cleansed and transformed using Azure Databricks and then fed into the FGWR Model. The output from the FGWR Model is used to generate actionable insights that are consumed by business users using an interactive Power BI dashboard.
Deliver relevant, actionable, and human-friendly insights across multiple consumption mediums and personas to create an insights-first culture that rewards data-driven decision-making
Speed-to-actionable insights reduced from days to seconds
45% increase in analytics adoption by use of generative and conversational AI
30% time savings with a single source of truth and Natural Language querying
~20% revenue impact with timely, data-driven decision-making
