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, 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
Automated insights generation from connected enterprise and external data
Descriptive, Diagnostic, Predictive, and Prescriptive Analytics driving actionable insights
Persona-based approach to provide contextual insights on near real-time basis
High adoption with curated natural language insights available on chat, voice, enterprise BI platforms, executive presentations, emails, Teams, Slack, etc.
Tracking of impact of decision-making on key performance indicators (KPIs)