Finished Goods Waste Reduction - Powered by Discovery

C5i

Identify causes of waste across different levels and build predictive alerts across supply chains to reduce finished goods and resource/material waste like stales, damages, returns, etc.

Waste across within supply chains is an ongoing challenge across industries/organizations, driving a strong need for data analytics solutions to tackle its reduction, and hence are keen to look out for data analytics solutions for its avoidance. The solution we offer helps to integrates diverse data sets related to waste generation and provides a diagnostic and predictive view of it.

The solution also provides recommendations to responsible personas for taking proactive measures for the reduction of waste. In summary, the solution is a forward-looking view of the inventory that has a high propensity to go to waste, provides recommendations for pre-emptive actions to reduce it, and tracks the impact of proactive actions.

The Finished Goods Waste Reduction (FGWR) Model is integrated into the client’s Microsoft Azure infrastructure. The source data is first integrated with the client’s Azure delta lake using Azure Data Factory. This data is further then cleansed and transformed using Synapse or 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 via an interactive Power BI dashboard.

Outcome:
Reduce finished goods waste by 30%-40% across sites with predictive alerts across the supply chain.

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