Intelligent inventory allocation solution helps firms assigns scarce inventory
Objective:
Develop an inventory allocation tool to ensure right rationing of constrained inventory to the right locations and customers
Key Challenges Addressed:
The solution provides data driven recommendations for the following challenges and issues
1) Which customer orders do I allocate inventory against?
2) How much do I allocate against each order?
3) How do I plan for future orders?
How do we address your challenges:
The solution provides the optimal inventory allocation by
1) Segmenting customers based on volume, margin, recency & order frequency, relationship and industry
2) Allocating available inventory to hot regions and most profitable customers
3) Aligning with user preferences while learning from previous manual overrides
Pilot outcome:
An inventory allocation tool which can map the appropriate inventory quantity against each customer order
This implementation uses the following native Azure components:
1) Azure SQL
2) Azure Databricks
3) Azure Synapse
4) ADF
5) AzureML and Azure DevOps
Weitere Informationen
Intelligent Inventory Allocation Pitch Deck Intelligent Inventory Allocation One Pagerhttps://store-images.s-microsoft.com/image/apps.32732.203b58a5-9689-40f5-93fa-1d245ed7d855.ff334a18-8f3d-4a51-a881-93d51e7db0ac.e8a3e1ac-2f17-4b14-ae77-1634edcbb941
https://store-images.s-microsoft.com/image/apps.32732.203b58a5-9689-40f5-93fa-1d245ed7d855.ff334a18-8f3d-4a51-a881-93d51e7db0ac.e8a3e1ac-2f17-4b14-ae77-1634edcbb941