One of the clients needed to keep a track of the excess or shortage of health inventories. It was thus of utmost importance to build an automated system to check the flow of inventories on a daily basis and also identify the inventories which are unproductive.
CASE STUDIES
Identification of correct level of Health Inventory
SUMMARY
METHODOLOGY
• Consolidation of the health inventory data
• Identification of the underperforming inventories
• Choosing the right mix of the products for inventories using Artificial Intelligence
• Daily reporting on a dashboard
TAKE AWAYS
• Stocking of correct mix of products
• Redistribution of underperforming inventories
• Dashboards to make better business decisions
END RESULTS
Addressing the underperforming inventories and optimisation of the right mix thereby increasing the revenue generated.