- Industry
- Process Intelligence
- Use cases
Optimize the inventory management process
And improve visibility on certain critical indicators
The Customer
Industrial group in the transportation sector
Background and objectives
An under-optimized inventory management process andlack of visibility on certain critical indicators
Results
Several M€ of "dormant" inventory identified, to be recovered by optimizing purchasing decisions
Approach / System
- Identification of breakthrough improvements in manufacturing processes
⇒ from 18% to 5% of procurement orders with manual action
⇒ reversal of production steps, resulting in recalculation of quantities in 24% of cases
⇒ new prioritization systems work orders subject to stock availability - Dormant stock reduction thanks to the identification of previously impossible inventory movements ⇒ €70m reduction in purchases thanks to reallocations
- Transformation management thanks to the implementation of D+1 dashboards monitored at Comex level
Added value Silamir Group
- Deployment of an end-to-end support approach focused on customer value
- Close to the business
- Hybridization of resources (Data/Business/Project
- Progressive approach adaptable to customers' specific needs and challenges scalable
AI Agents: From Experimentation to ROI
Born from Silamir's expertise and feedback from collaborations with recognized market players, this guide offers a practical approach that can be directly applied to your organization.
More business cases
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