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Chemical ManufacturingFeatured Story
Post-Merger Supply Chain Integration
27% network cost reduction through unified data platform
-27%
Network Cost
~$3M savings
-15%
Carbon Reduction
footprint
$300K
Automation Savings
annually
About the Client
Global Chemical Manufacturer
post-mergerdata integrationnetwork optimizationsustainability
The Challenge
Fragmented data systems and limited visibility following the acquisition of two mid-sized enterprises. Disconnected systems and inconsistent KPIs created operational inefficiencies.
The Solution
Lagrange.AI unified all datasets into a single control tower, mapping the entire merged network. Advanced AI-powered optimization identified redundant facilities, while a digital twin simulated warehousing and transportation scenarios.
The Results
27% total network cost reduction (~$3M)
15% carbon footprint reduction
$300K annual automation savings
Full data transparency achieved
"
Lagrange.AI gave us immediate visibility across two previously incompatible systems. For the first time since the merger, we had one version of truth.
SCD
Supply Chain Director
Chemical Manufacturing Leader
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Key Takeaways
Implementation Time:4-8 weeks from start to value
ROI Achievement:Positive ROI within 3-6 months
Scalability:Solution scaled across entire organization
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