Business Cases
Consumer BrandsSupply ChainAI & EnterpriseSupply Chain & LogisticsA LexBran engagement
AI-Powered Supply Chain Digital Twin & Last-Mile Optimization
LexBran designed an AI-powered supply chain digital twin to move a global consumer products company from reactive logistics to predictive operational intelligence.
15%reduction in logistics costs
22%improvement in delivery SLA adherence
18%reduction in inventory imbalance
The Challenge
What the client was facing.
- Rising transportation costs
- Poor OTIF performance
- Inventory imbalances
- Disconnected warehouse and delivery operations
- Limited visibility across last-mile logistics
The Engagement
How LexBran engaged.
LexBran designed an AI-powered supply chain digital twin spanning operational simulation modeling, warehouse optimization, predictive logistics planning, AI route optimization, and network scenario analysis.
Integrated systems & data
- ERP data
- WMS/TMS systems
- Inventory flows
- Transportation data
- Real-time demand signals
- Last-mile routing intelligence
The Solution
What we built.
AI-powered digital twin platform
Real-time transportation visibility
Dynamic route optimization
Inventory balancing engine
Demand sensing models
Last-mile simulation analytics
The Impact
Outcomes delivered.
- 15%reduction in logistics costs
- 22%improvement in delivery SLA adherence
- 18%reduction in inventory imbalance
- Faster response to disruptions
- Improved supply chain resilience
LexBran Point of View
"Digital twins allow enterprises to move from reactive supply chain management to predictive operational intelligence."