Supply Chain Optimization Reducing Logistics Costs by $3.8M
Built AI system optimizing routes, inventory, and warehouse allocation across 15 distribution centers.
Supply Chain Optimization Reducing Logistics Costs by $3.8M
Built AI system optimizing routes, inventory, and warehouse allocation across 15 distribution centers.
Founder note: this is written to be practical. We focus on what we learned in delivery, what changed for the team, and what results held up after rollout.
The Real Problem
1. Inefficient route planning causing high fuel costs
2. Inventory misalignment between warehouses
3. $12M annual logistics spend seemed high but hard to optimize
4. No system-wide visibility into supply chain
5. Manual planning was taking weeks for seasonal changes
What We Actually Changed
Built AI supply chain optimizer:
- Real-time inventory optimization across 15 centers
- Route optimization considering traffic, fuel, delivery windows
- Demand forecasting to right-size inventory
- Supplier selection optimization
- Warehouse allocation optimization
- Integration with ERP, WMS, TMS systems
- Automated rebalancing recommendations
- Real-time tracking and alerts
TOOLS AND METHODS USED
Delivery Journey
System Audit
Analyzed current supply chain, identified inefficiencies
Data Integration
Connected to ERP, WMS, TMS, mapping systems
Optimization Engine
Built route, inventory, and allocation optimizers
What Improved
WEBOPS Limited looked at our supply chain with fresh eyes and immediately found millions in optimization opportunities. Their AI system is running our logistics better than we ever could manually. This transformed our profitability.
FOUNDER BRIEF
DELIVERY STACK
WANT A SIMILAR OUTCOME?
We can map your opportunity and constraints before you commit budget.
Request free feasibility studyarrow_forward