Breaking the Wall of Inefficient Distribution
Reducing logistics costs by up to 22% through AI-driven supply and distribution optimization.
- Date: 08-2025
- Organization: Falling Walls Lab
The Challenge in Multi-Warehouse Distribution
Many companies with multi-warehouse networks face high costs, stockouts, and delivery delays due to inefficient logistics planning.
This problem is especially critical for products with variable demand, diverse lead times, and complex transportation routes.
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Logistics inefficiencies can account for up to 30% of total supply chain costs in Latin America.
Our AI-Powered Optimization Platform
We developed a scalable simulation and optimization algorithm that integrates:
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Demand forecasting
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Lead time variability
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Operational constraints
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Inventory and transportation costs
In the lubricants sector, this solution achieved up to 22% cost reduction and improved delivery performance across multiple warehouses.
Proven Results, Ready to Scale
Our solution can be adapted to multiple industries:
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Automotive parts and lubricants
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Retail and supermarkets
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Pharmaceuticals
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E-commerce and last-mile delivery
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Food and beverages
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Construction supplies
Impact
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22% reduction in logistics costs
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30% improvement in delivery time
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Tested and validated in a real corporate environment