Logistics Network Optimization &
Cost Reduction Analytics
Transforming supply chain performance through data-driven network optimization and strategic cost reduction.
Client Overview
A leading consumer goods organization managing a complex logistics and distribution network, requiring data-driven insights to optimize transportation costs and improve fulfillment efficiency.

Business Challenges
Lack of end-to-end visibility into logistics network performance
Data scattered across multiple systems and formats
Difficulty in analyzing transportation costs and shipment patterns
Limited ability to simulate alternative network strategies
Inefficiencies in routing decisions and distribution center utilization
Slow and manual scenario analysis impacting decision-making

Our Solution
We designed and deployed an integrated analytics platform that consolidated disparate logistics data sources and enabled advanced scenario modeling for network optimization.

Centralized Data Integration
Unified logistics data from Amazon Redshift, Excel, and webforms into a single Domo platform for consistent analysis.
Automated ETL Pipelines
Leveraged Magic ETL to transform and structure large-scale logistics datasets for reliable reporting.
Transportation Cost Analysis
Identified cost drivers by analyzing carrier rates, shipment trends, and transportation lanes.
Shipment Pattern Intelligence
Evaluated shipment flows to uncover inefficiencies and opportunities for optimization.
Scenario-Based Network Modeling
Enabled baseline, tactical, and strategic simulations to evaluate routing and distribution strategies.
Interactive Decision Support Dashboards
Delivered actionable insights through dynamic dashboards for planners and leadership teams.
Business Impact
10–20%
Potential reduction in transportation costs
~70%
Faster scenario evaluation for strategic planning
Improved
Network efficiency through better lane & DC utilization
Enhanced
Routing decisions improving service levels & reducing variability
Technology Stack



Value Delivered
By centralizing logistics data and enabling scenario-based network modeling, we empowered the organization to make faster, more informed decisions — unlocking significant cost savings, improving distribution efficiency, and building a scalable foundation for continuous supply chain optimization.
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