Optimizing Supply Chain Efficiency through Geospatial Analytics

Background

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  • Our client, a global technology manufacturer, faced challenges in managing their supply chain logistics efficiently
  • With multiple manufacturing sites and distribution centers spread across regions, they needed to optimize their logistics operations to reduce costs and improve delivery times

Objective

  • To provide the client with a comprehensive, data-driven understanding of their supply chain logistics, enabling them to optimize routes, reduce costs, and improve delivery efficiency

Solution

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  • Collected and integrated data on transportation routes, warehouse locations, and delivery points
  • Used geospatial analytics to map and analyze current logistics routes and identify inefficiencies
  • Applied optimization algorithms to redesign routes, balancing cost and delivery time
  • Developed interactive maps and dashboards to visualize logistics operations and track performance in real-time
  • Conducted scenario planning to test the impact of different logistics strategies under various conditions

Impact

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  • Optimized logistics routes reduced transportation costs by 20%
  • Enhanced route efficiency led to a 15% decrease in average delivery times
  • Improved visibility into logistics operations allowed for better resource allocation and inventory management
  • Provided data-driven insights to support strategic decisions on logistics operations and infrastructure investments