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Success Story

Services: Data & Analytics​

Technology Platform: AI/ML, SAP, Predictive Analytics​

Industry/Domain: Energy

AI-Powered Predictive Model for Shipping Schedules and Inventory Management

Client: An established mining enterprise headquartered in Australia, specializing in the extraction, processing, and transportation of raw materials across global markets.​

​

Business Requirements​

To streamline shipping logistics and improve inventory control, the client aimed to:​

  • Automate Shipping & Inventory Processes
    • Minimize manual tasks by introducing automated logistics systems
    • Eliminate dependency on spreadsheets, phone calls, and emails for cargo tracking
  • Enhance Data Management & Quality
    • Consolidate disparate data sources (SAP, Excel, flat files) into a unified platform. Resolve data inconsistencies and improve information accuracy.
    • Elevate data quality to support performance monitoring and operational decisions.
  • Optimize Routes with AI & Predictive Intelligence
    • Use AI models to determine the most efficient transport paths for trains, vessels, and trucks
    • Account for variables such as loading speed, fuel use, sailing time, order volume, and deadlines
    • Predict shipping trends and costs using macroeconomic indicators and seasonal demand patterns.

How Consulevent Solved It

To built a Predictive Model for better management, Consulevent focused on these:​

  • AI-Powered Route Optimization
  • Centralized Inventory & Logistics Management
  • Predictive Analytics for Market Trends
    ​

Looking to transform your logistics operations with predictive intelligence and automation?

Get in touch with Consulevent to build smarter, AI-enabled supply chain systems.
Contact Us to start your journey.​

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