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AI & Data Operations: Global Logistics at ABACUS

AI & Data Operations: Global Logistics at ABACUS

A consulting presentation for ABACUS Logistics, showcasing data-driven and AI-powered solutions to optimize delivery routes, automate warehouse quality control, and enhance cost efficiency. This deck highlights predictive analytics, computer vision, and real-time optimization to shape the future of global logistics.

Avatar for Félix Charotte

Félix Charotte

October 06, 2025

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Transcript

  1. AI & Data Operations CHANGING THE WORLD OF LOGISTICS Presented

    by Romain JOCHUM, Amy, Tom LERAT, Félix CHAROTTE, GUO Yimeng
  2. Table of Contents Points to discuss: ABAKUS Overview Key Operational

    Challenges Data Landscape & Opportunities AI-Powered Solutions Predicting Delivery Delays Warehousing Quality Control Cost Optimization Implementation Roadmap Expected Benefits
  3. ABACUS LOGISTICS Specialises in carriage of goods: domestically and internationally.

    Most efficient logistics provider leveraging technology & data. Key Activities Vision Key Figures Business Model Step 1: Send Information Step 2: Wait for quote (~8h)
  4. Warehouse Quality Control damage, manual inspection Cost Efficiency fuel, labor,

    static allocation Predicting Delivery Delays traffic, weather, inefficiencies Key Operational Challenges
  5. 01 Volume: millions of daily deliveries. 02 Velocity: real-time GPS

    and weather updates. 03 Variety: structured (logs), semi-structured (ratings), unstructured (camera feeds). 04 Veracity: reliable and accurate data (e.g., GPS, client feedback) 05 Value: insights to improve efficiency (delays, costs, quality) Data Landscape & Opportunities 5Vs Vs
  6. Solutions Description of Response to Tender IDENTIFY TRENDS & ROOT

    CAUSES ML models to analyze historical data and reveal key delay drivers (traffic peaks, weather patterns, warehouse bottlenecks, regions). AI-POWERED ROUTE OPTIMIZATION Integrate on website for customer to predict time delivery and company to find the fatest way. Optimization algorithm (= Uber) for multi-stop deliveries. Integrates traffic & weather APIs for predictive routing. Suggests best alternative routes in real time. REAL-TIME DASHBOARDS & NOTIFICATIONS Power BI dashboard for managers: live vehicle tracking, delay alerts, performance metrics. Customer notifications: proactive updates if delays are predicted. Predicting Delivery Delays CHALLENGE 1 Traffic, weather, or inefficient route planning. Current systems lack real-time insights and alternative solutions.
  7. Quality Control CHALLENGE 2 Problems Insights LACKS OF DETAILED DATA

    There are too little data to accurately infer the root cause of the problem +90,78% DAMAGE BETWEEN WEST - EAST REGION There is a significant range of damage rate between regions - ( 2,48% west / 4,74% east or +90,78%) UNSTANDARDIZED INSPECTION EFFICIENCY (ACROSS WAREHOUSE) Some warehouse successfully manage 94,36% inspection efficiency but some can only manage 70,12%
  8. Quality Control CHALLENGE 2 Inspection Efficiency Solution Elimination of Damage

    Claims 01 Reduced Inspection Time 02 Optimised Truck Loading and Unloading 03
  9. Opportunity: ABACUS already has rich datasets (GPS, traffic, customer ratings,

    historical demand) that can fuel predictive analytics. Solutions : Visualization: Power BI to track satisfaction and delivery performance. Rising costs: Fuel and labor are cutting into margins. Solutions : ML regression, route optimization (OR-Tools, OptaPlanner) Root cause: Resources (trucks, drivers, warehouse staff) are allocated using static schedules instead of real demand patterns. Solutions : Kafka/Flink for real- time traffic & demand streams Cost Optimisation CHALLENGE 3
  10. Barriers: system integration, data privacy/security, employee adoption. Pilot projects (single

    region & warehouse). Implementation Roadmap Phase 1 Consolidate data in cloud + set up AI platform. Phase 2 Phase 3 Global rollout with scaling and continuous improvement. ABACUS_Data.csv POC Algorithms + Dashboard
  11. Key Benefits of the solutions Optimize delivery routes for less

    delays Improve customer satisfaction Reduce operating costs