BI Tools for Supply Chain & Logistics Analytics Training Course

Description

This course equips participants with practical skills to use Business Intelligence (BI) tools and analytics techniques to improve supply chain visibility, logistics efficiency, and end-to-end operational performance. It focuses on demand and supply analytics, inventory optimization, transportation tracking, warehouse performance, and real-time logistics dashboards. Participants will learn how to transform supply chain data into actionable insights that reduce costs, improve delivery performance, and strengthen operational resilience.

Target Groups

Supply chain and logistics managers
Procurement and sourcing professionals
Warehouse and inventory managers
Business intelligence and data analysts
Operations and production planners
Transport and fleet management teams
E-commerce and distribution professionals
Finance and cost control officers
Public sector logistics and procurement teams
Anyone involved in supply chain operations and analytics

Course Objectives

By the end of this course, participants will be able to:

Apply BI tools to supply chain and logistics analytics
Improve demand forecasting and supply planning decisions
Optimize inventory levels and reduce stockouts
Track logistics performance using real-time dashboards
Analyze transportation and delivery efficiency
Identify bottlenecks in supply chain operations
Improve warehouse performance using data insights
Enhance supplier and procurement decision-making
Support end-to-end supply chain visibility
Strengthen data-driven logistics strategy

Course Modules

Module 1: Introduction to BI in Supply Chain & Logistics

Role of BI in supply chain management
Key supply chain metrics and KPIs
Data-driven logistics decision-making
Overview of supply chain analytics frameworks
Benefits of BI in operational efficiency

Module 2: Supply Chain Data Sources and Integration

ERP, WMS, TMS, and procurement systems
Inventory and order management data
Supplier and vendor data systems
External data sources (weather, market, fuel prices)
Data integration and cleaning techniques

Module 3: Demand Planning and Forecasting Analytics

Historical demand analysis
Seasonal and trend forecasting
Demand variability and uncertainty analysis
Forecast accuracy measurement
Improving planning using BI insights

Module 4: Inventory Optimization and Control

Inventory turnover and stock analysis
Safety stock and reorder point optimization
Overstock and stockout risk analysis
Multi-location inventory management
Cost optimization strategies

Module 5: Transportation and Distribution Analytics

Delivery performance tracking
Route optimization insights
Freight cost analysis
On-time delivery performance metrics
Carrier performance evaluation

Module 6: Warehouse Performance Analytics

Warehouse efficiency KPIs
Picking, packing, and dispatch analysis
Space utilization optimization
Order fulfillment performance tracking
Reducing warehouse operational delays

Module 7: Supplier and Procurement Analytics

Supplier performance evaluation
Lead time and reliability analysis
Procurement cost optimization
Vendor segmentation and scoring
Risk analysis in sourcing decisions

Module 8: Real-Time Supply Chain Dashboards

Designing logistics dashboards
Real-time tracking of shipments and inventory
Exception-based reporting systems
Supply chain control towers
Visualizing end-to-end operations

Module 9: Predictive and Prescriptive Logistics Analytics

Forecasting delays and disruptions
Predicting demand and supply gaps
Scenario planning for logistics operations
Risk prediction in supply chains
Optimization-based decision support

Module 10: Capstone Project and Case Studies

End-to-end supply chain BI dashboard project
Real-world logistics analytics case studies
Inventory and demand optimization simulation
Transportation performance analysis exercise
Emerging trends: AI-driven supply chain intelligence, autonomous logistics systems, digital twin supply chains, real-time predictive logistics, and intelligent end-to-end orchestration platforms