Supply Chain and Logistics Analytics Training

About This Course

Modern supply chains generate enormous volumes of data — from procurement records and inventory logs to shipping manifests and demand signals. Yet many organisations still rely on intuition, spreadsheets, or fragmented systems to make critical supply chain decisions. The result is excess inventory, service failures, supplier disputes, and missed cost-saving opportunities that erode competitive advantage.

Supply Chain and Logistics Analytics Training is a rigorous, ten-day programme designed to close the gap between data availability and data-driven decision-making. Delivered by TrainingComplex, the course builds participants' capability to collect, analyse, interpret, and act on supply chain data across the full value chain — from supplier onboarding through last-mile delivery. Participants will work with proven analytical frameworks, industry-standard tools, and real supply chain datasets to develop practical skills they can apply immediately upon returning to their organisations.

The curriculum covers the complete analytics lifecycle as it applies to supply chains: demand forecasting and inventory optimisation, supplier scorecarding, warehouse analytics, transportation network modelling, and S&OP (Sales and Operations Planning) analytics. Participants are also introduced to emerging technologies — including machine learning-based forecasting, IoT-enabled visibility platforms, and supply chain control towers — so they understand where the discipline is headed and how to prepare their organisations accordingly.

Whether you are a supply chain manager seeking to lead data-driven transformation, an analyst looking to specialise in logistics and operations, or a procurement professional aiming to strengthen supplier relationships through evidence-based metrics, this programme delivers the knowledge, tools, and confidence to raise the analytical standard of your supply chain function.

Who Should Attend

• Supply chain managers and directors responsible for end-to-end supply chain performance
• Logistics and distribution managers overseeing transportation and warehouse operations
• Procurement and sourcing professionals seeking to apply analytics to supplier management
• Inventory and demand planning analysts who want to deepen their technical capabilities
• Operations managers involved in production planning and materials management
• S&OP coordinators and business planning professionals
• Data analysts and BI professionals transitioning into supply chain roles
• Consultants advising clients on supply chain transformation and operational efficiency
• Government and NGO supply chain officers managing humanitarian or public sector logistics

Learning Objectives

• Understand the role of analytics in modern supply chain and logistics management
• Apply demand forecasting techniques including time-series analysis and causal modelling
• Use inventory analytics to determine optimal stock levels, safety stock, and reorder points
• Develop and interpret supplier performance scorecards and procurement analytics dashboards
• Analyse warehouse operations data to identify inefficiencies and improve throughput
• Model transportation networks to minimise cost and improve delivery performance
• Build and use KPI frameworks to monitor end-to-end supply chain health
• Apply Sales and Operations Planning (S&OP) analytics to align supply with demand
• Leverage data visualisation tools to communicate supply chain insights to stakeholders
• Interpret risk analytics to identify supply chain vulnerabilities and build resilience
• Explore machine learning applications in demand forecasting and route optimisation
• Understand supply chain control towers and real-time visibility platforms
• Design an analytics roadmap tailored to their organisation's supply chain maturity

Course Modules

Requirements & Prerequisites

Participants should have at least two years of experience working in supply chain, logistics, procurement, or a related operations function. A basic familiarity with spreadsheet tools such as Microsoft Excel is expected, as the course builds on these foundations before introducing more advanced platforms. Prior exposure to supply chain concepts such as inventory management, procurement cycles, or logistics operations is helpful, though formal academic training in analytics is not required.

Training Methodology

• Hands-on data exercises using real-world supply chain datasets sourced from manufacturing, retail, and humanitarian logistics contexts
• Demand forecasting labs where participants build and evaluate forecasting models using Excel and accessible analytics tools
• Inventory optimisation workshops applying EOQ, safety stock, and ABC/XYZ analysis to live case scenarios
• Supplier scorecard design sessions where teams construct and stress-test KPI frameworks against sample procurement data
• Transportation network simulation exercises modelling route trade-offs and cost minimisation scenarios
• Warehouse analytics walkthroughs using operational data to identify bottlenecks and improvement opportunities
• S&OP simulation rounds in which cross-functional teams align demand and supply plans under constrained conditions
• Data visualisation practicals where participants build supply chain dashboards using Power BI or equivalent tools
• Group case study analyses drawing on documented supply chain failures and turnaround successes from global organisations
• Peer critique sessions where participants present their analytics findings and receive structured feedback from trainers and cohort members
• Reflective capstone project in which each participant develops an analytics implementation plan for their own organisation

Organisational Benefits

• Reduced inventory carrying costs and stockout incidents through evidence-based stock management
• Improved supplier performance and accountability through structured scorecarding and data-driven reviews
• Faster, more accurate demand forecasting leading to better production and procurement planning
• Enhanced transportation efficiency and reduced freight costs through network and route analytics
• Stronger S&OP processes that align cross-functional teams around shared data and forecasts
• Reduced supply chain disruptions through proactive risk identification and scenario modelling
• Improved warehouse throughput and labour utilisation driven by operational data insights
• Greater return on investment from existing ERP, WMS, and TMS systems through better data use
• A pipeline of analytically skilled supply chain professionals capable of sustaining continuous improvement
• Clearer supply chain visibility enabling faster response to market changes and disruptions

Where Is Supply Chain and Logistics Analytics Training Offered?

This course runs in-person across: Abuja, Nairobi, Kisumu, Nakuru, Dubai, Arusha, Zanzibar, Addis Ababa, Pretoria, Kampala, Kigali, Riyadh, Cape Town, Accra, Lagos, Mombasa, Naivasha, Dar es Salaam, Johannesburg, plus Live Virtual (online) cohorts. Browse live dates for your city below.

Upcoming Schedules

+227 more dates — view live schedule →

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