About the Course
In the current global landscape, organizations require results they can prove through empirical evidence. To succeed in this field, you must demonstrate proficiency in demand forecasting, inventory optimization, transportation modeling, network design, and supplier performance tracking. This Supply Chain and Logistics Analytics Training transforms scattered operational knowledge into a structured system for excellence. You will practice applying the SCOR Framework to identify bottlenecks and use Linear Programming to solve complex distribution challenges. While many courses offer a high-level summary, this program provides a deep dive into the mechanics of logistics optimization, ensuring you can replicate these successes in your own organization.
You will learn to turn raw transactional data into high-impact business decisions. Specifically, you will practice building ARIMA models for forecasting, designing multi-echelon inventory systems, and simulating greenfield network scenarios. You will be introduced to Digital Twin technology and AI-assisted route optimization at an overview level, while gaining hands-on mastery of Safety Stock calculations and Total Landed Cost analysis. Supply Chain and Logistics Analytics Training is designed for the professional who must navigate real-world constraints such as budget limitations, data silos, and regulatory acceleration. By the end of this course, you will have a comprehensive toolkit of templates and models ready for immediate implementation.
Target Audience
This intermediate-level program is built for professionals who handle complex data and operational decisions within the global supply chain ecosystem.
This course is designed for:
- Supply Chain Data Analysts managing end-to-end performance metrics
- Logistics Operations Managers optimizing regional distribution center workflows
- Demand Planning Specialists building predictive models for SKU-level forecasting
- Inventory Control Officers designing multi-echelon safety stock strategies
- Transportation Analysts conducting route optimization and carrier performance audits
- Sourcing and Procurement Specialists evaluating supplier risk and lead-time variability
- Warehouse Supervisors implementing data-driven slotting and labor management systems
- Strategic Network Planners modeling greenfield and brownfield facility locations
- Financial Controllers overseeing total landed cost and cost-to-serve analytics
- Operations Directors reporting supply chain resilience metrics to executive leadership
Course Objectives
This course equips you to design, execute, and report supply chain initiatives that improve efficiency, ensure compliance, and drive strategic growth.
By the end of this course, you'll be able to:
- Assess current supply chain maturity using the SCOR Model framework
- Apply ARIMA and Holt-Winters methodologies to generate accurate demand forecasts
- Calculate optimal safety stock levels using lead-time and demand variability data
- Design a network optimization model using Linear Programming techniques
- Evaluate warehouse performance through WMS data and labor productivity metrics
- Navigate international logistics compliance requirements using ISO 28000 standards
- Implement automated supplier scorecards to monitor vendor reliability and risk
- Synthesize complex logistics data into executive-level Power BI or Tableau dashboards
Requirements & Prerequisites
Participants should have a basic understanding of supply chain operations and be comfortable using Microsoft Excel for data manipulation. Familiarity with ERP or WMS concepts is recommended but not required.
Local Application and Business Return
How participants can apply the training in local operating conditions, and the return their organisation can plan for.
How participants apply this
Expected ROI
Training Methodology
This is a practical, outcome-driven course designed to turn supply chain data into measurable action and credible reporting.
Methodology includes:
- Hands-on safety stock calculation exercise using real-world demand datasets
- Scenario simulation requiring route optimization decisions under fuel price volatility
- Audit of a logistics network using the SCOR Framework diagnostic tool
- Stakeholder mapping exercise for cross-functional Sales and Operations Planning (S&OP)
- Case study analysis from the retail, manufacturing, and pharmaceutical sectors
- Group workshop producing a facility location recommendation using greenfield analysis
- Reflection exercise evaluating current warehouse slotting efficiency against industry benchmarks
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Supply Chain and Logistics Analytics Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
In-Demand Skills Mastery
- Transform raw supply chain data into actionable cost-saving decisions instantly.
- Master predictive analytics to eliminate bottlenecks before they disrupt operations.
- Learn demand forecasting techniques that reduce inventory waste by double digits.
Career Acceleration
- Unlock six-figure logistics analyst roles with verified, portfolio-ready credentials.
- Stand out to employers seeking rare analytics-plus-supply-chain hybrid expertise.
- Graduate job-ready with real-world case studies from Fortune 500 supply chains.
Expert-Led Flexible Learning
- Industry practitioners with 15+ years teach every module — zero theoretical filler.
- Study on your schedule with self-paced access and live mentor support sessions.
- Earn a recognized certification without pausing your current career trajectory.
Tools and platforms relevant to this field
Examples Côte d'Ivoire teams may encounter, and that may be featured in training where they support the confirmed course scope.
These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.
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Power BI MicrosoftUsed to build logistics dashboards for inventory, transport, service levels, and exception tracking.
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SAP S/4HANA SAPUsed by larger organizations to connect procurement, inventory, warehouse, and finance data for end-to-end supply chain analysis.
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Oracle Fusion Cloud SCM OracleUsed to support planning, replenishment, procurement, and logistics analytics in integrated supply chain environments.
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Tableau SalesforceUsed for interactive reporting on demand trends, lane performance, and SKU profitability.
