Supply Chain Analytics
Supply Chain Analytics is the use of data, statistical methods, and technology to improve supply chain decisions, including demand forecasting, inventory management, and logistics optimization. It enables organizations to enhance efficiency, reduce costs, and build more responsive, data-driven supply chains.
Overview
The Supply Chain Analytics certification is designed to equip professionals with the skills to analyze, interpret and optimize supply chain performance using data-driven techniques. The course focuses on key areas such as demand forecasting, inventory analysis, KPI tracking and performance measurement, enabling participants to make informed and strategic decisions.
Participants will gain practical knowledge of tools and techniques used in modern supply chains, including Excel, dashboards and data visualization methods. Through real-world examples and hands-on exercises, learners will develop the ability to identify inefficiencies, improve operational performance and enhance overall supply chain effectiveness. This program is ideal for professionals looking to build analytical capabilities and drive smarter, data-driven supply chain decisions.
Course Curriculum
- Overview of supply chain analytics and business value
- Types of analytics: descriptive, diagnostic, predictive, prescriptive
- Role of data in modern supply chains
- Key industry use cases (retail, manufacturing, e-commerce)
- Analytics maturity model
- Types of supply chain data (demand, inventory, logistics, procurement)
- Data collection, cleaning and preprocessing
- Data integration across ERP, WMS, TMS
- Basics of data modeling
- Data quality, governance and security
- Advanced Excel techniques for analytics
- Data cleaning and transformation
- Pivot tables, lookups and dashboards
- Basic statistical analysis
- Mini Lab: Build a supply chain dataset and dashboard
- Introduction to SQL for analytics
- Querying supply chain datasets
- Filtering, aggregation and joins (conceptual + demo)
- Data extraction for reporting
- Forecasting fundamentals
- Time series analysis (trend, seasonality)
- Forecasting methods (moving average, regression)
- Forecast accuracy metrics (MAPE, RMSE)
- Use Case: Retail demand forecasting
- Inventory performance metrics
- Safety stock and reorder point calculations
- ABC analysis and segmentation
- Service levels and stock optimization
- Use Case: Inventory optimization
- Transportation KPIs and performance metrics
- Route optimization basics
- Cost vs. service level trade-offs
- Last-mile delivery analytics
- Case Study: Logistics performance improvement
- Key KPIs:
- Fill Rate
- Perfect Order Rate
- Inventory Turnover
- Cycle Time
- Dashboard design principles
- Performance tracking and reporting
- Introduction to Power BI
- Data modeling and relationships
- Building interactive dashboards
- Visualization best practices
- Mini Lab: Create a supply chain dashboard
- Introduction to predictive analytics
- Scenario analysis and simulation
- Risk prediction and mitigation
- Data-driven decision frameworks
- Optimization techniques (cost, service, speed)
- Network optimization basics
- Trade-off analysis
- Business impact:
- Cost reduction
- Efficiency improvement
- KPI enhancement
- AI in supply chain analytics
- Real-time analytics and control towers
- IoT and automation
- Digital transformation in SCM
- Real-world case studies (Amazon, Walmart, Zara)
- End-to-end analytics project
- Dashboard creation and insights presentation
- Portfolio-ready project output
- Final assessment and certification
Prerequisites
- Basic Understanding of Supply Chain Concepts (Preferred) - Familiarity with logistics, inventory, procurement or operations is helpful but not mandatory.
- Basic Knowledge of Excel (Recommended) - Understanding of Excel (formulas, tables, basic data handling) will help in hands-on sessions.
- Interest in Data and Analytics - Willingness to work with data, metrics and dashboards is important for learning effectively.
- Educational Background (Preferred)- Degree or diploma in supply chain, business, engineering, analytics or related fields.
- Work Experience (Optional) - Experience in supply chain, operations, logistics or data-related roles is beneficial but not required.
Who Should Attend
This course is designed for professionals, students, and decision-makers who want to leverage data and analytics to improve supply chain performance and drive business value.
It is ideal for:
- Supply Chain, Operations, and Logistics Professionals looking to optimize processes, reduce costs, and improve efficiency
- Data Analysts, Business Analysts, and BI Professionals aiming to apply analytics in real-world supply chain scenarios
- Manufacturing, Production, and Inventory Professionals seeking better demand forecasting, planning, and inventory control
- Consultants and Strategy Professionals who want to deliver data-driven insights and solutions
- MBA Students, Engineering Graduates, and Early Career Professionals aspiring to build careers in supply chain analytics
- IT, ERP, and Technology Professionals interested in integrating analytics, AI, and digital tools into supply chain systems
- Business Leaders and Decision Makers aiming to use analytics for strategic planning and competitive advantage
Certification
On successful completion of the course and assessment, you will receive a Course Completion Certificate from GraspSkill.
Certification and Exam
- 20 questions
- A Passing Score: 75% (15 out of 20 questions)
- Objective-type questions related to the training syllabus
Benefits
- Make Data-Driven Decisions - Learn how to use data to improve forecasting, planning, and operational decisions instead of relying on guesswork.
- Improve Forecasting Accuracy - Master demand forecasting techniques to reduce stockouts, minimize excess inventory, and enhance customer satisfaction.
- Optimize Inventory and Costs - Gain skills to balance inventory levels, reduce carrying costs, and improve overall supply chain efficiency.
- Enhance Operational Efficiency - Identify bottlenecks, streamline processes, and improve end-to-end supply chain performance.
- Leverage Advanced Tools and Technologies - Work with tools like Excel, Power BI, Python, and AI/ML techniques for real-world supply chain analytics.
About Trainer
Learn from an industry-experienced trainer with strong expertise in supply chain, analytics, and tools like Excel, Power BI, and Python, delivering practical, real-world insights through hands-on case studies and career-focused guidance.
Learning Outcomes
- Analyze supply chain data to identify trends, inefficiencies, and improvement opportunities
- Apply demand forecasting techniques to improve planning accuracy and reduce risks
- Optimize inventory levels using data-driven models and best practices
- Improve supply chain performance by identifying bottlenecks and enhancing processes
- Use analytical tools such as Excel, Power BI, and Python for real-world problem-solving
- Develop dashboards and reports to support decision-making and business insights
- Understand the role of AI and analytics in modern, digital supply chains
- Solve real-world supply chain problems through case studies and practical exercises
- Build job-ready skills for roles like Supply Chain Analyst, Operations Analyst, and Demand Planner
Student Reviews
""This course gave me a clear understanding of how to use data for better planning and decision-making. The practical case studies were extremely useful and relevant to my daily work.""
""A well-structured program that connects analytics with real supply chain challenges. The hands-on sessions with Power BI and Excel were particularly valuable.""
""I was able to improve my forecasting and inventory planning skills significantly. The trainer explained complex topics in a very simple and practical way.""
""Great blend of theory and real-world application. I especially liked the focus on solving practical supply chain problems using data.""
Frequently Asked Questions
This course teaches how to use data analytics to improve supply chain operations, including demand forecasting, inventory optimization, and logistics planning using tools like Excel, Power BI, and Python. It combines practical case studies and hands-on learning to help you make data-driven decisions and build job-ready skills for supply chain and analytics roles.
This training is ideal for supply chain, operations, and logistics professionals, data and business analysts, consultants, and IT professionals looking to apply analytics in real-world scenarios. It is also well-suited for students, graduates, and business leaders who want to build data-driven decision-making skills and advance their careers in supply chain and analytics.
No, prior experience in Supply Chain Analytics is not required.
This course is designed for both beginners and professionals, starting with fundamental concepts and gradually progressing to advanced analytics techniques, making it easy for anyone with basic knowledge of business, operations, or data to follow along.
Yes, there will be an assessment of 20 questions based on the training topics at the end of the course, you will have to score 75% to pass.
You will get 2 attempts to pass the test.
We offer live online sessions, self-paced modules and in-person workshops.
No, the certification is valid indefinitely, demonstrating supply chain management proficiency. While not mandatory, refresher training every 2-3 years is recommended to maintain skills and compliance.
Yes, participants commonly use this certification to progress into roles such as Supply Chain Analyst, Procurement Specialist, Logistics Supervisor, Inventory Manager, Operations Planner, Warehouse Coordinator, Production and Materials Manager and Supply Chain Management Consultant.
Yes. Our in-house certification is widely accepted by employers worldwide as proof of competence in supply chain fundamentals and modern SCM methodologies.
Yes. We offer customized corporate SCM programs, including train-the-trainer and industry-specific supply chain modules.
Yes, you will be able to pay the course fees in instalments. Reach out to [email protected] to see the options available to you.
Yes, if you notify at least 24 hours in advance before the 1st class of the training and there is an availability in a different batch then you will be able to switch your start date.
Our courses are designed to provide high quality learning and outcomes that exceed expectations. If for some reason your expectations are not met. You will be given a refund in accordance with our 100% satisfaction policy.
You will receive meeting login for Zoom live classes and training materials.
All the participants will be added to WhatsApp/SMS group and email thread. You can clarify doubts at any time via WhatsApp, SMS or email.
Yes, we provide mentorship, doubt resolution, and guidance for assessment preparation.
Sure, you can watch the recordings of the sessions you cannot attend and get back to us if you have any doubts to clear.
Group discounts are available to groups of more than three candidates. You can get up to 20% discount depending on the number of participants.
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Corporate in-house programs or open events — write to us at info@graspskill.com
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Upcoming Schedules
| Date | Time | Duration | Mode | Price | Action |
|---|---|---|---|---|---|
| 12:00 – 18:00 Kolkata (UTC+5:30) | 6 Hours per day, Total: 30 hrs, 5 Days ( Jul 06, 07, 08, 09 and 10, 2026 ) | Live Online | $699.00 $299.00 |
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