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Supply Chain, Logistics and Procurement Experts
Training, Certification, and Consultancy
certification Program in
Certified supply chain analyst
7th year in progress, 25 batches completed, 500+ certified
Join any time, round the year admission
Using Data Sciene / Machine Learning ? AI in Python
contact us
Introducing "SUPPLY CHAIN GAMES & QUIZZES"
World's first, play through your smart phone (Interactive learning)
Key Areas of Supply Chain Analytics
1. Demand Forecasting: Predicting future customer demand using historical data and
market trends.
2. Inventory Optimization: Balancing stock levels to avoid overstocking or stockouts while
meeting customer demand.
3. Supplier Performance Analysis: Evaluating supplier reliability, costs, and delivery times
to optimize sourcing decisions.
4. Logistics and Transportation: Improving delivery times, reducing transportation costs,
and managing routes efficiently.
5. Risk Management: Identifying potential risks in the supply chain and developing
strategies to mitigate them.
6. Cost Analysis: Understanding cost drivers throughout the supply chain to optimize
operations and increase profitability.
career opportunities
Entry-Level Positions:
o Supply Chain Analyst: Collecting and analyzing data to support supply chain decisions.
o Logistics Coordinator: Managing the transportation and storage of goods.
o Inventory Analyst: Monitoring inventory levels and ensuring accuracy.
Mid-Level Positions:
o Senior Supply Chain Analyst: Leading more complex analyses and projects, mentoring junior analysts.
o Operations Manager: Overseeing daily operations, ensuring efficiency, and
implementing process improvements.
o Procurement Specialist: Managing supplier relationships and negotiating contracts.
Advanced Roles:
o Supply Chain Manager: Overseeing all supply chain activities, managing teams, and developing strategies.
o Logistics Manager: Leading logistics operations, including transportation and warehousing.
o Demand Planner: Forecasting customer demand and aligning supply chain activities
to meet these forecasts.
Specialized Roles:
o Supply Chain Consultant: Providing expert advice to improve supply chain performance for various clients.
o Data Scientist/Analyst: Applying advanced analytical techniques and machine learning to supply chain data.
o Risk Management Specialist: Identifying and mitigating risks within the supply chain.
Leadership Positions:
o Director of Supply Chain: Setting strategic direction for supply chain operations at a higher level.
o Chief Supply Chain Officer (CSCO): Leading the entire supply chain function, influencing corporate strategy.
Industry-Specific Opportunities:
o E-commerce Supply Chain Analyst: Focusing on the unique challenges and opportunities in online retail.
o Manufacturing Supply Chain Analyst: Specializing in optimizing manufacturing processes and supply chains.
o Healthcare Supply Chain Analyst: Managing the supply chain for medical products and services.
Chief Trainers
Mr. Pattabhi Raman,
APICS – CTSC, CPIM, CSCP, CLTD, PMP
Globally recognized Supply Chain expert
Dr. Gita PhD
Ex- CIPLA, Ex- Shipping
Corporation of India, Ex-Protec
Consultant and Trainer
content of the program
PART 1
Module1 – Introduction to Supply Chain Analytics (2 hrs)
Module 2 – Applied Statistics (7 hrs)
Module 3 – MySQL (10 hrs)
Module 4 – Advanced excel (10 hrs)
Module 5 – Power BI (10 hrs)
Module 6 – Python for data analytics (15 hrs)
Module 7 – Introduction to ML/AI (10 hrs-live)
Section A (10 to 20 hrs)
• Concepts of Supply Chain
• Supply Planning, Demand Management, Capacity Planning, PPC
• Purchasing, S&OP, MPS, MRP, Demand Forecasting
• Supply Chain Metrics
• Challenges in Supply Chain
• How analytics can help improve Supply chain challenges
Section B (15 to 25 hrs, Topics may vary)
• Holtz Winter Forecasting using Solver
• Regression in Forecasting using Solver
• Warehouse location Optimization using solver
• Distribution Optimization using Solver
• E-commerce Distribution – Supply Chain metrics evaluation using SQL
• Inventory modelling, EOQ, Safety stock, Shortages, using Python, ML
• Vehicle routing optimization, using Python, ML
• Distribution optimization, considering fixed and manufacturing cost using Python, ML
• Warehouse Employees scheduling using Python, ML
• Container loading optimization, using Python, ML
• Retail environment – calculation of safety stock and re-order point, using Python, ML
• Application of items bought together – in warehouse layout, recommender system
• Fraud detection in supply chain operations, using Python, ML
• Vehicle routing using TSP model in python
• Vendor rating and selection using Linear programming in python
Duration: Flexible sessions, Join any time, 80 to 90 hrs live sessions, 3 to 4 months,
Admission validity : 1 year, Multiple entry within 1 year cycle
Sundays : Up to 7 hours duration per Sunday, Between 9 am to 6 pm. Pl check exact schedule with our staff
Eligibility: Good English communications skills & Graduates/PG, with knowledge of “Intermediate/advanced Excel”
Mode: Online, Live and Inter-active