top of page
For Supply Chain Leaders, with minimum coding
Certification Program in

AI Driven Supply Chain Transformation

Why Upskill?

  • Stay competitive in a tech-driven market – AI is rapidly reshaping supply chain operations; professionals must upskill to remain relevant.

  • Enhance decision-making speed and accuracy – AI enables faster forecasting, demand planning, and risk management with data-driven insights.

  • Boost efficiency and cost savings – Learning AI applications can help automate routine tasks, optimize routes, and reduce operational costs.

  • Drive innovation in supply chain strategy – Understanding AI tools allows professionals to design smarter, more adaptive supply chain models.

Prepare for future leadership roles – AI fluency is becoming a critical skill for strategic supply chain leadership and digital transformation projects.

CONTACT US

Thanks for submitting!

Supply Chain Management
SQL & Python
Power BI & Advanced Excel
Supply Chain Analytics

PROGRAM CONTENT

Section I Adv Supply Chain Concepts (15 to 20 hrs)

  • Concepts of Supply Chain

  • Demand Management, Order management & Customer service

  • Strategy/Business Planning, Sales & Operations Planning(S&OP)

  • Supply Planning, MPS, MRP

  • Inventory Management

  • Purchasing, PPC

  • Capacity Planning

  • Warehouse Management

  • Logistics Management, including Import/Exports/Customs

  • Supply Chain Metrics

  • Challenges in Supply Chain

  • How analytics can help improve Supply chain challenges

Section II Supply Chain Transformation (10 to 15 hrs)

  • Assess current supply chain maturity

  • Define clear transformation goals and KPIs

  • Engage cross-functional stakeholders

  • Develop a phased implementation roadmap

  • Transformation tools

  • Pilot initiatives before scaling

  • Monitor progress and adapt strategies

Section III Transformation Tools (10 to 15 hrs)

  • AI - Artificial Intelligence

  • Data Analytics & ML (Section IV)

  • Gen AI & Prompt Engineering (Section V)

  • RPA – Robotic Process Automation (Section VI)

  • SAP SCM (Separate program)

  • Block Chain

  • Control Tower, Digital Twin

  • Digital Logistics incl Drones

  • IOT – Internet Of Things

  • Data Security & Risk Management

  • Implementation

  • Key Success Factors

  • Hands on Experience

​Section IV Data Analytics & Machine Learning, (55 to 60 hrs)
  • Topic 1 – Applied Statistics (5 hrs)

  • Statistics foundations

  • Probability and statistical inferences

  • Hypothesis testing applications

  • Working with data sets

  • Predictive models using regression

​

Topic 2 – MySQL with AI (10 hrs)

  • Basics
    Introduction, Fundamental statements, Refining selection (charts & graphs), Database, Joins & string function, Functions

  • Projects 
    Inventory Analysis
    Customer procurement analysis

​

Topic 3 – Advanced excel
(10 hrs)

  • Inter & adv

    • Excel functions, If, for, while statements, Solver, What if analysis(goal seek, scenario manger, data table), Slicers, Macros, VB

  • Projects

    • Forecasting models

    • Inventory analysis

    • Spend Analytics

    • Warehouse location optimization

    • Transportation cost optimization

    • Distribution cost optimization

​

Topic 4 – Power BI, AI-assisted (10 hrs)

  • Basics 

    • Introduction, Query editor, Data Models & relationships, DAX(Data Analysis Expressions), Reporting, dash board

  • Project

    • Inventory data modelling

​

​

Topic 5 – Python & ML for data analytics (20 hrs)

  • Basics of Python

  • Syntax, Comments, Variables, Data types, Numbers, casting, Booleans, Operators, Lists, Tuples, Sets, Dictionaries, If… else, while loops, for loops, Functions, Lambda, arrays, Classes/objects, Iterators, Dates, Maths, JSON, PIP, User input, Files - read/write/create/delete, Modules - NumPy, Pandas, SciPy - simple SC data sets, Matplotlib - simple SC datasets

  • Introduction to ML/AI in Python

  • EDA & Visualization, Data Preparation & Feature selection, dimensionality reduction, Ski kit learn, Descriptive analytics, Various ML techniques, Model Evaluations, Regression - simple & multiple linear/Logistics, Forecasting - triple smoothing, ARIMA, Recommendation systems, Ranking, Text analytics

​

  • Projects using AI in Python(any 5 to 6 projects)

  • Inventory modelling, EOQ, Safety stock, Shortages

  • Inventory analysis

  • Shortages/Backorder prediction

  • Forecasting models

  • Vehicle routing optimization

  • Distribution optimization, considering fixed and manufacturing cost 

  • Retail environment – calculation of safety stock and re-order point

  • 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

Section V Gen AI & Prompt Engineering, 5 hrs

  • Overview of Generative AI – Concepts & Capabilities

  • Evolution of AI – From Traditional AI to GenAI

  • Key GenAI Models and Applications

  • Understanding Large Language Models (LLMs)

  • Basics of Prompt Engineering – What & Why

  • Types of Prompts – Zero-shot, Few-shot, and Chain-of-Thought

  • Prompt Structuring Techniques for Accuracy & Relevance

  • Common Pitfalls in Prompt Writing & How to Avoid Them

  • Role of Context, Constraints, and Instructions in Prompts

  • Practical Use Cases of Prompt Engineering in Various Domains

  • Ethical Considerations and Responsible Use of GenAI

  • Future Trends in GenAI and Prompt Engineering

  • Projects on Inventory, Procurement & Logistics

Section VI Robotic Process Automation RPA), 5hrs

  • Introduction to RPA – Concepts and Terminology

  • Evolution of Automation Technologies

  • RPA vs. Traditional Automation

  • Key Components of an RPA System

  • RPA Tools and Platforms Overview

  • Identifying Processes Suitable for RPA

  • RPA Development Lifecycle

  • Bot Creation – Basic Workflow Concepts

  • Integration of RPA with Other Systems

  • Benefits and ROI of RPA Implementation

  • Challenges and Limitations of RPA

  • Future Trends in RPA and Hyper automation

  • Projects in Supply Chain Automation

3-4 months
100 Hours Live
Duration
DATE
Weekends
STARTING ON
Enrolment under progress
ELIGIBILITY
Knowledge of English & Graduates/Diploma

  • Duration: Flexible sessions, Join any time, apprx. 100 hrs live sessions, 3 to 4 months, 

  • Admission validity : 1 year, Multiple entry within 1 year cycle

  • Sundays : Up to 5/6 hours duration on Sundays. Any 4 to 5 hrs between 9 am to 5pm. 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 

  • Platform: Teams / Meet

Take the next step in your career

Placement assistance

Paid internships

Live projects

Assignments

Thanks for submitting!

png-transparent-computer-icons-whatsapp-whatsapp-text-trademark-logo-removebg-preview.png

Thoughtware Training Pvt Ltd Bangalore is one of the best Analytics Training Institute in India

© 2022 by Thoughtware Training Pvt Ltd

bottom of page