CoursesAI for Company
AI for Retail & E-commerce
AI for Company

AI for Retail & E-commerce

Learn AI, Generative AI, predictive analytics, and automation for retail and e-commerce. Build skills in forecasting, personalization, inventory, analytics, and smarter decisions.

5/5(4,890 Reviews)

Level

Advanced

Duration

12 week

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About AI for Retail & E-commerce

AI for Retail & E-commerce is a practical course designed to help professionals understand how Artificial Intelligence can be applied across modern retail and e-commerce operations, customer journeys, merchandising, marketing, inventory, analytics, and business decision-making.

Organizations are increasingly using AI to understand customer behavior, improve demand forecasting, optimize inventory, personalize shopping experiences, automate workflows, improve pricing strategies, analyze sales data, and support faster business decisions.

This course explores Artificial Intelligence, Machine Learning, Generative AI, predictive analytics, intelligent automation, AI-powered recommendations, and decision intelligence across key retail and e-commerce functions.

You will learn how AI can support demand forecasting, inventory optimization, product recommendations, customer segmentation, merchandising, pricing and promotion, supply chain and logistics, sales analytics, marketing automation, and e-commerce analytics.

The course also covers practical AI adoption, including AI use-case identification, business value, implementation requirements, AI-enabled workflows, performance measurement, governance, security, privacy, risk, and human oversight.

Generative AI and AI agents are explored through applications such as product content, catalog management, customer support, reporting, knowledge management, campaign assistance, and multi-step retail workflows.


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Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

AI for Retail & E-commerce Course Curriculum

Module 1: AI Fundamentals for Retail & E-commerce

Understand the fundamentals of Artificial Intelligence and how AI technologies are creating opportunities across modern retail and e-commerce businesses.

Introduction to Artificial Intelligence
AI, Machine Learning and Generative AI
AI applications in retail and e-commerce
Retail AI use cases and opportunities
Identifying high-value AI opportunities

Module 2: Retail & E-commerce Data Analytics

Learn how AI can analyze retail, sales, customer, and operational data to identify patterns, generate insights, and support data-driven business decisions.

Retail and e-commerce data fundamentals
Sales and transaction data
Customer behavior analysis
Product and performance analytics
AI-powered retail analytics

Module 3: AI for Customer Personalization

Explore how AI can understand customer preferences and deliver personalized recommendations, offers, content, and shopping experiences.

Customer segmentation with AI
Customer behavior analysis
Personalized shopping experiences
AI-powered product recommendations
Customer preference prediction

Module 4: AI for Demand Forecasting

Learn how predictive analytics and AI can help retailers forecast demand, identify trends, and improve planning across products and sales channels.

Retail demand forecasting fundamentals
Historical sales and demand patterns
Predictive analytics for forecasting
Seasonal demand analysis
AI-driven demand planning

Module 5: AI for Inventory Optimization

Understand how AI can optimize inventory levels, improve replenishment planning, and help retailers manage stockout and overstock risks.

AI-based inventory planning
Inventory level optimization
Stockout and overstock prediction
AI-powered replenishment
Inventory performance analytics

Module 6: AI for Merchandising & Product Management

Learn how AI can support merchandising decisions, product assortment, catalog management, and product performance analysis across retail businesses.

AI in retail merchandising
Product assortment optimization
Product performance analysis
AI-powered catalog management
Product content and insights

Module 7: AI for Pricing & Promotions

Explore how AI and analytics can provide insights for pricing, promotions, demand patterns, and product performance to support better commercial decisions.

AI-driven pricing strategies
Demand-based pricing insights
Price optimization
Promotion performance analysis
AI for promotion planning

Module 8: AI for Retail Marketing & Customer Engagement

Understand how AI can improve retail marketing through customer insights, segmentation, campaign automation, content generation, and personalized engagement.

AI-powered retail marketing
Customer segmentation and targeting
Marketing automation
Generative AI for marketing content
Customer engagement analytics

Module 9: Generative AI for Retail & E-commerce

Learn practical applications of Generative AI for product content, catalog management, marketing, customer communication, reporting, and retail workflows.

Generative AI fundamentals
Product description generation
Catalog content creation
Marketing content and campaign assistance
Customer communication and knowledge management

Module 10: AI for E-commerce Operations & Customer Experience

Explore how AI can improve e-commerce operations, product discovery, customer support, shopping experiences, and digital business workflows.

AI-powered e-commerce workflows
Product search and discovery
Customer support automation
Shopping experience optimization
Conversion and customer experience analytics

Module 11: AI for Supply Chain & Retail Operations

Understand how AI can improve supply chain visibility, logistics, fulfillment, operational processes, and resource optimization across retail businesses.

AI in supply chain management
Logistics and fulfillment optimization
Supply chain analytics
Operational workflow automation
Resource and process optimization

Module 12: AI Agents, Implementation & Responsible AI

Learn how organizations can identify AI opportunities, implement AI solutions, use AI agents, measure business value, and manage governance and operational risks responsibly.

AI agents for retail workflows
AI use-case identification and prioritization
AI implementation strategy
Business value and ROI measurement
AI governance, privacy, security, risk and human oversight

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Take This Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning AI for Retail & E-commerce

Retail Business Analyst

E-commerce Analyst

Retail Operations Manager

Key Projects

AI for Retail & E-commerce Project

Unilever

UnileverAI Demand Forecasting


Scenario: A retail business needed better demand visibility to improve inventory planning, reduce forecasting gaps, and support more efficient product replenishment.

Live Work:

  • Analyzed historical sales data
  • Identified seasonal demand patterns
  • Built an AI forecasting approach
Outcome: Improved demand planning accuracy
Amazon

AmazonE-commerce Personalization


Scenario: An e-commerce team wanted to use AI to analyze customer behavior and improve product recommendations, personalization, and digital shopping experiences.

Live Work:

  • Analyzed customer interaction data
  • Identified recommendation signals
  • Designed personalization workflow
Outcome: More relevant product recommendations
Walmart

WalmartAI Inventory Optimization


Scenario: A retail operations team needed AI-driven insights to optimize stock levels, improve replenishment planning, and reduce potential inventory imbalances.

Live Work:

  • Reviewed inventory and sales data
  • Identified stock patterns
  • Designed AI inventory workflow
Outcome: Better inventory planning
Aditya Birla Fashion & Retail

Aditya Birla Fashion & RetailAI Retail Analytics


Scenario: A retail team needed faster insights from sales and operational data to understand product performance, identify trends, and improve business decisions.

Live Work:

  • Analyzed retail performance data
  • Identified product performance trends
  • Created AI analytics workflow
Outcome: Faster retail business insights
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is an AI for Retail & E-commerce course?

How is AI used in retail and e-commerce?

What are the benefits of AI in retail?

What topics are covered in an AI for Retail & E-commerce course?

How does AI improve personalization in e-commerce?

How can AI help with retail demand forecasting?

How can AI improve retail operations?

What are common AI use cases in e-commerce?

How does AI support demand forecasting?

How does AI improve product recommendations?

What is AI-powered personalization?

How can AI optimize retail inventory?

AI for Retail & E-commerce Certification

The AI for Retail & E-commerce Certification recognizes an organisation's understanding of how Artificial Intelligence can be applied across modern retail and e-commerce functions. It reflects knowledge of practical AI applications including demand forecasting, inventory optimization, customer personalization, product recommendations, merchandising, pricing, retail analytics, intelligent automation, Generative AI, and AI-powered decision-making.

The certification also reflects an organisation's understanding of AI adoption, business value, implementation considerations, responsible AI practices, governance, security, privacy, risk management, and human oversight. It demonstrates the organisation's readiness to explore and apply AI to improve operational efficiency, customer experiences, data-driven decision-making, and AI-enabled transformation across retail and e-commerce.

Industry-Recognized Certification

Certificate
AI for Retail & E-commerce Certificate

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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