01141170122 admissions.iitroorkee@digivarsity.com

Executive Program in
AI for E-Commerce & Quick Commerce

Duration
6 Months
Mode of Learning
Online + Campus Immersion*
Schedule
Saturdays & Sundays
Program Fee
90,000 + GST
Eligibility
Any Graduate

Program Overview

The Executive Program in AI for E-Commerce & Quick Commerce by the Continuing Education Centre (CEC), IIT Roorkee equips professionals to understand how AI powers modern digital retail.

With e-commerce platforms generating vast data, organisations rely on AI to drive efficiency, speed, and customer experience. This program covers key applications of machine learning, NLP, generative AI, and big data across search, recommendations, demand forecasting, pricing, and fraud detection.

Through hands-on learning and real-world problem solving, participants learn to turn insights into action. Delivered via live online sessions and campus immersion, it enables professionals to bridge analytics with business execution.

Program Eligibility

  • Target Audience: Professionals currently working in or aspiring to enter the retail, e-commerce, or quick commerce sectors who wish to integrate AI into their operations.
  • Technical Background: Individuals with a foundational understanding of data analytics (e.g., proficiency in Excel) who are ready to transition to Python-based data science workflows.
  • Educational Level: Graduates or diploma holders seeking an executive-level understanding of how AI architectures drive modern digital commerce businesses.
Check Eligibility

About Indian Institute of Technology Roorkee

The Indian Institute of Technology Roorkee (IIT Roorkee) stands among India’s most distinguished institutions of higher education, known for its academic excellence, research leadership, and enduring contribution to technological advancement. With a rich legacy spanning over a century, the institute has consistently shaped engineers, innovators, policymakers, and industry leaders who have driven progress across sectors.

Recognized globally for its rigorous academic standards and cutting-edge research ecosystem, IIT Roorkee fosters a culture of intellectual curiosity, interdisciplinary collaboration, and practical problem-solving. Its academic framework combines strong theoretical foundations with real-world relevance, ensuring that learners are equipped to address complex, evolving industry challenges.

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IIT Roorkee Campus
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Recognition & Rankings

NIRF India Rankings 2025 – Engineering

Ranked 6th in India in the Engineering category 2025, reflecting sustained excellence in technical education, research depth, and academic rigour.

QS World University Rankings: Asia 2026

Ranked 12th in Southern Asia in 2026, reinforcing IIT Roorkee’s standing among the region’s leading technical institutions and highlighting its growing academic influence and reputation.

India Today 2025 Rankings

Recognised among the Top Engineering Institutions in India Today's national rankings, highlighting strong academic reputation and nationwide student preference.

Why Choose IIT Roorkee?

A Legacy of Excellence

With over 175 years of legacy, IIT Roorkee stands among India’s oldest institutions—shaping generations of industry and technology leaders.

Academic Depth with Industry Relevance

Programmes are designed to bridge theory with application, enabling professionals to apply learning directly in business and technology contexts.

Esteemed Faculty & Research Expertise

Learn from distinguished faculty recognised for their research, academic depth, and ability to translate complex concepts into practical insights.

Future-Focused Curriculum

Curriculum reflects emerging technologies, industry shifts, and evolving market needs—helping professionals stay current and competitive.

Executive-Centric Learning Experience

Structured for working professionals, combining live sessions, applied learning, and peer interaction for meaningful outcomes.

Prestigious Certification

An IIT Roorkee credential enhances professional credibility and signals readiness for advanced roles.

A Strong Professional Network

Engage with a high-quality peer group, fostering collaboration, perspective, and long-term professional connections.

Case-Based, Application-Focused Learning

Learning is driven through real-world cases and scenarios, strengthening analytical thinking and decision-making ability.

Immersive Campus Experience (Optional)

Campus immersion enables direct faculty interaction, peer engagement, and a deeper connection to the IIT ecosystem.

Who is this Program for?

This program is designed for professionals who want to apply artificial intelligence to real business decisions within digital commerce environments:

Who is this program for
Professionals in e-commerce, quick commerce, retail, and digital businesses seeking to build AI-driven decision-making capabilities.
Data and analytics professionals looking to transition from traditional analytics tools to Python-based AI and Machine Learning workflows.
Entrepreneurs and founders in e-commerce and quick commerce who want to use applied AI to scale operations and improve unit economics.

Leading You Through the Age of AI

A legacy institution shaping the future of technology and innovation

Enabling innovation with responsibility and ethical foresight

Research-backed insights powering real-world transformation

Executive education designed for the digital and intelligent economy

Industry Insights

$6.9T

$6.8–$6.9 trillion in global e-commerce sales is expected in 2026, accounting for over 21% of total retail worldwide.

Forbes

83%

of companies say AI improves customer retention, and 80% use it to strengthen customer relationships.

McKinsey & Company

10X

Businesses that combine AI with strong digital marketing strategies achieve 10× higher shareholder returns compared to their peers.

LinkedIn

80%

of what users watch on Netflix is driven by AI recommendations.

Netflix

Key Benefits of the Program

Move from Reporting to AI-Driven Decisions

Shift from static dashboards to predictive, data-driven decision-making using AI in eCommerce environments.

Understand How AI Powers Modern eCommerce

Learn how leading eCommerce and quick commerce companies scale using intelligent decision systems.

Lead AI Adoption in Business Functions

Gain the confidence to drive AI-led initiatives across operations, marketing, and customer experience.

Prepare for Roles in AI & Digital Commerce

Position yourself for future roles in AI-driven operations, product, and digital commerce leadership.

Apply AI to Core eCommerce Functions

Design intelligent systems for pricing, demand forecasting, recommendations, and fulfilment.

Enhance Customer Journeys with AI

Use AI to personalise discovery, improve engagement, and build intelligent customer experiences across digital commerce platforms.

Program Highlights

IIT Roorkee Certification

Earn a certificate from the Continuing Education Centre (CEC), IIT Roorkee, recognising applied expertise in AI-driven eCommerce decision-making.

Industry-Relevant AI Stack

Gain exposure to Machine Learning, Deep Learning, NLP, Generative AI, and Big Data used in modern eCommerce environments.

Expert Faculty Mentorship

Learn from IIT Roorkee's esteemed faculty who blend academic excellence with real-world business perspectives to deliver a practical and impactful learning experience.

Optional On-Campus Immersion

Participate in a 2-day Optional On-Campus Immersion featuring academic sessions, networking, resume review and project presentations.

Case-Based Learning

Analyse real business scenarios from eCommerce and quick commerce platforms to understand how AI models impact growth, operations, and customer experience.

Generative AI & Customer Systems

Understand applications such as conversational support agents, semantic search, and automated content generation.

Professional Networking

Learn alongside professionals from eCommerce, analytics, product, and operations backgrounds, fostering long-term collaboration.

Executive Reporting & Storytelling

Develop the ability to communicate AI insights clearly to business stakeholders and leadership teams with data-driven storytelling.

Skills You Will Gain

Customer Analytics
Demand Forecasting
Inventory Planning
Data-Driven Decision-Making
Dynamic Pricing Strategy
Generative AI Applications in eCommerce

Program Modules

Module 1: Foundations of AI & Data
Week Topic List
Week 1
  1. AI Evolution: Traditional E-commerce vs. AI-First & Q-Commerce.
  2. Data Types I: Structured Data (Transactions, Logistics, Inventory).
  3. Data Types II: Unstructured Data (Clickstream, Images, Reviews).
  4. The Data Pipeline I: Data flow from Clickstream --> Order Management.
  5. The Data Pipeline II: Integration with Logistics and Fulfillment systems.
  6. Case Study: Meesho: A Game-Changer in Indian E-Commerce.
Week 2
  1. Data Architecture: Introduction to Data Lakes and Warehouses.
  2. Real-Time Pipelines: Streaming data for immediate insights.
  3. Data Capture: Implicit signals (dwell time, heatmaps) vs. Explicit ratings.
  4. Identity Resolution: Stitching user journeys across Web, App, and Offline.
  5. Ecosystem Strategy: Platform-based growth and diversification.
  6. Case Study: Alibaba Group: Fostering an E-commerce Ecosystem.
Week 3
  1. Python for Retail: Key libraries (Pandas, PySpark) for commerce.
  2. Q-Commerce Economics: Unit Economics, Speed, and Profitability models.
  3. Fulfillment Models: 10-minute delivery vs. Next-day delivery logistics.
  4. Governance: Handling PII, GDPR, and DPDP compliance in retail.
  5. Case Study: Kent County Council: Implementing IT for E-Government .
  6. Case Study: The Ultimate Bluff: Partygaming.com .
Module 2: EDA & Visualization
Week Topic List
Week 4
  1. Data Hygiene: Automated cleaning of catalog data (missing attributes).
  2. Outlier Detection I: Identifying bulk buyers and resellers.
  3. Outlier Detection II: Detecting pricing glitches and anomalies.
  4. Feature Engineering I: Creating temporal features ("Days Since Last Purchase").
  5. Feature Engineering II: Behavioral features ("Avg Basket Size", "Return Rate").
  6. Case Study: Data Modelling and Management for Big Data.
Week 5
  1. Segmentation Logic: Introduction to K-Means Clustering.
  2. User Grouping: Implementing segmentation on transaction data.
  3. RFM Analysis I: Calculating Recency, Frequency, and Monetary scores.
  4. RFM Analysis II: Interpreting scores for marketing action.
  5. Cohort Analysis: Tracking customer retention month-over-month.
  6. Case Study: DesiFirangi.com: Building a Niche E-commerce Portal.
Week 6
  1. Geospatial Analytics I: Mapping demand density.
  2. Geospatial Analytics II: Heatmaps for Dark Store planning.
  3. Dashboarding 101: Building a "Command Center" in PowerBI/Tableau.
  4. Metric Tracking: Real-time monitoring of Order Volumes & Cancellations.
  5. Sales Estimation: Applying analytics to predict sales.
  6. Case Study: E-Commerce Analytics for CPG Firms (A).
Week 7
  1. Funnel Visualization: Mapping View --> Add-to-Cart --> Checkout.
  2. Drop-off Analysis: Identifying friction points in the user journey.
  3. Cart Abandonment: Analytics for recovery strategies.
  4. Advanced Storytelling: Visualizing conversion rates effectively.
  5. Visualizing Cohorts: Creating heatmaps for long-term retention.
  6. Visualization Project: Building the "Executive Dashboard" prototype.
Campus Immersion 1
Week Topic List
Week 8

2-Day Campus Immersion at IIT Roorkee

  1. Faculty Sessions.
  2. Industry Networking.
  3. Topic: Executive Reporting: Automating Weekly Business Review (WBR) slides.
  4. Workshop on Storytelling with Data.
  5. Peer Group Assignments.
  6. Q&A with Industry Mentors.
Module 3: Rec Systems
Week Topic List
Week 9
  1. RecSys Fundamentals: Understanding the User-Item Matrix.
  2. Sparsity Issues: Handling missing data in large catalogs.
  3. Collaborative Filtering I: User-Based vs. Item-Based approaches.
  4. Collaborative Filtering II: Matrix Factorization techniques.
  5. Content-Based Filtering: Using metadata and descriptions.
  6. The Cold Start Problem: Handling new users/items with no history.
Week 10
  1. Hybrid Systems: Combining behavioral data with product metadata.
  2. Context Awareness: Injecting Time, Weather, and Location signals.
  3. Session-Based Recs I: Handling anonymous users.
  4. Session-Based Recs II: Real-time product suggestions.
  5. Architecture: Latency requirements for live recommendations.
  6. Real-World Examples: Analyzing RecSys architectures in action.
Week 11
  1. Upsell Strategy: Algorithms for recommending premium versions.
  2. Cross-sell Strategy: "Frequently Bought Together" affinity mapping.
  3. Evaluation Metrics I: Precision@K and Recall.
  4. Evaluation Metrics II: NDCG (Normalized Discounted Cumulative Gain).
  5. Affinity Mapping: Association Rule Mining logic.
  6. Case Study: Housing.com: Disrupting the House Search Process.
Module 4: Forecasting & Ops
Week Topic List
Week 12
  1. Time Series 101: Decomposing Trend, Seasonality, and Noise.
  2. Statistical Models: Implementation of ARIMA.
  3. Prophet Model: Facebook's Prophet for retail forecasting.
  4. Event Modeling: Handling "Shock" events (Flash sales, Rain).
  5. Baseline Metrics: Calculating MAPE and RMSE.
  6. Case Study: The Internet of Things (IoT): Shaping the Future of E-Commerce.
Week 13
  1. Deep Learning: LSTMs for non-linear demand patterns.
  2. Hyperlocal Demand: Predicting demand per pincode/zone.
  3. Spike Detection: Managing high-velocity order influxes.
  4. Platform Strategy: Curated vs. Open Marketplace models.
  5. Supply Chain Stats: Interpreting optimization outputs.
  6. Case Study: Pepperfry.com: Turning the Tables on Disruption.
Week 14
  1. Inventory Balancing: Inter-store stock transfer algorithms.
  2. Perishability AI: Predicting wastage for fresh grocery.
  3. Replenishment Logic: Automated Re-order Point (ROP) calculation.
  4. Bullwhip Effect: Supply chain dynamics in perishables.
  5. Case Study: Warehousing Enhancements for E-Commerce Growth.
  6. Case Study: Easy Flower: Flowers Meet Business and Technology.
Week 15
  1. Route Optimization: Solving Vehicle Routing Problems (VRP).
  2. ETA Prediction: ML for accurate delivery time estimation.
  3. Batching Logic: Combining multiple orders for single riders.
  4. Rider Allocation: Matching supply to demand spikes.
  5. Case Study: Improving Last-Mile Productivity at Paack.
  6. Case Study: Snapdeal: A Nightmare or a Benefit in Reverse Logistics?
Week 16
  1. Price Elasticity: Calculating sensitivity to price changes.
  2. Dynamic Pricing I: Rules-based vs. AI-based strategies.
  3. Dynamic Pricing II: Reinforcement Learning for surge pricing.
  4. Markdown Optimization: Optimal discounting for clearance.
  5. Surge Logic: Algorithms behind peak-hour pricing.
  6. Case Study: "Lessons from More Than 1,000 E-Commerce Pricing Tests".
Module 5: Customer Analytics
Week Topic List
Week 17
  1. CLV Basics: Concept of Customer Lifetime Value.
  2. Marketing Mix (MMM): Budget allocation (Facebook vs. Google).
  3. Attribution Modeling I: Last-click vs. First-click.
  4. Attribution Modeling II: Algorithmic attribution.
  5. ROAS Optimization: AI in digital ad optimization.
  6. Growth Strategy: Data-led growth in competitive markets.
Week 18
  1. Transaction Fraud: Detecting stolen cards/payment anomalies.
  2. Abuse Detection: Identifying "Wardrobing" (Return abuse).
  3. Bot Detection: Stopping promo-code hunting scripts.
  4. Risk Pipelines: Real-time fraud detection architectures.
  5. Ethical Regulation: Regulatory challenges in internet models.
  6. Industry Example: PayPal/Stripe Real-time fraud pipelines.
Module 6: GenAI & NLP
Week Topic List
Week 19
  1. NLP Foundations: Tokenization and Sentiment Analysis.
  2. Entity Extraction (NER): Extracting Brand/Size from search.
  3. Vector DBs: Introduction to Embeddings.
  4. Semantic Search: Moving beyond keyword matching.
  5. Review Mining: Extracting product defects from user feedback.
  6. Case Study: Twiggle: E-commerce with Semantic Search.
Week 20
  1. LLM Integration: Fine-tuning LLMs (like ChatGPT) for commerce.
  2. RAG Architecture I: Retrieval Augmented Generation basics.
  3. RAG Architecture II: "Chat with Catalog" implementation.
  4. Support Automation: Flows for "Where is my order?" tickets.
  5. AI Agents: Deploying autonomous support agents.
  6. Industry Case: Klarna/Intercom - AI Support Agents.
Week 21
  1. Content Factory: Generating product titles and descriptions.
  2. Visual AI: Auto-tagging images (e.g., "Pattern: Floral").
  3. Multilingual: Real-time translation for Tier-2/3 markets.
  4. Voice Commerce: Speech-to-Text for mobile-first users.
  5. Generative Design: AI for marketing creatives.
  6. GenAI Ethics: Bias and hallucination in commerce.
Module 7: Capstone Project
Week Topic List
Week 22
  1. Problem Selection: Choosing a track (Recs, Churn, Pricing).
  2. Data Prep I: Acquiring the specific dataset.
  3. Data Prep II: Cleaning and Feature Engineering.
  4. Metric Definition: Business KPIs vs. Model KPIs.
  5. Execution Risk: Trade-offs between speed and stability.
  6. Case Study: 24x7 @ Full Speed: Accelerated Time to Market.
Week 23
  1. Baseline Modeling: Establishing a "dummy" model benchmark.
  2. Advanced Modeling: Hyperparameter tuning and iteration.
  3. Deployment I: Creating a Streamlit dashboard/API.
  4. Deployment II: Model serving and latency optimization.
  5. Insight Generation: Translating model output to business slides.
  6. Presentation Prep: Structuring the defense story.
Campus Immersion 2: Project Defense & Career Guidance
Week Schedule (2-Day Immersion at IIT Roorkee)
Week 24
  1. Final Capstone Defense (Hybrid): Project presentations.
  2. Peer Review & Feedback.
  3. Career Guidance: Resume reviews & AI roles.
  4. Strategic Scaling: Innovation in emerging markets.
  5. Case Study: Building India’s Leading E-Commerce Company: mjunction.
  6. Certification & Wrap-up.

Career Pathways in AI-Driven E-Commerce & Quick Commerce

E-Commerce Analyst
₹5 LPA – ₹12 LPA
Category Manager
₹10 LPA – ₹24 LPA
E-Commerce Manager
₹6.5 LPA – ₹18 LPA
Growth Manager
₹12 LPA – ₹30 LPA
Demand Planning Manager
₹8 LPA – ₹22 LPA
Pricing Analyst
₹6 LPA – ₹18 LPA
Customer Insights Analyst
₹6 LPA – ₹16 LPA
Operations Manager
₹7 LPA – ₹20 LPA
Product Manager
₹18 LPA – ₹35 LPA
IIT Roorkee Campus

Real-World Case Studies from Leading Brands

Learn through carefully curated case studies drawn from globally recognized and high-growth digital commerce brands. The program integrates practical business examples across modules to demonstrate how AI is deployed in real operational environments.

Participants will analyze strategic and operational cases such as:

  • Meesho – AI-led growth in Indian e-commerce
  • Alibaba Group – Ecosystem-driven commerce strategy
  • Pepperfry – Digital disruption in furniture retail
  • Snapdeal – Reverse logistics and operational challenges
  • PayPal / Stripe – Real-time fraud detection systems
  • Klarna / Intercom – AI-powered customer support agents
  • Housing.com – Recommendation and search innovation

These cases ensure that learning goes beyond theory and reflects real-world AI implementation across pricing, logistics, personalization, fraud detection, and customer engagement.

Tools you'll Master


The IIT Roorkee Learning Experience

  • Live Interactive Faculty Sessions
  • Real-World Industry Scenarios
  • Hands-On Application
  • Capstone Projects
  • Tools & Technologies
  • Peer-to-Peer Learning
  • Continuous Evaluation & Feedback

Program Outcome

Solve High-Impact eCommerce & Quick Commerce Challenges with AI

Apply AI, Machine Learning, and NLP to address real-world challenges across customer experience, pricing, supply chain, and hyperlocal operations.

Build End-to-End AI Solutions for Digital Commerce

Design, develop, and present complete AI solutions—from data pipelines to deployment—through a capstone focused on eCommerce and quick commerce use cases.

Design Intelligent Commerce Systems at Scale

Develop recommendation engines, search systems, and demand forecasting models used by modern eCommerce and quick commerce platforms.

Drive Data-Led Decisions Across Commerce Operations

Use AI to optimise pricing, inventory planning, fulfilment, and last-mile delivery in high-velocity commerce environments.

Extract Insights from Complex Commerce Data

Analyse transaction data, clickstreams, and customer behaviour to generate actionable insights across digital commerce ecosystems.

Translate AI Outputs into Business Impact

Convert model outputs into decisions that improve conversions, optimise operations, and enhance customer experience across eCommerce and quick commerce.

Communicate AI Insights to Business Stakeholders

Present data-driven insights effectively to leadership teams across product, marketing, and operations functions.

Tools & Technologies You Will Work With

Tool to Be Used Purpose Rationale
Power BI / Tableau Analytics & Business Intelligence Enables creation of executive dashboards, cohort analysis, funnel tracking, and real-time commerce performance monitoring for data-driven decision-making.
Shopify (Platform Context) E-Commerce Platform Integration Provides understanding of how AI models integrate with live commerce systems for catalog management, pricing optimization, and customer analytics.
Elasticsearch / OpenSearch Search & Navigation Optimization Powers scalable product discovery systems through indexing, ranking algorithms, and low-latency retrieval essential for high-traffic commerce environments.
Collaborative Filtering Models (UBCF, IBCF) & Association Rule Mining Recommendation Systems Used to design personalized recommendation engines, cross-sell/upsell logic, and "Frequently Bought Together" systems that improve conversion and basket value.
LLM-Based Chatbots & RAG Architectures Conversational AI & Customer Support Automation Enables deployment of AI-powered support agents, "Chat with Catalog" systems, and intelligent response automation to enhance customer experience.
NLP Models & Open-Source LLMs (Hugging Face) Sentiment & Review Intelligence Supports sentiment analysis, review mining, entity extraction, and unstructured data processing to extract actionable customer insights at scale.
Python AI & Machine Learning Development Builds end-to-end AI solutions from data processing to models for forecasting, pricing, and recommendations in eCommerce and quick commerce.

Admission Process

01
Submit Online Application

Complete the program application form with the required details.

02
Eligibility Review

Applications are evaluated against the prescribed eligibility criteria.

03
Selection by IITR Committee

Shortlisted applications are evaluated by the Programme Directors at CEC, IIT Roorkee.

04
Selection Notification

Selection offers are issued to approved candidates.

05
Confirm Enrollment

Secure your seat by completing the fee payment as per the program guidelines.

Program Certificate

IIT Roorkee Certificate Placeholder

*Sample certificate for illustrative purposes only.

Campus Immersion (Optional)

The 2-Day Campus Immersion at IIT Roorkee is designed to translate structured online learning into immersive academic and strategic engagement within a premier Institute of National Importance. The immersion integrates faculty interaction, applied AI discussions, executive communication workshops, and capstone evaluation in a collaborative campus environment. The immersion fee will range between ₹5,000 – ₹10,000, inclusive of food and lodging during the campus stay.

What's Included
  • Faculty-Led Academic Sessions Interactive in-person sessions with IIT Roorkee faculty aligned with program themes including AI strategy, executive reporting, and applied commerce intelligence.
  • Executive Reporting & Storytelling Workshop Hands-on workshop focused on automating Weekly Business Review (WBR) slides and translating AI model outputs into boardroom-ready business narratives.
  • Capstone Project Defense Participants present and defend their full-stack AI capstone before faculty and peers, receiving structured academic and industry feedback.
  • Peer Learning & Industry Networking Collaborative discussions, peer review sessions, and interaction with industry mentors to exchange applied insights from digital commerce environments.
  • Career & Strategic Guidance Focused sessions on AI roles, resume positioning, and scaling AI initiatives within organisational ecosystems.
  • Campus & Academic Ecosystem Exposure Opportunity to engage with the IIT Roorkee campus environment and experience its academic and research-driven culture firsthand.
What's Not Included
  • Travel Travel to and from IIT Roorkee campus.
  • Personal Expenses Any personal expenses incurred during the immersion period beyond the covered lodging and meals.

Program Fees

Fee Structure

Particulars Amounts
Program Fee ₹ 90,000
GST @ 18% ₹ 16,200
Total Fees ₹ 1,06,200

Fee Schedule

Payment Mode Installment Date Amount(₹)
Installment 1 Due within 3 Days of offer letter. ₹ 45,000+GST
Installment 2 25th June 2026 ₹ 45,000+GST
Total Fees
₹ 1,06,200

EMI Starting INR 3,791/month

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EMI Starting INR 4,669/month

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Withdrawl & Refund Policy

No refunds shall be applicable once the programme has commenced.

For refund requests made prior to the commencement of the programme, a 20% deduction of the total fee paid will apply. The remaining amount will be refunded; however, any taxes paid on the fee are non-refundable.

Program Coordinators

Prof. Eshan Bhatt

Prof. Eshan Bhatt

Program Coordinator

Indian Institute of Technology Roorkee

Prof. Rajat Agrawal

Prof. Rajat Agrawal

Program Co-Coordinator

Indian Institute of Technology Roorkee

A Glimpse of IIT Roorkee

IIT Roorkee Campus
IIT Roorkee Campus View
IIT Roorkee Buildings
IIT Roorkee Architecture
IIT Roorkee Campus Life

Frequently Asked Questions

What is the IIT Roorkee Executive Program in AI for E-Commerce & Quick Commerce?
The Executive Program in AI for E-Commerce & Quick Commerce, offered through the Continuing Education Centre (CEC), IIT Roorkee, is a 6-month programme designed to help professionals understand how artificial intelligence enhances digital retail operations. The programme covers recommendation engines, demand forecasting, pricing optimisation, customer analytics, and fulfilment efficiency in modern commerce environments.
Who should consider enrolling in this program?
The program is suitable for:
  • E-commerce and retail professionals
  • Product and operations managers
  • Data and analytics professionals
  • Entrepreneurs and founders
  • Professionals working in delivery or hyperlocal platforms
Does the program cover Generative AI applications in commerce?
Yes. The curriculum includes Generative AI in E-commerce use cases such as semantic search, automated customer support, content generation, and intelligent catalog interaction systems.
Is this an online program?
The program is delivered through live online sessions with a campus immersion component, making it closer to a structured e commerce certification course online rather than a self-paced learning module.
What certification will I receive after completion?
Participants who successfully complete the program receive a certificate from IIT Roorkee’s Continuing Education Centre, recognised among advanced ecommerce certifications for applied AI learning.
Will I work on practical projects during the program?
Yes. Participants complete a full-stack capstone project where they apply AI techniques to solve a real commerce problem such as recommendation, churn prediction, or pricing optimisation.
How can this program support career growth?
The program helps professionals move from operational or reporting responsibilities to roles that require data-backed decision-making. By understanding how AI powers pricing, forecasting, recommendations, and customer experience, participants become better equipped to contribute to product, analytics, and operations strategy.