Executive Programme in AI for E-commerce & Quick Commerce
Use machine learning and generative AI for recommendations, forecasting, pricing and support in online and quick commerce.
- Live online classes
- Hands-on with real data
- Modern AI stack
- Capstone project
75% seats filled · Applications close 30 November 2026
Speak to a programme expert
- Duration
- 6 months
- Mode
- Online + campus immersion
- Schedule
- Saturdays & Sundays
- Programme fee
- ₹90,000 + GST
- Eligibility
- Any graduate
- Starts
- 17 January 2027
Programme overview
The Executive Programme in AI for E-commerce & Quick Commerce shows commerce professionals how to turn their store, app and supply-chain data into better decisions — from what to stock in a dark store tomorrow to which shopper should see which offer today.
You’ll learn the machine learning, NLP and generative AI behind recommendations, demand forecasting, dynamic pricing and AI support agents, and build them hands-on with real commerce data under the guidance of faculty and industry practitioners.
Who is this programme for?
Eligibility: Any graduate.
E-commerce and retail professionals
Category, growth and marketplace managers who want to run their business on data and AI.
Data and analytics professionals
Analysts and engineers who want to specialise in commerce problems and models.
Founders and D2C entrepreneurs
Business owners building smarter stores, apps and quick-commerce operations.
Why this matters now
Key benefits
Move from reports to decisions
Use models to decide pricing, stock and offers instead of reading dashboards.
Personalise at scale
Build recommendation and segmentation systems that lift basket size.
Forecast with confidence
Predict demand by store, hour and SKU to cut stock-outs and waste.
Price smarter
Design dynamic pricing that protects margin and wins customers.
Automate support
Launch GenAI assistants that answer shoppers in seconds.
Lead AI projects
Scope, staff and measure AI initiatives with business impact.
Programme highlights
Live online classes
Weekend sessions with faculty, recorded for revision.
Hands-on with real data
Work on anonymised order, catalogue and delivery data.
Modern AI stack
Python, SQL, BI tools and LLM frameworks.
Capstone project
Solve a real commerce problem end to end.
Industry masterclasses
Sessions with leaders from retail and quick commerce.
Case-based learning
Learn from how leading stores and apps use AI.
Peer network
Learn alongside managers, analysts and founders.
Certificate of completion
A credential recognised across the industry.
Curriculum
A practical, module-by-module journey. Each module ends with a case study or hands-on assignment.
01 Foundations of AI and commerce data
- How online and quick commerce make money
- Data types, pipelines and quality
- Python and SQL for analysts
- Data privacy and governance
02 Exploratory analysis and dashboards
- Cleaning order and catalogue data
- RFM analysis and customer segments
- Funnels, cohorts and retention
- Building dashboards that drive action
03 Recommendation systems
- Collaborative and content-based filtering
- Hybrid recommenders
- Measuring lift with A/B tests
- Case study: a fashion marketplace
04 Campus immersion I
- Live sessions with faculty on campus
- Peer learning and group work
- Storytelling and presentation workshop
05 Forecasting and operations
- Time-series forecasting
- Inventory and replenishment models
- Delivery routing and slotting
- Dynamic pricing strategies
06 Customer analytics
- Customer lifetime value
- Marketing attribution
- Churn prediction
- Fraud and returns abuse detection
07 Generative AI and NLP
- Semantic product search
- Retrieval-augmented generation (RAG)
- AI shopping and support agents
- Generating product content safely
08 Capstone project
- Pick a business problem
- Build and evaluate the model
- Present the business case to a panel
09 Campus immersion II
- Capstone presentation to a faculty panel
- Career guidance and networking
- Certificate ceremony
Real-world case studies
A 10-minute grocery app
How hourly demand forecasts decide what each dark store stocks.
A fashion marketplace
Recommendations that raised repeat purchases by a third.
A furniture store online
Using visual search to help shoppers find the right piece.
A value marketplace
Pricing and logistics built for small-town shoppers.
A payments company
Real-time models that stop fraud at checkout.
A D2C beauty brand
A GenAI assistant that answers 70% of support chats.
Career pathways
Roles our learners grow into, with typical salary ranges in India.
| Role | Typical salary |
|---|---|
| E-commerce analyst | ₹5–12 LPA |
| Category manager | ₹10–22 LPA |
| Growth / CRM manager | ₹12–25 LPA |
| Data scientist, commerce | ₹12–30 LPA |
| Pricing and revenue manager | ₹14–28 LPA |
| Supply-chain analytics lead | ₹15–30 LPA |
| Product manager, commerce | ₹18–35 LPA |
Salary ranges are indicative, based on public job-market data. The programme does not guarantee placement.
Tools you’ll use
| Tool | What you’ll use it for |
|---|---|
| Python | Data analysis and machine learning models |
| SQL | Querying order, catalogue and customer data |
| Power BI / Tableau | Dashboards for business teams |
| Shopify | Storefront data and experiments |
| Elasticsearch / OpenSearch | Product search and relevance |
| LLM frameworks | Building RAG assistants and AI agents |
Programme outcomes
By the end of the programme you will be able to:
01
Frame commerce problems as AI problems with clear business value
02
Build recommendation, forecasting and pricing models
03
Turn data into insights and decisions leaders act on
04
Design GenAI assistants for shoppers and support teams
05
Measure the impact of AI with experiments
06
Lead AI projects with technical and business teams
Admission process
Apply online
Fill in the short application form and pay the application fee.
Eligibility review
Our team checks your education and experience.
Selection
A short call or interview with the programme committee.
Offer letter
Selected candidates receive an offer by email.
Confirm your seat
Pay the first instalment or set up EMI to enrol.
Earn your certificate
Successful participants receive a certificate of completion from MordenTech, a credential recognised by employers across industries.
Awarded to participants who meet the attendance and assessment requirements. The certificate shown is a sample, for illustration only.
Campus immersion
Spend two to three days on the MordenTech campus: live sessions with faculty, a storytelling workshop, your capstone presentation, and time to network with classmates and industry guests.
The immersion is optional and costs ₹5,000–₹10,000, including food and stay on campus. Travel and personal expenses are not included.
Fee structure
| Item | Amount |
|---|---|
| Application fee (one-time) | ₹1,000 |
| Programme fee | ₹90,000 |
| GST (18%) | ₹16,200 |
| Total programme fee | ₹1,06,200 |
The total excludes the application fee. No refunds after the programme starts; see the refund policy.
Payment schedule
| Instalment | Amount | When |
|---|---|---|
| First instalment | ₹45,000 + GST | Within 7 days of your offer letter |
| Second instalment | ₹45,000 + GST | Before the halfway point of the programme |
Easy EMI options
Pay for AI for E-commerce in easy monthly instalments through our lending partners.
24 months
- Low-cost EMI
- Smallest monthly amount
- Subject to lender approval
Programme faculty
Learn from faculty and practitioners who teach what they do.
Prof. Ritu Sharma
Twenty years of research in machine learning and operations analytics.
Prof. Vikram Rao
Teaches digital strategy and has advised several unicorn start-ups.
What our learners say
“The capstone was close to my real job — I used the model at work before the programme ended.”
“Weekend classes made it possible alongside a demanding role, and the faculty were superb.”
“The campus immersion and peer network were worth it on their own.”
In the news
MordenTech launches AI programmes for working professionals
New live online programmes in AI for commerce, data science and generative AI.
Faculty win national award for research in AI
The award recognises work on language models for Indian languages.
First batch completes campus immersion
Over 120 professionals presented capstone projects to a faculty panel.
Frequently asked questions
Do I need to know coding?
Is generative AI covered?
What is the capstone?
Will this help me switch roles?
Are the programmes online?
Who can apply?
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