Retail Business & Domain (Data Science) with GOURI SHANKAR

Want to understand how retail and direct-to-consumer (D2C) businesses operate and how data analytics and AI/ML help drive business growth?

In this personalized 1:1 session, I will help you understand retail business fundamentals, customer purchasing behavior, product performance, order management, revenue metrics, and real-world analytics use cases.

Drawing on my experience working with Country Delight, I will explain practical business problems and analytical approaches relevant to consumer brands, subscription-based businesses, and retail operations.

What You Will Learn

1. Retail & D2C Business Fundamentals

• Retail business models and D2C operations
• Customer acquisition, activation, engagement, and retention
• Product catalog, orders, deliveries, and customer lifecycle
• Subscription-based and recurring-purchase business models

2. Retail Business KPIs

• Revenue, Average Order Value (AOV), and order frequency
• Customer Lifetime Value (CLTV)
• Repeat purchase rate and customer retention
• Customer acquisition cost (CAC)
• Cancellation, returns, and customer complaint metrics, where applicable

3. Customer Analytics & Segmentation

• Customer purchasing patterns and behavior analysis
• RFM segmentation (Recency, Frequency, Monetary Value)
• High-value, loyal, dormant, and at-risk customer identification
• Cohort analysis and repeat-purchase trends

4. Sales & Product Analytics

• Product-wise and category-wise sales performance
• Basket analysis and product affinity
• Cross-selling and upselling opportunities
• Demand forecasting and product-level performance analysis

5. AI/ML Use Cases in Retail

• Repeat-purchase and purchase-propensity prediction
• Customer churn and retention modeling
• Next Best Offer and personalized recommendations
• Customer Lifetime Value prediction
• Product demand forecasting
• Customer complaint and feedback analytics

6. Real-World Business Problem Solving

Understand how to translate retail business challenges into analytical questions, define KPIs, identify relevant datasets, engineer features, build analytical solutions, and measure business impact.

7. Career & Interview Guidance

• How to understand a retail business case
• How to approach retail analytics interview questions
• How to explain customer analytics and AI/ML projects
• How to connect model performance with business outcomes

Who Should Book This Session?

• Data Scientists and Data Analysts entering retail or D2C
• Professionals preparing for retail analytics interviews
• Freshers who want practical business-domain knowledge
• AI/ML professionals exploring retail use cases
• Professionals working with e-commerce, FMCG, subscription commerce, or consumer brands

Session Format

A personalized 1:1 online consultation tailored to your experience and learning objectives.

Bring your questions, interview scenarios, project challenges, or a retail business problem you want to understand.

What You Will Gain

By the end of the session, you will understand key retail business concepts, important KPIs, customer purchasing behavior, and practical ways to apply analytics and AI/ML to improve sales, retention, customer value, and operational efficiency.