MBA: Retail business, Merchandising, and E-commerce (2026)

Apply Reilly's law of retail gravitation to estimate a store's trading area by balancing population and travel distance, revealing how far customers will travel to your location.

Explore how omnichannel retail blends showrooming and webrooming, balancing store touch and online reach with price consistency, varied assortment, and efficient inventory to boost repeat purchases.

Analyze the Amazon Fresh-like dataset for the assignment to calculate total revenue by category and product, plus revenue by country, and create pivot charts and pivot tables to summarize findings.

Explore chart types like line, bar, pie, donut, column, and scatter to visualize data, and connect these visuals with pivot tables, histograms, and normal distribution concepts.

Create and analyze charts in Excel to compare actual sales against targets, using bar and line charts, axis adjustments, and a secondary axis to reveal performance trends.

Learn how customer relationship management drives customer experience, retention, and lifecycle in omnichannel retail, applying 80/20 insights, market basket analysis, rfm, and clv to grow loyalty.

Learn market basket analysis, a data mining technique retailers use to identify products often bought together, enabling cross-selling, optimal shelf layout, product bundling, and targeted promotions.

Explore market basket analysis by calculating transaction counts, item probabilities, and lift to identify positively correlated product pairs like vegetables and baby products.

Compute average revenue per user, apply the retention formula (1 divided by churn rate), and use a 20 percent profit margin to determine customer lifetime value.

Apply a real-world case study on warehouse layout optimization using ABC ranking, Pareto principle, slotting efficiency, and congestion metrics to cut walking distance and speed order fulfillment.

Build a foundation in retail finance by mastering balance sheets, income statements, and cash flow statements. See how assets, liabilities, and equity shape cash flow.

Learn to apply the strategic profit model in retail by linking net profit margin and asset turnover to improve return on assets, using inventory, accounts receivable, and fixed assets.

Explore a data-driven case study on selecting optimal store locations using geospatial data, normalization and inverse scoring, and a weighted composite score to rank 100 pin codes.

Balance stock levels to avoid overstocking and stockouts, and apply the inventory optimization framework to improve cash flow, holding costs, and customer experience.

Learn how to tailor safety stock using ABC and ABC XYZ inventory optimization, balancing lead time, forecast accuracy, and margins with service level targets to avoid one-size-fits-all approaches.

Learn how to use economic order quantity to minimize total inventory cost by balancing ordering and holding costs, and determine the optimal order quantity Q to manage the reorder level.

Compute EOQ with no lead time using demand rate, ordering cost, and 20% holding cost, then incorporate lead time to determine replenishment level and ordering interval.

Learn to optimize gmroi by balancing gross margin, cost of goods sold, and average inventory, while tracking sales to stock ratio and return on asset across merchandise and corporate levels.

Master abc analysis to prioritize inventory, identify high-revenue sku, and allocate stock across a, b, and c categories to maximize sales and profitability.

The lecture explains the direct-to-consumer model, contrasting it with traditional retail where manufacturers bypass middlemen to reduce costs through direct shipping and logistics partnerships.

Discover how private label and white label brands use contract manufacturers to sell your own-branded supplements and nutrition products, from MOQs and quotes to branding and licensing.

Choose private label or white label products based on audience, then secure licenses and contract manufacturers, brand and list online, and market with influencers to scale.

Explore how delivery speed impacts customer loyalty in a case study, using data to identify thresholds and an optimal delivery time, plus retention, NPS, tickets, and loyalty score.

Develop a dynamic discount strategy for an e-commerce platform by using user type, cart value, discount type, and price sensitivity to boost conversions while maintaining margins.