Ace the Live Case Study & Data Presentation

Detailed Explanation & Step-by-Step Concepts

For mid-to-senior roles in Merchandising, Buying, Planning, and Sourcing, companies frequently assign a live case study or take-home analytical challenge. You might be given raw point-of-sale (POS) data, a budget constraint, or an incomplete assortment plan and asked to present your findings to a panel of directors.

1. Deconstruct the Prompt: Identify the core business problem. Is the brand suffering from low inventory turnover? Are markdowns too high? Is the assortment lacking category breadth?

2. Structure the Presentation Like a Pyramid: Lead with your conclusion and key recommendation. Do not walk the panel through every raw data point chronologically; instead, synthesize the data into 3 clear, actionable strategic pillars.

3. Connect Numbers to Narrative: In fashion, numbers tell a story. If your OTB (Open-to-Buy) analysis shows a 30% drop in sweater sales, explain why based on the data (e.g., late deliveries, uncompetitive price points, or poor color assortment) and present a data-backed solution for the upcoming season.

Key Definitions

  • Open-to-Buy (OTB): The budget available for a retailer to purchase new merchandise over a specific planning period, balancing planned sales, stock levels, and markdowns.
  • Sell-Through Rate: The percentage of inventory sold to consumers compared to the total stock received from the vendor over a specific time period.
  • Markdown Optimization: The strategic reduction of retail prices to clear slow-moving inventory while maximizing gross margin recovery.

###

Real Fashion Industry Case Study / Example

Scenario: A candidate for a Planning Manager role is given an Excel spreadsheet of underperforming denim styles and asked to present a recommendation.

Weak Presentation: The candidate reads line-by-line numbers from the spreadsheet for 15 minutes, exhausting the interview panel.

Strong Presentation: The candidate opens with a 1-minute executive summary: “Based on a 42% sell-through rate across our skinny denim category, we are over-assorted in traditional fits and under-assorted in wide-leg silhouettes. I recommend reallocating 35% of our Q4 denim budget into high-waist wide-leg styles while cutting slow-moving washes by half, projected to recover $450k in gross margin.”

Common Pitfalls & Best Practices

  • Pitfall: Overloading slides with dense data tables and tiny 10-point font text.
  • Best Practice: Visualize your data. Use clean bar charts, line graphs, and clear callout boxes. Let the slides support your spoken narrative, not replace it.
  • Pitfall: Ignoring inventory risk and financial realities in favor of purely creative ideas.
  • Best Practice: Always tie your creative and merchandising proposals back to gross margin, inventory turnover, and cash flow.

Practical Hands-on Activity & Assignment

Take a sample retail spreadsheet (or mock data set of 50 SKUs):

1. Calculate the sell-through percentage and gross margin return on investment (GMROI) for each category.

2. Build a 3-slide presentation deck: Slide 1: Executive Summary & Problem Statement; Slide 2: Data Insights & Visualizations; Slide 3: Actionable Recommendations & Projected ROI.

###

Key Takeaways

– Lead with your conclusion and recommendations; do not make executives wait for the punchline.

– Synthesize raw data into clear visual charts that tell an intuitive business story.

– Always connect your merchandising or creative strategies directly to financial performance (margins, turnover, OTB).