📚 Sport Obermeyer
Core Lesson: Demand forecasting, uncertainty
📋 Overview
| Attribute | Detail |
|---|---|
| Subject | Operations |
| Core Lesson | Demand forecasting, uncertainty |
| Source | HBS / Top MBA Case |
🕰️ Background
Sport Obermeyer (ski apparel) faced the classic fashion forecasting problem: 50% of each season’s styles are new, demand is unpredictable, and 95% of production must be committed before the season begins. Over-forecasting creates markdowns; under-forecasting creates lost sales. The company loses millions annually to forecast error.
❓ The Central Problem
How can a fashion company reduce forecasting risk when products must be committed months before demand is known? Sport Obermeyer uses a ‘committee consensus + mathematical modeling’ approach to production planning under uncertainty.
📊 Analysis
Detailed strategic and operational analysis covered in the background and problem sections above. This case is taught in core Operations courses at HBS, Wharton, and Kellogg.
🔑 Key Lessons
- Demand forecasting accuracy improves with independent forecasts aggregated (wisdom of crowds within the buying committee)
- Two-phase production (early commitment of predictable styles, late commitment of uncertain styles) reduces total forecasting error
- Variance of forecast disagreement among committee members is a better predictor of demand uncertainty than any single forecast
- Flexible sourcing (domestic for late/uncertain orders; China for early/predictable orders) trades unit cost for demand responsiveness
🎓 Discussion Questions
- What operational principles from this case are transferable to other industries?
- How does this case illustrate the relationship between operations decisions and financial performance?
- What are the limitations or risks of the strategy employed here?