Product Management for Optimization
summary
Claims that operations-research optimization sets the right price and cost, and that 1% optimization saves millions for large companies. Shows concrete tools: Excel solvers, Python libraries and external solver plugins named clex and Kobi. Gives examples that actually run — dynamic pricing at booking com, routing and pricing for Uber, supply‑chain footprint decisions for Adidas/Amazon/PepsiCo — and warns of real tradeoffs: long runtimes (1 hour 0→90% then 1 hour 90→100%) and limited root‑cause explainability.
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chapters (11)
- 0:00Optimization in product management
- 1:37Prescriptive analytics and optimization
- 3:00Core components of optimization
- 5:07Optimization in daily life
- 7:13Why big companies use optimization
- 9:43Cost minimization in supply chains
- 10:49Pricing optimization for revenue
- 11:52Real-world optimization use cases
- 13:15Developing optimization solutions
- 15:19When to use optimization
- 17:45Conclusion and AI comparison
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