🤖 AI Summary:
Robot Co. must decide whether to enter the Singapore restaurant market with Gundam-Ⅱ, a delivery robot, and determine optimal rental pricing. The case combines 3D packing optimization, labor productivity analysis, market sizing, and risk assessment in the context of post-COVID service transformation.
💡 Key Insights:
- Value-based pricing is superior to cost-based pricing when significant competitive moats exist (5-year patent protection, 2x efficiency advantage)
- Candidate quality is revealed by recognizing unprompted that robots can operate 24 hours continuously versus 8-hour human shifts—a 3x effective capacity multiplier
- Market adoption assumptions are critical; the case assumes 70% restaurant conversion despite luxury dining segment resistance to automation
- 3D packing optimization reveals attention to detail; the ’tricky’ answer of 105 drinks (vs. intuitive 102) tests spatial reasoning under constraints