π± Dragons: FreshLink
ββββββββββββββββββββββββββββ
CONS EXTRACTION:
Capability? Needs?
Cold-chain micro-hubs Farm-to-table logistics
AI demand forecasting Restaurant food waste
Route optimization Delivery cost challenges
β² β±
Deliverable? β Sellable?
18% waste reduction Cost savings model
30% delivery savings 2-3 day freshness
β± β²
Solutions? Offering?
Optimize supply+demand "Revolutionizing
Traceability platform farm-to-table logistics"
π¨ WEAKEST LINK: Left side - Can AI actually predict restaurant demand accurately enough?
π§ͺ BREAK TEST: Test demand forecasting accuracy vs actual restaurant orders
- Cost: 1 month, 5 restaurants, $1K
- Decision rule: If <70% accuracy β improve algorithm, if >85% β expand pilot
EVIDENCE SHOWN:
β Weak: Specific numbers (18%, 30%) but no validation source shown
GRADE: 2/6
- Focus (2): Clear customer (urban restaurants) and problem (logistics)
- Evidence (0): Claims without supporting data
- Experiment (0): Core forecasting assumption not tested
ONE LINE: Clear problem-solution fit but unvalidated demand forecasting claims.