🚧 Edge Cases & Contingency Planning

Thanks for the detailed brief — this gives a solid picture of the system. Below is a comprehensive list of edge cases and potential failure scenarios, along with recommended actions or mitigations for each:

🚧 Edge Cases & Contingency Planning

1. Farmer creates a contract but later cancels

• Risk: Driver loses time/resources.
• Mitigation:
  • Introduce a cancellation window with penalties for late cancellations.
  • Provide fallback driver re-routing logic for canceled jobs.
  • Allow driver to rate or flag unreliable farmers.

2. Driver accepts a contract but doesn’t show up

• Risk: Tomatoes spoil; farmer loses income.
• Mitigation:
  • Penalize no-shows via platform trust score.
  • Backup driver notification system within 30 mins of no-show.
  • Auto-escalate issue to support or nearby drivers.

3. Poor internet connectivity in rural areas

• Risk: Delayed contract sync or failed updates.
• Mitigation:
  • Offline message queuing and retry sync.
  • Allow SMS fallback or IVR-based interaction for key contract steps.
  • Ensure very low-bandwidth design for WhatsApp interactions.

4. Driver doesn’t get accurate location or directions

• Risk: Delayed pickup, fuel waste.
• Mitigation:
  • Enable GPS pin sharing via WhatsApp.
  • Allow farmers to submit landmark-based descriptions.
  • Offer map snapshot or turn-by-turn directions.