Phase 3: Features, Prioritization + PRD

Step 1: Brainstorm Solutions (Diverge)

Cooking Rescuers and Crisis Responders discover items are out-of-stock only after order confirmation because inventory is not validated at the picker level before confirming orders, leading to broken trust, refund friction, and permanent loss of repeat usage at the moments of highest emotional need.

Solutions:

1. Pre-Confirmation Picker Validation

   • Description: Order is held in a "Validating" state for 60 seconds after payment. Picker app prompts rapid item availability check before order is confirmed to user. If all items available → confirmed. If any OOS → Smart Substitution screen is shown to user before they see confirmation.
   • Assumption: 60-second validation delay is acceptable to users compared to post-order OOS shock
   • Category: High Confidence

2. Post-Order OOS Recovery Flow

   • Description: If OOS slips through post-confirmation, user gets an instant actionable notification with 3 choices — Accept substitute (with image + price diff shown), Remove item + deliver rest with partial refund, Cancel full order with instant 10-second refund. If no response in 2 mins → auto-apply safest default (remove item + partial refund). Never silently deliver wrong item.
   • Assumption: Giving users control and a clear default reduces panic and preserves trust even in failure
   • Category: High Confidence

3. Real-time out of stock Notification and Auto Cart Sync

• Description: Even if a user adds items to cart and returns later (e.g., after 1 hour), the system continuously validates cart items in the background; if any item goes out of stock in that duration, the user is notified instantly (or on app open) and the item is auto-removed or marked unavailable before checkout.
• Assumption: Users prefer being proactively informed about stock changes during their cart lifecycle rather than discovering it at order or delivery time.
• Category: High Confidence

1. Checkout-time Inventory Lock

• Description: Lock inventory (selected items )for 2–3 minutes once user enters checkout

• Assumption: Temporary reservation reduces failed orders until complete buyout.

• Category: High Confidence

  5. Smart Substitution Engine

• Description: Suggest closest alternatives by brand/price/quantity match when OOS is detected — used both in the pre-confirmation substitution screen and the post-order recovery flow.

• Assumption: Users accept substitutes in urgent scenarios when shown clearly with image and price difference.

• Category: High Confidence

6. Dynamic ETA + Availability Tradeoff Toggle

• **Description: “**Get in 10 min (limited items)” vs “Get in 20 min (full availability)”
• Assumption: Users are willing to trade speed for certainty
• Category: High Confidence

7. Post-order OOS Recovery Flow

• Description: If item goes OOS after order then instant options like:
  • Replace
  • Remove
  • Cancel item with refund
• Assumption: Control reduces frustration
• Category: High Confidence

1. Cross-store Fulfillment

• Description: Fetch item from nearby store if unavailable locally
• Assumption: Logistics complexity won’t heavily impact delivery time though minor impact could be there.
• Category: Low Confidence

1. Predictive Inventory (AI-based)

   • Description: Predict fast-moving SKUs and pre-stock nearby stores
   • Assumption: Demand patterns are predictable enough.
   • Category: Low Confidence

2. Restock ETA Display

   • Description: we can show like “Back in 15 mins / 1 hour” for OOS items
   • Assumption: Users are willing to wait if informed
   • Category: Low Confidence
   1. Cart Expiry Timer for High-demand Items
   • Description: Show timer: “Item reserved for 2 mins”
   • Assumption: Urgency reduces cart abandonment + stock conflicts
   • Category: Low Confidence
   1. Cross Inventory pooling Network
   • Description: All nearby dark stores act as one unified inventory system
   • Assumption: Real-time syncing across stores is feasible at scale
   • Category: Moonshot

3. AI “OOS Prevention Engine”

   • Description: System predicts stockouts + auto-triggers:
     1. Rebalancing inventory
     2. Dynamic pricing (reduce demand)
   • Assumption: AI can influence both supply and demand in real-time
   • Category: Moonshot

4. “Never OOS” Membership (Premium Guarantee)

• Description: Paid users get priority inventory allocation
• Assumption: Users will pay for reliability in urgent use cases
• Category: Moonshot

Step 2: Prioritize Smartly (From Possibility to Focus)

STEP 5: Identify Pitfalls & Mitigations

Step 6: PRD Creation

here is the link to my personalized PRD