AI Recovery Decision
Cart #RC-1427 · Wireless Tablet · ₹6,500
#RC-1427
₹6,500 · Price Sensitive
Step 3 of 7 · Peak window
01
Recovery segment
Price Sensitive
02
Default strategy
5% discount
03
Merchant rules + context
Conflict detected
04
Final decision
Urgency / low-stock reminder (no additional discount)
Context evaluated
The segment default is never applied blindly.
Merchant rules
- · Maximum discount 10%
- · Product already carries a 7% promotional discount
- · Inventory low — 4 units remaining
Customer context
- · Prior orders used offers
- · 3 product views in the last 24 hours
AI reasoning
Why this action, for this customer
- 01The customer is already receiving a 7% promotional price — stacking another 5% would breach margin intent.
- 02Low inventory creates a stronger, cost-free motivator than a deeper discount.
- 03Default discount strategy is rejected in favour of an urgency reminder.
Decision type
OVERRIDEUrgency / low-stock reminder (no additional discount)
- Incentive
- None
- Timing
- 30 minutes
- Channel
- Confidence
- 84%
Executed automatically — within your autonomy limits
Recovery window
Recovery value decays fast after abandonment
Peak window · abandoned 1h ago
Recovery sequence
The agent ladders touches instead of firing once
- +1h
Reminder — no incentive
WhatsAppScheduledSending now — within autonomy limits
- +6h
Social proof + saved cart link
EmailScheduledQueued in the escalation ladder
- +20h
Final reminder — still no incentive
WhatsAppScheduledQueued in the escalation ladder
- Each response state feeds back into the Learn stage — bounces retire a channel, opens without clicks strengthen the next offer.
Objective
Optimizing for profit-efficient recovery — recover revenue at the lowest necessary incentive cost.
Simulated AI decision output for demonstration purposes.