marketplace.sell_used_furniture

Sell pre-owned furniture through TOMO partners (Furlenco / Rentomojo / OLX / Quikr / Pepperfry second-life). Photo-based instant estimate → at-home inspection → pickup + payout. TOMO is the listing/quote surface; partner handles money, pickup truck, and resale.

1. Identity

Intent ID: marketplace.sell_used_furniture
Vertical: marketplace
Verb: sell
Noun: used_furniture
Primary agent: MarketplaceAgent
Sub-agents (DATA only): LogisticsAgent (pickup truck + dismantle crew), SafetyAgent (visit-safety flags)
Single-intent → completed action: photo estimate → at-home inspection → pickup → payout
Handoff layer: L2

2. NL Coverage

"sell my sofa"
"olx sofa pickup nakkalgutta"
"sell my dining table"
"furlenco buyback for my bed"
"sell my wardrobe at home pickup"
"instant quote for my sofa"
"sell old furniture"
"pepperfry buyback"
"sell my office chair"
"what is my king bed worth"

Must NOT match: "buy used furniture", "donate furniture" (→ separate donation intent if exists), "scrap furniture".

3. Input (slots)

Slot	Type	Required	Source
`category`	enum	HARD	NL
`material`	enum	SOFT	NL
`purchase_year`	int	SOFT	NL
`condition_self_declared`	enum [like_new, superb, good, fair]	HARD	quiz
`dimensions_cm`	obj `{l,w,h}`	HARD	quiz
`weight_kg_approx`	int	SOFT	partner-side estimate
`photos`	url[]	HARD	seller upload (3-6 photos)
`pickup_address`	geo	HARD	saved or NL
`floor`	int	HARD	quiz (lift check)
`lift_available`	bool	HARD	quiz
`pickup_slot`	datetime	HARD	partner calendar
`payout_method`	enum [upi, bank_transfer, store_credit]	HARD	NL

4. Provider Tools

get_photo_estimate(category, material, purchase_year, condition_self_declared, dimensions, photos) → {estimate_inr, estimate_ttl_min, estimate_id}
schedule_inspection(estimate_id, pickup_address, slot, floor, lift_available) → {visit_id, inspector_name, eta_min, lift_surcharge_inr}
submit_inspection_report(visit_id) → {final_offer_inr, delta_inr, downgrade_reasons[]}
accept_offer(visit_id) → {transaction_id, escrow_state}
arrange_pickup(transaction_id, truck_slot) → {pickup_id, crew_size}
release_payout(transaction_id) → {utr, settled_at_iso}
cancel_visit(visit_id, reason) → {cancellation_fee_inr}

5. Response Shape

Region 1 — INTELLIGENCE: estimate_ttl_min, lift_surcharge_inr, payout_eta_min, dismantle_required, safety_flags
Region 2 — summary: "₹{estimate_inr} photo estimate, valid {ttl} min. Final after at-home inspection."
Region 3 — visual: seller's uploaded photos
Region 4 — NOW pin: nearest inspector slot + crew size for pickup
Region 5 — CHOICES: OK (highest estimate), GOOD (balanced), GREAT (best match-rate, fastest payout, dismantle included)

6. Controlled Vocabularies

category: sofa | bed | mattress | dining | wardrobe | study | office | storage | decor | kids
material: wood | engineered_wood | metal | fabric | leather | rattan | plastic
condition_self_declared: like_new | superb | good | fair
partner: furlenco | rentomojo | olx | quikr | pepperfry_second_life
payout_method: upi | bank_transfer | store_credit
downgrade_reason: pest_infestation | mould | structural_break | fabric_torn_severe | dimensions_mismatch | photos_misleading | hazardous_finish | weight_mismatch
crew_size: 1 | 2 | 3+

7. TTBS Dimensions

Dim	Weight	Signal
Time	0.20	estimate TTL, inspection ETA, pickup ETA, payout SLA
Taste	0.10	partner preference
Budget	0.40	estimate, downgrade history, no hidden lift/dismantle deductions
Safety	0.30	inspector ID badge, escrow protection, female-friendly toggle

8. Completion Contract

Complete when:

Seller accepts final offer
escrow_state=escrow_held
Pickup truck + crew dispatched
Payout utr settled
CPC: event=sale_completed, amount_inr = referral fee

9. Widget

CHOICES card (3 partners)
HONESTY strip: "Final offer may differ — typical downgrade for {category} = ₹{X}; lift surcharge if no working lift"
SLOT picker + female-inspector toggle
POST-INSPECTION reveal: final + delta + reasons + Accept/Reject
PICKUP card: truck slot + crew size + dismantle flag
PAYOUT pill

NEVER show AI photos, fake ratings, "guaranteed best price".

10. Caching Policy

Key	TTL	Invalidate on
`photo_estimate:{category}:{material}:{condition}:{dims_band}`	estimate_ttl_min (max 720)	partner price refresh
`inspector:availability:{partner}:{pincode}`	15 min	bookings
`partner:reputation`	7 days	complaint spike

No caching of final offer.

11. Error Codes

Code	Meaning	UX
`MKT_ESTIMATE_EXPIRED`	TTL elapsed	regenerate
`MKT_PHOTOS_INSUFFICIENT`	partner needs more	photo upload prompt
`MKT_INSPECTOR_NO_SHOW`	SLA breach	reschedule + credit
`MKT_DOWNGRADE_EXCESSIVE`	final < 70% estimate	honesty + cooling-off
`MKT_LIFT_FIT_FAIL`	won't fit through stairs	larger crew or dismantle prompt
`MKT_PAYOUT_BANK_FAIL`	rail fail	freeze + support

12. Sandbox → Production Checklist

50 sample sellers across 4 partners
Photo estimate ML calibrated
Inspector dispatch 3 cities
Truck + crew dispatch validated
Payout 10 × ₹1
CPC HMAC 50 events
Downgrade ENUM audit
Female-inspector toggle
Anti-fab audit

13. Anti-Fabrication Rules

NEVER paid placement
NEVER AI-enhance seller photos (raw upload only)
NEVER synthesise market-comparison ₹
NEVER fake ratings
NEVER claim TOMO performs pickup (partner does)
NEVER hide downgrade reasons or lift surcharge
NEVER cache final offer

14. Regulatory Framing

Consumer Protection Act 2019 — grade + downgrade disclosure mandatory
MoEFCC — partner responsible for non-resaleable items routed to authorised disposal
GST — partner margin scheme on resale; individual seller pays no GST
DPDPA 2023 — seller PII to partner only
Income Tax — payout above ₹50k must be banked/UPI; below = cash allowed
Cybercrime advisory — TOMO never asks for OTPs or bank password