ReLoop

Sell used gadgets fast with instant offers and payouts.

ReLoop is a C2B gadget recommerce and instant buyback platform for consumers who want to sell used phones and tablets quickly, and for operators who need a reliable valuation and inspection workflow. It combines an interactive device survey, flexible pickup or drop-off booking, instant payout rails, and WhatsApp notifications so sellers can complete the process with minimal friction while the business can process up to 2,000 valuation requests per day.

Business Goals

  • Reach 2,000 daily valuation requests with at least 99.5% successful quote generation within 2 seconds by the end of month 3.
  • Achieve a 35% survey completion rate from landing page visitors within 8 weeks of launch.
  • Convert at least 18% of completed valuations into confirmed booking requests within the first 90 days.
  • Keep inspection-to-payout turnaround time under 30 minutes for 90% of completed transactions within 3 months.
  • Maintain a payout failure rate below 1% across bank transfer and GoPay transactions during the first 6 months.

User Goals

  • Let sellers get an instant, device-specific quote without waiting for manual review.
  • Allow sellers to choose doorstep pickup or store drop-off in a few taps.
  • Make the inspection process transparent through grading, status updates, and payout confirmation.
  • Give sellers a fast way to receive money through bank transfer or e-wallet.
  • Reduce back-and-forth by sending booking and status updates over WhatsApp.

Non-Goals

  • Not a peer-to-peer marketplace with seller-to-buyer negotiation or bidding.
  • Not supporting trade-ins for all electronics categories in MVP; focus is phones and tablets only.
  • Not handling physical repairs, refurbishing, or resale logistics beyond intake and buyback workflow.
  • Not providing same-day nationwide pickup in MVP; scheduling is limited to supported service areas.

Seller Nina, 29 - Nina has a 2-year-old smartphone she wants to sell because she is upgrading. She values speed, trust, and a payout method that works immediately after inspection.

Seller Nina, 29

  • As a seller, I want to answer a quick device condition survey, so that I can get an instant quote without calling support.
  • As a seller, I want to choose pickup or drop-off time slots, so that I can hand over my device conveniently.
  • As a seller, I want payout confirmation by WhatsApp, so that I know exactly when the money has arrived.

Inspector Arif, 34 - Arif handles device inspection at a store or pickup point and needs a simple, standardized workflow to reduce errors and dispute risk.

Inspector Arif, 34

  • As an inspector, I want a structured grading checklist, so that I can inspect devices consistently and fairly.
  • As an inspector, I want the system to compare the physical device with the seller’s survey, so that exceptions are flagged before payout.
  • As an inspector, I want to mark payout completion and issues in one screen, so that transactions close quickly and cleanly.

Admin Dita, 40 - Dita manages operations, pricing, and payout approvals across branches and wants clear visibility into throughput and exceptions.

Admin Dita, 40

  • As an admin, I want to configure pricing rules by model, storage, and condition, so that quotes stay current.
  • As an admin, I want to monitor booking, inspection, and payout SLAs, so that bottlenecks are easy to spot.
  • As an admin, I want to review failed payouts and dispute cases, so that I can resolve exceptions quickly.

Interactive Device Valuation Survey · High priority

  • Guided valuation flow that estimates price based on device model and condition inputs.
  • Support brand, model, storage, color, carrier lock, battery health, screen/LCD status, body condition, and accessory inclusion.
  • Use conditional questions to shorten the survey for clearly eligible devices and expand for edge cases.
  • Generate a quote immediately after submission using pricing rules stored in Supabase.
  • Reject unsupported models or mismatch states with a clear explanation and fallback contact option.
  • Persist partial survey progress so users can resume within 24 hours.

Booking and Intake Scheduling · High priority

  • Flexible booking for either doorstep pickup or store drop-off with capacity controls.
  • Allow sellers to select service mode, location, date, and available time slot.
  • Enforce branch capacity limits and pickup coverage zones before confirming a slot.
  • Send booking confirmation and reminders via WhatsApp after reservation.
  • Allow rescheduling and cancellation up to a configurable cutoff time.
  • Expose booking status to both seller and inspector/admin.

Instant Payouts · High priority

  • Fast payout processing through bank transfer and GoPay/e-wallet after successful inspection.
  • Capture payout preference during booking or before inspection completion.
  • Create payout instruction records and mark them pending, processing, paid, or failed.
  • Support manual review for payout exceptions and retries by admin.
  • Show payout ETA and final status in the seller timeline.
  • Record transaction references for reconciliation and audit.

Inspection, Grading, and State Machine · High priority

  • Operational workflow that turns survey data and physical inspection into a consistent transaction state.
  • Model device condition states such as survey_submitted, quote_issued, booking_confirmed, device_in_transit, inspected, graded, payout_pending, paid, rejected, and cancelled.
  • Require inspectors to capture photos and confirm body, screen/LCD, battery, and functional checks.
  • Allow condition downgrades from survey to inspection with reason codes and seller notification.
  • Trigger payout only when the device passes final grading and approval rules.
  • Support exception handling for mismatch, missing accessories, or blocked devices.

Notifications and Admin Console · Medium priority

  • Operational visibility and seller communication through WhatsApp plus internal dashboards.
  • Send WhatsApp updates for quote issued, booking confirmed, pickup reminder, inspection started, payout sent, and case closed.
  • Provide an admin dashboard with transaction search, pricing table management, and exception queues.
  • Include role-based access for seller, inspector, and admin views.
  • Track message delivery status and retries for failed notifications.
  • Support manual override notes visible in transaction history.

Fast Seller Onboarding

  • Open the landing page and select Sell My Device.
  • Choose device type and enter model details in under 30 seconds.
  • Complete a short condition survey with progress feedback.
  • Receive an instant quote and expected payout range.
  • Select pickup or drop-off and confirm contact and payout details.
  • Reach a confirmed booking within 2 minutes from start to finish.

1. Device Identification

  • The seller identifies the device using brand, model, and storage so the system can price it correctly.
  • Autocomplete supported models to reduce input errors.
  • Reject unsupported models with a helpful alternative path.
  • Cache pricing inputs to keep the quote calculation under 2 seconds.

2. Condition Survey

  • The seller answers structured questions about body, screen/LCD, battery health, and functionality.
  • Use visual question cards with examples for cracked screen, dead pixels, dents, and battery degradation.
  • If answers indicate severe damage, show revised quote immediately.
  • Allow one-time photo upload for edge cases and dispute prevention.

3. Instant Quote and Booking

  • The platform generates a price and offers pickup or store drop-off based on service area and capacity.
  • Display quote validity window and possible inspection adjustments.
  • Only show available slots that match branch or courier capacity.
  • Require payout method selection before confirming the booking.

4. Inspection and Grading

  • At the handoff point, an inspector verifies the device and records the final grade.
  • Inspector compares survey answers to actual condition and captures photos.
  • Mismatch or missing item cases move to exception review instead of payout.
  • Grade changes automatically update payout amount if allowed by policy.

5. Payout and Closure

  • Once approved, the system triggers instant payout and closes the transaction.
  • Send payout confirmation via WhatsApp with reference number.
  • If payout fails, move to retry or manual review without losing transaction history.
  • Close the case only after payment status is confirmed or escalated.

Operational Enhancements

  • Bulk admin pricing updates by model, storage, and condition bands.
  • SLA dashboard for quote latency, inspection queue length, and payout success rate.
  • Dispute workflow with evidence attachments and resolution notes.
  • Support for branch-based inventory intake and device triage queues.
  • Partial rollout by city, branch, or courier coverage zone.

Trustworthy, Fast, and Mobile-First UI

  • Mobile-first layout with large tap targets and a single primary action per screen.
  • Visible progress indicator for survey and booking steps to reduce abandonment.
  • Condition inputs use images, icons, and plain language to prevent misclassification.
  • Sub-2 second quote rendering with skeleton loading states and optimistic transitions.
  • Accessibility support for screen readers, high contrast, and keyboard navigation.
  • Clear status timeline so sellers always know whether the device is quoted, booked, inspected, or paid.

Nina wants to sell her old phone but does not want to wait days for an offer. She opens ReLoop, answers a short device survey about the screen, battery, and body condition, and gets an instant quote in seconds. She chooses a nearby store drop-off, receives a WhatsApp confirmation, and arrives knowing exactly what to expect.

At the store, the inspector checks the device against Nina’s survey, records the final grade, and approves payout within minutes. ReLoop sends the money to Nina’s GoPay account and closes the case automatically. For the business, this reduces manual follow-up, increases conversion from quote to payout, and creates a repeatable workflow that can scale to thousands of daily requests.

User-Centric Metrics

  • Survey completion rate of at least 35% within 8 weeks.
  • Median time from landing page to quote under 90 seconds.
  • Quote acceptance rate above 25% of completed surveys within 90 days.
  • Inspection-to-payout turnaround under 30 minutes for 90% of completed orders.
  • WhatsApp notification delivery success above 98%.

Business Metrics

  • 2,000 daily valuation requests supported with 99.5% successful quote generation.
  • At least 18% of completed valuations converted into booked appointments.
  • At least 12% month-over-month growth in completed buyback transactions during launch phase.
  • Refund or payout dispute rate below 2% of transactions.
  • Operational cost per completed transaction reduced by 20% versus manual workflow.

Technical Metrics

  • 99.9% monthly uptime for customer-facing flows.
  • P95 page load under 2 seconds on mobile networks.
  • P95 quote generation under 1 second after survey submission.
  • No critical payout or booking data loss incidents; daily backup restore verified.

Tracking Plan

  • Track landing_page_view to measure acquisition volume and device mix.
  • Track survey_started and survey_completed to measure completion funnel.
  • Track quote_generated with quote value, device model, and latency.
  • Track booking_created with service mode, location, and slot selected.
  • Track inspection_completed with final grade, mismatch reasons, and turnaround time.
  • Track payout_initiated and payout_completed with provider, method, and failure codes.
  • Track whatsapp_notification_delivered and whatsapp_notification_failed to monitor communication reliability.

Technical Needs

  • Next.js for the customer and admin web application with server-side rendering and app router.
  • Supabase PostgreSQL for transactional data, pricing tables, and workflow state.
  • Vercel for deployment, edge caching, and serverless API routes.
  • Row-level security in Supabase for seller, inspector, and admin role separation.
  • Background jobs or serverless cron for reminder messages, payout retries, and reconciliation.
  • Image upload and storage for inspection photos with secure signed URLs.
  • Typed state machine logic in the backend to prevent invalid workflow transitions.

Integration Points

  • WhatsApp Business API through a provider such as Twilio or 360dialog.
  • Bank transfer payout provider and GoPay/e-wallet payout integration.
  • Maps and geocoding service for pickup coverage and store location selection.
  • Email or SMS fallback provider for notification redundancy.
  • Analytics stack such as PostHog or GA4 for funnel tracking and product insights.

Data Storage & Privacy

  • Store only necessary personal data for KYC, booking, and payout fulfillment.
  • Encrypt sensitive data at rest and enforce HTTPS in transit for all traffic.
  • Separate payout identifiers and contact information from public-facing quote data.
  • Implement consent handling for WhatsApp notifications and marketing opt-ins.
  • Provide data retention policies aligned with GDPR and CCPA-style deletion requests where applicable.

Scalability & Performance

  • Precompute or cache common price rules to keep quote generation fast under peak load.
  • Use database indexes on device model, transaction status, booking slot, and seller contact.
  • Design idempotent booking and payout endpoints to safely handle retries.
  • Plan for burst traffic up to 2,000 valuation requests per day with peak-hour concurrency support.

Potential Challenges

  • Pricing data becomes stale and causes poor quote accuracy; mitigate with admin rules versioning and scheduled price refreshes.
  • Inspection mismatch creates seller dissatisfaction; mitigate with transparent grading criteria, photo evidence, and clear reason codes.
  • Payout provider failures delay closure; mitigate with retry logic, fallback methods, and manual review queues.
  • WhatsApp delivery failures reduce trust; mitigate with delivery status tracking and SMS or in-app fallback for critical updates.
  • Operational bottlenecks at branches limit throughput; mitigate with capacity-based scheduling and admin dashboard alerts.

Team & resourcing - Small team - 2 full-stack engineers, 1 product designer, part-time PM, and shared operations support.

Phase 1: MVP Foundation · Weeks 1–4

  • Next.js customer flow for device survey, instant quote, and booking.
  • Supabase schema for devices, quotes, bookings, inspections, payouts, and notifications.
  • Basic admin console for pricing rules and transaction lookup.
  • WhatsApp notification integration for booking confirmation and status updates.

Phase 2: Inspection and Payout Workflow · Weeks 5–7

  • Inspector app screens for grading, photo capture, and exception handling.
  • State machine enforcement for quote to payout transitions.
  • Bank transfer and GoPay payout initiation with success/failure tracking.
  • Seller timeline showing booking, inspection, and payout status.

Phase 3: Operational Hardening · Weeks 8–10

  • Performance optimization to keep pages under 2 seconds and quotes under 1 second.
  • Capacity controls for pickup and drop-off scheduling.
  • Analytics dashboards and funnel tracking for survey, booking, and payout conversion.
  • Retry logic and reconciliation views for failed notifications and payouts.

Phase 4: Scale and Refinement · Weeks 11–12

  • Multi-branch support with localized slot availability and pricing variations.
  • Dispute workflow with evidence and admin resolution notes.
  • Accessibility, copy, and UX polish for higher completion rates.
  • Load testing and incident playbook for 2,000 daily valuation requests.

Paste this into Cursor, Bolt, Lovable, or v0 to start building.

Build a production-ready C2B gadget recommerce and instant buyback web app called ReLoop.

Tech stack:
Next.js 14 with App Router, TypeScript, Tailwind CSS, shadcn/ui, Supabase PostgreSQL with Row Level Security, Vercel deployment, and Supabase Storage for inspection photos.

Core product:
Customers sell used phones and tablets through an interactive valuation survey covering device model, storage, body condition, screen/LCD condition, battery health, and functionality. The system generates an instant quote, then lets the seller choose doorstep pickup or store drop-off. After inspection, the system triggers instant payout via bank transfer or GoPay/e-wallet and sends WhatsApp notifications at every major step.

Build these screens and flows:
1. Marketing landing page with Sell My Device CTA
2. Device valuation survey with conditional questions and progress indicator
3. Instant quote result page with quote validity and payout method selection
4. Booking flow for pickup or store drop-off with slot availability and coverage validation
5. Seller transaction status timeline
6. Inspector console for grading, photo upload, mismatch detection, and approval
7. Admin dashboard for pricing rules, bookings, payouts, exceptions, and analytics

Data model in Supabase:
users, roles, devices, valuation_surveys, quotes, bookings, inspections, device_grades, payout_methods, payouts, notification_logs, branches, service_areas, pricing_rules, dispute_cases, audit_logs.
Use a state machine with states: survey_submitted, quote_issued, booking_confirmed, device_in_transit, inspected, graded, payout_pending, paid, rejected, cancelled.
Enforce valid transitions in server actions or API routes.

Requirements:
Implement responsive mobile-first UX, fast quote generation, and sub-2s page loads. Use server-side rendering where useful, cache pricing lookups, and keep quote generation under 1 second. Add WhatsApp notification hooks, booking capacity validation, payout status tracking, admin pricing CRUD, inspector grading forms, and role-based access control. Include analytics events for survey_started, survey_completed, quote_generated, booking_created, inspection_completed, payout_initiated, payout_completed, and notification delivery. Seed sample pricing rules and a few demo device models. Make the app feel trustworthy, operationally clear, and ready for a real buyback business.

Business Idea

Create a Product Requirements Document (PRD) for a C2B gadget recommerce and instant buyback platform (like Maujual / Laku6), supporting an interactive device valuation survey (body condition, screen/LCD, battery health), flexible booking for doorstep pickup or store drop-off, real-time instant payouts (Bank Transfer and GoPay/E-Wallet), and WhatsApp notification integration. The platform should support up to 2,000 daily valuation requests, use Next.js, Supabase (PostgreSQL), and Vercel, and aim for sub-2s page loads and instant quote generation. Include measurable business & operational goals (e.g., survey completion rate, inspection-to-payout turnaround time), concise user stories (Seller and Inspector/Admin), a device grading & state machine model, and clear MVP boundaries.

Make My PRD

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