Return, Repair & Melt
Automation Proposal
Complete end-to-end automation from box reception to warehouse — eliminating manual tracking, preventing errors, and digitizing the entire returns lifecycle.
Outright Returns
Purchase & DDB Returns
Repair Details
Invoice Generation
Problems Jewelex Faces Today
Manual Data Entry
Same data rewritten 3–4 times. No single source of truth.
Manual LN Lookups
Age and return type worked out by hand in LN.
WhatsApp Coordination
Status lives in chat groups. No audit trail.
No Tolerance System
Weight judged by eye, no enforced threshold.
No Digital Tracking
Packets tracked on paper memos across NY and India.
Paper-Based Handoffs
QC, melt and repair handoffs move on paper.
Return, Repair & Melt — One Automated Flow
Agents Streamline Return Operations
Parcel Gate-Log at Arrival
Every box logged before it is opened.
Document Upload & Data Extraction
Agent 1OCR pulls style, metal, KT and invoice data.
Product Condition & Process Selection
Mark Damaged / OK, choose Return or Repair.
Packet Creation & System Entry
Packet number generated for tracking.
LN ERP Validation & Age Classification
Agent 2Last-shipped date and age fetched from LN.
Return Type Routing
Outright, Purchase, DDB or Repair — auto-decided.
FIFO Matching & Scale-Read Weighing
Agent 4Weight read from scale, FIFO invoice match.
4 Repair Tracks incl. 3rd-Party
Agent 6India, 3rd-Party, NY Vendor, Customer Paid.
Melt — 4 Distinct Stages
Agents 7–12DIA/BOM → Age → Outright → Sales Return (DDB).
Barcode & Invoice Generation
Agents 3, 4, 5Barcodes, KT-wise invoices and packing lists.
Approval, Shipment & Receipt Tracking
BO India approves; receipt auto-updated.
Repair Completion & Stock Update
Repaired items checked back into stock.
Packet Detail & Timeline
One shared record with live history per packet.
Real-Time Kanban Tracking
Live boards and KPI dashboards for all teams.
16 AI Agents — Azure OpenAI Powered
Intake & Classification Agents
Gate-log reconciliation and invoice OCR.
Age & Eligibility Review Agent
LN last-shipped date decides return path.
Return Documentation Agents
Invoices, packing lists and shipment docs.
Weight Matching & Barcode Agents
Scale-read weight, FIFO match, auto-print.
Repair Track Agents (4 tracks)
India, 3rd-Party, NY Vendor, Customer Paid.
Melt Stage Agents
DIA/BOM, age class, outright, sales return.
State-machine orchestration with audit trail and human fallback.
Automation Cuts Errors and Delays
9 Milestones — 18–20 Weeks to Go-Live
Discovery & Foundation
LN API access confirmed, DB schema approved, scale protocol identified, 8 user roles configured.
Gate-Log & Parcel Intake
Parcel gate-log live — every incoming box logged before opening, with running counts.
Document OCR & Packet Creation
Invoice/document upload, data extraction, and packet number generation for tracking.
Age Classification & Routing
LN integration validates last-shipped date and auto-routes to the correct return path.
Outright & Purchase Return Docs
Automated generation of outright, purchase-return and DDB documentation for BO India.
Repair — 4 Tracks
India, 3rd-Party, NY Vendor and Customer Paid tracks live with QC checkpoints and packet timeline.
Melt — 4 Stages
DIA/BOM check, age classification, outright and sales return (DDB) digitized; scale + barcode connected.
UAT & Training
End-to-end UAT with US and India teams, role-based training, and feedback closure.
Go-Live & Hypercare
Production cut-over, dashboards live, hypercare begins, and steady-state handoff completed.
Milestones overlap — a dedicated AI Engineer runs agent work in parallel with platform work, keeping the delivery realistic while covering the full returns, repair and melt scope.
Clear Timeline, Defined Investment
From discovery to production go-live · 9 milestones.
- Platform DeveloperDeep ERP integration, hardware connectivity, platform services
- AI Engineer16 agents, prompts, evaluation — parallel to the platform track
- Application DeveloperUI screens, packet timeline, kanban boards, dashboards
- Application Dev LeadArchitecture, code review, coordination
- Professional Services₹21,80,000 (~$24,000)
- License - Prod Env₹35,00,000 (~$38,500)
- License - Test Env₹5,00,000 (~$5,500)(per test env)
- Total₹61,80,000~$68,000
Aligned to 9 delivery milestones. Pay as milestones are achieved and accepted.
No per-seat surprises, no scope creep without sign-off. Outcome-priced delivery.
Built for Enterprise, Priced for Outcomes
Deep ERP Integration
Production experience with LN, SAP, Oracle — API + voucher level, not surface wrapping.
Domain-Fluent Agents
Finance, recruitment, jewellery operations — modelled from real playbooks, not generic LLM demos.
One Shared Delivery Team
Same engineers across all four modules — shared spec, shared masters, no integration debt.
Production-Grade Engineering
Pydantic schemas, RBAC, audit trails, exception queues. Built to pass audit.
Fixed Scope, Fixed Price
Outcome-priced delivery. No per-seat surprises, no scope creep without sign-off.
Long-Term Partnership
Hyper-care, rule tuning with your operators, extension into adjacent workflows.
Next Step: Align, Validate, Finalize
Proposal Review
Review solution scope, timeline, commercials, and assumptions.
Workflow Validation
Validate AS-IS / TO-BE flow, LN touchpoints, weighing, barcode, and approvals.
Final Sign-Off
Finalize SOW, delivery plan, milestones, and project start date.
- www.rapiddata.io
18–20 weeks from discovery to go-live. Fixed price. Zero integration debt. Built for Jewelex operations.