RapidData
CONFIDENTIAL01 / 07Demo
Jewelex · Return, Repair & Melt Automation

Return, Repair & Melt
Automation Proposal

One connected system for every returned, repaired, or melted item - across NY and India teams

10+
Workflows
19
AI Agents
25+
Screens
The Challenge

Where the process breaks down today

No shared visibility

No single tracker

Manual invoice matching

No automated matching mechanism

Informal master lists

Rules live in spreadsheets

No fallback path

Unmatched export invoices

Manual weight entry

Typed at every step

Missing items chased ad-hoc

Email and calls

RapidData · Jewelex Return, Repair & Melt Automation · Confidential
The Approach

How RapidData resolves it

Intake
Log · Sort · Route
Returns
Repair
4 tracks
Melt
4 sub-flows

Logged and routed automatically

Memo · Credit · Defect · Sample · Repair

India · 3rd-Party · NY · Customer

DIA · Age · Outright · DDB

Rule-traceable agents

No black box

Device-integrated

Weight auto-captured

One shared record

Same live record

3rd-Party Repair

New fallback track

Confidence decides who's in the loop

High-confidence extractions process automatically. Anything uncertain pauses for a person to confirm - never silently guessed.

RapidData · Jewelex Return, Repair & Melt Automation · Confidential
The AI Layer

19 agents across 4 workflow stages

Each stage runs autonomous agents that read documents, match records, and route exceptions - with human override at every checkpoint.

01Intake
3

Read photos and docs, capture return info, enter line items directly into LN - replacing manual data entry done by staff today - and flag missing fields.

02Returns
3

Extract mirror-doc prices, auto-match against invoices, alert Sales on sample returns.

03Repair
4

Match repair invoices, generate shipment docs, receive in Mumbai, route no-match to 3rd-party.

04Melt
9

Check DIA/BOM, age, metal type; create KT invoices; compare weights; re-check DDB priority.

RapidData · Jewelex Return, Repair & Melt Automation · Confidential
What Gets Built

Solution Features

01Intake
Docs-matchAuto captureRoutingAlerts
02Returns
Portal pullAI price extractPrice-match4 types
03Repair
Invoice matcher3rd-Party fallbackQC checkpoints4 tracks
04Melt
DIA / BOMAge & DDBWeight compareInvoice re-check
05Trust
Confidence gatingHuman-in-the-loopAudit log
06Tracker
Lifecycle KanbanKPI dashboard
07Admin
Business rulesAccess roles

Human-in-the-loop checkpoints sit at every confidence gate - automation handles the routine, people handle the exceptions.

RapidData · Jewelex Return, Repair & Melt Automation · Confidential
Open Questions

Before We Lock Scope

Routing & Classification

Will all 4 repair tracks apply, or are some tracks handled outside this scope?

Which return-type codes need to be supported in LN?

How do we distinguish 'Repair' from 'Customer Paid Repair' in the system?

Integration Boundaries

Will Jewelex provide customer portal access to pull original documents, or is manual upload the fallback?

Process Definitions

Who creates and owns the master packing slip?

Where are QC defect records currently maintained?

Is the melt ledger managed outside this module?

RapidData · Jewelex Return, Repair & Melt Automation · Confidential
Why Us

Why RapidData

Built on your flow

Not a template

Rules-based

Fully auditable

One platform

For solutions across functions

Proven delivery

Across industries and countries

100% delivery success rate

Rapid deployment with all the security and governance in-built

Next Steps

Proposal walkthrough
Scope sign-off
Discovery workshop
Build begins

Ready to bring Return, Repair & Melt onto one system?

See Demo
01/07