Workflow — RMA Disposition

RMAs dispositioned in hours, not 5–10 days.

Customer email or portal submissions with photos, serial numbers, and complaint descriptions — defect category, warranty applicability, root-cause hypothesis, repair / replace / scrap recommendation, financial-liability assessment. RMA record into SAP, Oracle, or NetSuite with the NCMR (Non-Conformance Material Report) initiated. Replaces customer-service-team and quality-engineering review at a fraction of the per-RMA cost.

Take the AI Assessment Get a Per-RMA ROI Model

5–10 days

Typical RMA disposition turnaround

$45–$95

Per hour, quality engineer (loaded)

60–85%

RMA review off the QE desk after AI cutover

What This Replaces

The CS Team and Quality Engineer Reading Every Customer Email

The work the customer-service team and the quality engineer do on every RMA — and the cost of leaving it there.

The labor

RMA disposition today moves through customer-service teams plus quality engineers — onshore at $45–$95 per hour for the engineer, plus offshore CS support at $15–$30 per hour. A mid-size OEM or contract manufacturer with sustained RMA volume routinely runs CS, quality, and finance teams against a backlog. The longer disposition takes, the more the customer satisfaction erodes — and the more the warranty reserve gets used up on indeterminate cases that close out as replacements.

The cycle time

Standard RMA turnaround runs 5–10 business days from customer submission to disposition, with longer cycles when the photos are insufficient, the customer-supplied serial number doesn't match shipping records, or the part requires recall against the build-records database. Every day the RMA sits in queue is a day the customer's confidence in the brand erodes and the cycle pushes against contractual response-time SLAs.

The Workflow

Input · Analysis · Output

What goes into RMA disposition, what we do to it, and what shows up in the ERP.

Input

Customer submission + build records

Customer email or portal submission with photos
Customer-supplied serial number and lot information
Complaint narrative and use-case description
Build records and shipping history per serial
Prior RMA history on the same customer or part
Warranty terms and contractual liability scope
Field-failure database for recall-class screening

Analysis

Categorize, attribute, recommend

Defect-category classification per company taxonomy
Warranty applicability check against terms and serial-build data
Root-cause hypothesis with prior-failure-mode comparison
Repair / replace / scrap recommendation with cost basis
Financial-liability assessment (warranty reserve vs out-of-warranty)
Recall-class screening (similar serial range, similar failure mode)
Confidence score per finding; exceptions to QE queue

Output

RMA record into the ERP

SAP S/4HANA and SAP ECC (REST and IDoc integration)
Oracle (Cloud and on-prem APIs)
NetSuite (REST APIs)
NCMR (Non-Conformance Material Report) initiated
Repair / replacement / scrap routing
Customer disposition letter draft
Per-RMA audit trail with photo source and defect basis

Side by Side

RMA Disposition Today vs. With Last Rev

The numbers that matter: cycle time, per-RMA cost, accuracy, and customer-experience.

Dimension	CS Team + Quality Engineer	Last Rev RMA Disposition
Cycle time, customer submission to disposition	5–10 business days	2–6 hours per RMA
Per-RMA unit cost	CS + QE time at $15–$95/hr blended	Per-RMA, benchmarked at 25–45% of fully-loaded cost
Defect-category consistency	Variable — CS rep judgment, calibration drift across reps	Same taxonomy applied identically every RMA
Warranty-vs-out-of-warranty determination	Manual cross-reference, errors compound on edge cases	Serial-build data cross-referenced with terms cited per RMA
Recall-class screening	QE memory or field-failure database lookup	Similar-serial-range and similar-failure-mode auto-screened
ERP integration	Manual entry into SAP / Oracle / NetSuite	Direct via documented SAP / Oracle / NetSuite APIs
Audit log per finding	Engineer notes, no photo-source lineage	Source photo + defect basis + warranty rule + confidence per element

How It Works

From Customer Email to ERP-Ready Disposition

Five steps. Every one logged. Every one reversible if your confidence threshold isn't met.

Submission Lands

Customer email or portal submission with photos, serial numbers, and complaint narrative. Build records, shipping history, prior-RMA history, warranty terms, and field-failure database pulled into the same review.

Extraction & Classification

Defect-category classification per the company taxonomy. Warranty applicability check against terms and serial-build data. Root-cause hypothesis with prior-failure-mode comparison. Repair / replace / scrap recommendation with cost basis. Recall-class screening across similar serial ranges and failure modes.

Validation Against RMA Playbook

Findings validated against the company's RMA playbook and per-product-line warranty rules. Anything below your confidence threshold per finding is routed to a human exception queue — your call which queue, ours or yours.

Push to System of Record

RMA record into SAP, Oracle, or NetSuite via the documented integration. NCMR initiated for non-conforming material. Repair / replacement / scrap routing queued. Customer disposition letter drafted with the basis cited.

Audit Log Persisted

Every defect classification, warranty determination, and recall-class screening event logged with the source photo, model version, and confidence score. Customer-audit-ready, FDA-ready (medical device), and yours.

Compliance & Defensibility

Built to Meet the Quality Bar Customer Quality Already Runs On

ISO 9001 / IATF 16949 / FDA 21 CFR Part 820 conformance

Customer-complaint-handling and nonconforming-product-control requirements supported through structured per-RMA audit trails. Per-industry regulations (auto IATF 16949, medical device FDA QSR) tracked and reflected in the disposition workflow.

Recall-class screening defensibility

Similar-serial-range and similar-failure-mode screening surfaces potential field-recall situations early, with the basis cited so the recall committee makes the call on a richer file. The audit log produces the screening output for any subsequent recall investigation.

Customer audit and warranty defensibility

When a customer disputes a warranty determination or requests a 8D, the audit log produces what was extracted from the photos, what serial-build data was checked, and what the basis was for the disposition. Cleaner chain of custody than the CS rep + QE notes today.

Customer PII and complaint confidentiality

RMA submissions contain customer PII, complaint narratives, and use-case information. Deployable in your VPC or our SOC 2 environment. Encryption in transit and at rest; retention policies tied to your warranty and recall-recordkeeping rules.

Common Questions

What OEMs & Contract Manufacturers Ask About RMA Disposition

Those are the systems where RMA records and customer-service cases live. The competitor on this page is the customer-service team plus quality engineer labor that does the actual review and disposition work — typically CS reps at $15–$30 per hour offshore plus QEs at $45–$95 per hour onshore. We undercut that combined labor cost, integrate directly into your existing SAP / Oracle / NetSuite ERP and customer-service platform, and deliver dispositioned RMAs into the system of record.

Most OEMs and contract manufacturers keep the CS BPO arrangement in place during pilot and early production — we route exceptions, complex multi-part RMAs, and any case that genuinely requires senior-engineer judgment to the team you already have. Volume to the CS BPO drops 60–85% on routine RMA disposition once cutover completes. You renegotiate at the next renewal from a much better position, or shift the relationship to higher-complexity work like field-service coordination or technical support.

Our pilot success threshold is defect-category and warranty-applicability accuracy at parity with or above your incumbent CS + QE process, measured on the same shadow-data sample of historical RMAs. Anything below your defined confidence threshold per finding is routed to a human exception queue — your call which queue, ours or yours.

Warranty applicability is determined against the customer's contract terms and the serial-build / shipping data — common edge cases (warranty period at the boundary, end-of-life parts, customer-induced damage, modification voids) surface with the basis cited. We don't make the warranty call on borderline cases — we surface the basis so QE makes the determination on a richer file.

Similar-serial-range and similar-failure-mode screening surfaces RMAs that may indicate a wider field issue. The audit log records the screening basis so the recall committee makes the call on a richer file than the CS team produces today. Per-industry recall-class definitions (NHTSA defect for auto, FDA recall classes for medical device) are configured per-engagement.

Yes — through the documented integration surface each platform supports. SAP S/4HANA via REST APIs, SAP ECC via IDoc; Oracle Cloud and on-prem via APIs; NetSuite via REST APIs. Customer-service platforms (Salesforce Service Cloud, Zendesk, ServiceNow) integrate via documented APIs. Your IT and operations teams review and approve service accounts. We do not require platform-side custom development.

RMA-disposition pilots typically run 6–8 weeks: 1–2 weeks of integration and per-product-line warranty-rule mapping with the customer-service and quality teams, 4 weeks of shadow-mode running on real RMAs with no ERP-side dispositions, 1–2 weeks of supervised cutover on a constrained scope (one product line, one customer tier). Production rollout is staged after the pilot meets your accuracy and quality-management sign-off.

We benchmark against your current per-RMA fully-loaded cost — typically derived from CS-rep time plus QE time. Our target is 25–45% of that per-RMA cost at higher accuracy and faster cycle time. Pricing structures around volume tiers and outcome SLAs, not hourly billable rates.

Two Ways to Start

Take the AI assessment for a structured read on RMA-disposition feasibility. Or talk to us if you already know RMA cycle time is the constraint on customer satisfaction.

Self-serve · 8 minutes

Take the AI Assessment

A short structured assessment that maps your monthly RMA volume, ERP, and current customer-service / QE arrangement to AI feasibility and ROI.

Talk to a specialist

Get a Per-RMA ROI Model

Send us your monthly RMA volume, your ERP, and your current customer-service / quality-engineering arrangement. We'll come back with a per-RMA unit-cost comparison and a 6–8 week pilot plan in 5 business days.

Other Workflows

More Manufacturing Workflows We Replace

The same approach, applied to the other document-heavy labor lines on your quality and operations budget.

Customer Complaint to NCMR

Complaint intake → MDR-reportability call, recall-risk screen, eMDR submission to FDA in the under-30-day window.

NCR / 8D / CAPA Processing

8D reports drafted from the NCR — root cause, containment, corrective action — into MasterControl, ETQ, IQS.

Visual Quality Inspection

Defect classification at line speed. SPC charts that update before the shift ends.

Supplier Quality Audit Review

Audit responses + ISO 9001 / IATF 16949 evidence → SCAR, supplier scorecard, APR status.