Parts file matching and enrichment rules
result
Richer service context
Service
Spare parts data enrichment
Enrich warranty and product records with spare-parts, wire-parts, manuals and lifecycle data so service teams can answer faster.
What we solve
Connect warranty records with the parts and manuals teams need.
Manual and lifecycle metadata links
result
Fewer missing-part questions
Product-family and factory-specific logic
result
Better lifecycle support
Deliverables
- Enrichment model
- Matching rules
- Data lineage view
- Quality checks
Outcomes
- Richer service context
- Fewer missing-part questions
- Better lifecycle support
Common integrations
Factory filesCSV · XLSX · XML
PIM APIsproduct · warranty · media
ERP dataorders · serials · production
Service workflowsclaims · lookup · notifications
What you get
Four things, in one engagement.
Parts matching
Warranty and serial records linked to the exact spare parts that fit that product variant.
Wire-parts merge
Special enrichment files merge predictably, the way the Spain flow works in the Duscholux case.
Manual links
Manuals and installation instructions attached at the record level, ready for service teams.
Lifecycle metadata
Production dates, product families and successor models kept with every record.
Runs onPIMParts catalogsMatching rulesManuals databaseCSV mergeAPIs
Where it sits
From factory export to service-ready record.
Every engagement plugs into the same governed pipeline. This service strengthens its part of the flow without breaking the rest.
Factory filesCSV · XLSX · API
Validaterules per factory
Enrichparts · manuals
PublishPIM · ERP API
Service-readylookup · alerts
Onix x Duscholux
Duscholux warranty data automation
Automated factory warranty and serial number data from four European factories into a PIM-ready operational pipeline.
4factory flows
0manual import steps
14days after production
40%estimated time reduction
Very precise and well documented. Documents were ready to be turned into code. AI support in development is the part that matters. An in-depth process design is key to achieve it.
Client-side project review, Duscholux
Azure Logic AppsAzure App ServiceNext.js admin panelPIM APIEmail notificationsSharePoint / OneDrive
How we deliver
A delivery process designed for messy operational data.
Diagnosis first, scoped delivery second, measurable operation third. That order keeps automation precise instead of decorative.
Process triage
Identify systems, owners, file flows, exceptions and the business cost of manual work.
Operating spec
Define data contracts, validation rules, enrichment logic, roles and acceptance criteria.
Automation build
Implement the workflow layer, integrations, admin panel and notifications.
Real-data validation
Test with actual factory exports, edge cases and stakeholder reviews.
Operate and expand
Monitor results, improve quality and scale the pattern to more factories and processes.
Service FAQ
Asked on the first call.
More general questions live in the full FAQ.
No. Enrichment flags the gaps explicitly instead of guessing, so the catalog improves with evidence of what service actually needs first.
PIM stays the source of truth. The layer connects and enriches; it never forks the catalog into a second system that drifts.
Other services
The rest of the stack.
2-8
Legacy workflow modernization
Modernize fragile file, email and SharePoint flows without waiting for a full enterprise platform replacement.
- Legacy flow audit and risk scoring
- SharePoint, OneDrive and email workflow upgrades
- Incremental migration around existing systems
2-8 · week rescue startsFull breakdown: Legacy workflow modernization
AI
Analytics & AI for operations
Add operational analytics, anomaly detection and AI-supported development workflows on top of trusted manufacturing data.
- Process dashboards and SLA tracking
- Anomaly detection for files and imports
- AI-supported documentation-to-code delivery
AI · support where it mattersFull breakdown: Analytics & AI for operations
0
Warranty data automation
Turn factory-specific warranty exports into a governed pipeline that validates, transforms, enriches and publishes clean data to PIM, ERP and service teams.
- Factory file intake and format detection
- Warranty code and serial number validation
- Exception handling, approvals and notifications
0 · manual import stepsFull breakdown: Warranty data automation
Project triage
Bring the messy process. We will map the path to automation.
Share the workflow, systems and data sources. We turn it into a clear next step: rescue, integration, admin panel, or a fuller automation build.
Reply within 1 business dayNDA-friendly reviewFixed scope before code
Typical first audit
free · senior-led- System and file-flow map with named owners
- Automation opportunity score for each manual step
- Delivery plan, risk list and a fixed-scope next step