Factory file intake and format detection
result
Cleaner warranty records
Service
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.
What we solve
Automated warranty, serial number and factory file flows.
Warranty code and serial number validation
result
Fewer factory follow-ups
Exception handling, approvals and notifications
result
Faster after-sales lookup
Deliverables
- Automation blueprint
- Validation and transformation rules
- Production-ready import pipeline
- Operational runbook
Outcomes
- Cleaner warranty records
- Fewer factory follow-ups
- Faster after-sales lookup
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.
Factory file intake
Watched folders, SharePoint, email and API intake for every factory, with format detection per source.
Validation engine
Structure, field, date and serial-range checks run before anything touches ERP, PIM or service tools.
Enrichment and transformation
Factory-specific rules map local formats into one governed model, including wire-parts merges.
Import and notifications
Clean records post to the target system through its API; owners get error reports and confirmations.
Runs onAzure Logic AppsAzure App ServiceNext.jsPIM APISharePoint / OneDriveEmail flows
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.
We do not ask them to. Each factory keeps its own format; the automation layer owns detection, validation and transformation into the shared model. That is exactly how the four Duscholux flows work today.
The file is quarantined, the error report lists every failing row and rule, and the named owner is notified. Nothing incomplete reaches PIM, ERP or service teams.
Other services
The rest of the stack.
API
ERP / PIM integration
Connect production data, product data and customer service workflows without forcing a heavy ERP customization project.
- PIM API integration and import orchestration
- ERP-safe middleware for legacy constraints
- Monitoring for failed imports and schema changes
API · first integration layerFull breakdown: ERP / PIM integration
24/7
Factory data validation
Validate files, fields, dates, warranty codes, serial ranges and enrichment dependencies before the data reaches downstream systems.
- Factory-specific validation profiles
- Audit trails for exceptions and corrections
- Data-quality reports for operational owners
24/7 · quality checksFull breakdown: Factory data validation
1
Process design & documentation
Map the as-is workflow, define the to-be automation and produce documentation detailed enough to become the instruction set for implementation.
- As-is and to-be process maps
- Owner, trigger, edge-case and SLA definition
- AI-ready technical documentation
1 · shared operating specFull breakdown: Process design & documentation
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