active
Warranty data
Factory files
An Onix Systems company · est. 2000
Warranty data, finished.
We automate warranty, serial-number and factory data flows for premium DACH manufacturers, from Excel exports to PIM-ready records.
25+years shipping
4factory flows
40%time reduction
active
PIM integration
API import
Clean, enriched records published directly into product data systems through agreed contracts.
02 / 02Next
Warranty data, by design. Not by spreadsheet.
ERP·PIM·CSV / XLSX·Warranty codes·Serial numbers·Spare parts·Manuals·Dealer portals·Installers·Azure Logic Apps·Next.js admin panel·DACH manufacturing·ERP·PIM·CSV / XLSX·Warranty codes·Serial numbers·Spare parts·Manuals·Dealer portals·Installers·Azure Logic Apps·Next.js admin panel·DACH manufacturing·
Who we serve
Built for the people who own the outcome.
Three buyer groups, three versions of the same risk: warranty data must be reliable when customers, dealers, installers or service teams need it.
01
Marketing & brand leaders
Warranty is part of the premium promise. If the code cannot be found, the brand promise breaks at the service moment.
- Connect warranty reliability to premium positioning
- Protect German / Swiss quality messaging after purchase
- Turn after-sales proof into a brand asset
02
After-sales & customer service
Service teams should help customers, not chase spreadsheets, factory contacts and missing serial records.
- Faster product and warranty identification
- Fewer escalations around missing numbers
- Better support for dealers and installers
03
ERP, PIM & product data owners
Factories rarely send one perfect format. We close ERP-adjacent gaps without turning the ERP into a custom project.
- Factory-specific validation and transformation
- PIM-ready import contracts and API integration
- Warranty records linked to product, parts and manuals
What you actually ship
Operational data flows, production-grade.
File intake, validation, enrichment, PIM import, alerts, admin control. The operating posture premium manufacturers need when warranty data is tied to service quality.
Factory flows automated4+ Spain enrichment
Warranty data SLA14dafter production
Manual import steps0standard flow
Integrations · livemonitoring active
- PIM APIlive
- Azure Logic Appslive
- Next.js adminlive
- Email alertslive
- SharePoint / OneDrivelive
- Wire parts mergelive
Audit log · live streamstreaming
- 09:42 Germany file validated · passed
- 09:31 Spain warranty data merged with wire parts
- 09:17 PIM import completed · 0 blocking errors
- 08:55 Recipient list notified automatically
Case studies
What done right looks like.
4 factoriesPIM APIAzureNext.js
Duscholux
Warranty Data Automation: from Factory to PIM
Four factories, four formats, zero manual import steps. Warranty data delivered to PIM within 14 days of production.
40%estimated time reduction
CSVXLSXRulesErrors
Automation pattern
Factory-specific validation before bad data reaches systems
A governed layer checks file structure, fields, dates, serial numbers and enrichment dependencies upstream.
0manual monitoring steps
As-isTo-beAPIQA
Process-first delivery
Implementation-ready documentation before code
As-is mapping, to-be rules, API contracts and acceptance criteria are agreed before AI-supported development begins.
1shared operating spec
Services
The full stack, ready on day one.
Strategy, process design, engineering, QA and handover under one automation scope, with the same people carrying the workflow from messy file reality to production.
01
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
02
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
03
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
04
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
05
After-sales service portals
Create secure internal portals and admin panels for warranty lookup, file review, exception handling and operational control.
- Warranty lookup and service context
- Admin settings for recipients and rules
- Dealer or installer-friendly workflows
1 · source of operational truthFull breakdown: After-sales service portals
06
Dealer & installer workflows
Design lightweight partner workflows for serial verification, warranty registration, documentation lookup and issue escalation.
- Dealer and installer journey mapping
- Document and spare-parts lookup flows
- Structured escalation and feedback loops
B2B · partner enablementFull breakdown: Dealer & installer workflows
If you are stuck
Still managing warranty data by memory, reminders and Excel?
Many premium manufacturers do not need a new ERP first. They need a precise audit of the flow ERP does not fully handle, then a scoped automation layer around real files.
What the audit covers
- Map factory files, owners, reminders and manual validation
- Define the to-be data contract and acceptance criteria
- Identify which steps belong in ERP/PIM and which need middleware
- Deliver a fixed-scope build plan around real files
40%estimated reduction in warranty data processing time in the Duscholux case.
What's new
AI-supported development, not prompt magic.
The speed comes from precise process design. When the documentation is complete, AI can help build faster without inventing rules.
Process documentation first
The as-is and to-be flow becomes the instruction set before development starts.
AI-supported build
Precise specs let AI accelerate implementation without guessing business rules.
Validation matrix
Factory-specific formats, required fields, edge cases and error states are explicit.
Enrichment logic
Wire parts files, attributes, manuals and product references are merged predictably.
Admin control
Settings, recipients, file review and exceptions are visible to non-technical owners.
Operational handover
Teams receive documentation, configuration guidance and a supportable pipeline.
How we deliver
From factory files to trusted systems.
Warranty data moves through an engineering layer that validates, transforms, enriches and publishes records before they become operational truth.
Inputs
FactoriesCSV · XLSX · local formats
Legacy filesExcel · SharePoint · email
Product datamodels · parts · manuals
Business rulesvalidation · enrichment
Onix AutomationEngineering layerlive
Outputs
PIM-readyvalidated warranty records
Service-readylookup and notifications
Auditableerrors · lineage · owners
Scalablemore plants and flows
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.
Tools we work in
We fit the systems manufacturers already run.
The point is not to replace the core system first. It is to close the manual gap around ERP, PIM, service and factory data with a supportable automation layer.
Core systems
SAPproALPHAMicrosoft DynamicsInforIFSOracle
Product data
PIMspare parts catalogmanuals databaseproduct registration
File flows
ExcelCSVXMLSharePointOneDriveemail
Cloud & apps
Azure Logic AppsAzure App ServiceNext.jsAPI integration
Service channels
CRMdealer portalsinstaller workflowscustomer support
Recognition
Independent proof for complex operations work.
Selected signals from Onix Systems and the manufacturing automation practice behind this offer.
Duscholux
Warranty automation across 4 factory flows with PIM integration, tested and confirmed on the client side.
Clutch Global 2025
Top global engineering firm for machine-learning delivery in Clutch's 2025 awards.
Verify2024 · top B2B providersClutch 1000
Featured on the Clutch 1000 list of top-rated B2B service providers globally.
VerifyEst. 2000 · 25+ yearsOnix Systems
25+ years building custom software for complex business processes across manufacturing and industry.
VerifyInsights
Operational automation thinking for premium manufacturers.
Strategy · 5 min read
Warranty as brand promise
Why premium manufacturers should treat warranty data as a customer experience asset, not a back-office artifact.
Read insightData quality · 6 min readThe 60 percent problem
A premium brand assumed its warranty numbers were complete. The systems said otherwise. What partial warranty coverage really costs, and how to close the gap.
Read insightModernization · 7 min readRescue vs rebuild: automation workflows
A practical decision framework for teams stuck between spreadsheet workarounds and a large platform replacement.
Read insightFree process audit
Tell us what is not flowing. We will show you how to automate it.
A focused review of your warranty, serial number, factory-file or PIM import process. You get a written flow map, risk list and fixed-scope delivery path.
- Written flow map with owners and systems
- Data-quality and integration gap analysis
- Automation roadmap with acceptance criteria
- NDA-friendly review before sharing files
Prefer email? Reach Tetiana at tetiana.kermach@onix-systems.com.
FAQ
Straight answers before the first call.
If yours is not here, write to tetiana.kermach@onix-systems.com. Replies within 1 business day.
Warranty data, serial number flows, factory file intake, PIM imports, spare-parts enrichment, service notifications and partner workflows around ERP/PIM/customer service systems.
Usually no. We build the automation and integration layer around existing systems first, then recommend deeper platform changes only when the audit proves they are necessary.
A focused process triage can start in days. A production automation build typically follows after the operating spec is agreed and real files are available for validation.
Yes. The Duscholux case included four factory flows with different formats plus an additional enrichment step for one factory.
You do. We structure documentation, data contracts and code so your team can operate and extend the workflow after launch.
The first build is typically a fixed-scope, fixed-price engagement. It covers discovery sessions, process documentation, validation and transformation rules, the automation flow, a simple admin interface, error reporting, notifications, integration with one agreed target system, testing and handover. Full ERP/PIM implementations, historical data migration, customer-facing portals and BI dashboards are scoped separately.
A named process owner, example input files, a short description of the current process, a list of stakeholders, and access to the systems in scope. Validation rules and acceptance criteria are then agreed together during discovery, before implementation starts.
No. Warranty is the beachhead because it is high-value and visible to customers, but the same pattern applies to other operational data flows between factories, systems and service teams.