Process dashboards and SLA tracking
result
Earlier issue detection
Service
Analytics & AI for operations
Add operational analytics, anomaly detection and AI-supported development workflows on top of trusted manufacturing data.
What we solve
Make process performance visible and actionable.
Anomaly detection for files and imports
result
Better management visibility
AI-supported documentation-to-code delivery
result
Faster iteration on automation
Deliverables
- KPI model
- Analytics dashboard
- Exception patterns
- AI delivery playbook
Outcomes
- Earlier issue detection
- Better management visibility
- Faster iteration on automation
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.
KPI model
Time-to-available, error rates and coverage per factory, defined once and measured continuously.
Exception analytics
Which rules fire most, which factories drift, and where manual work still hides.
Anomaly alerts
Late files, volume drops and format changes flagged before service teams feel them.
AI-assisted delivery
Documented rules become the instruction set that lets AI accelerate builds without inventing logic.
Runs onDashboardsAnomaly detectionSLA trackingAzureAI toolingData lineage
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.
The honest answer is usually: after the pipeline. Trustworthy validation and lineage come first; models built on unreliable data automate the errors.
Days from production to available warranty record, share of records complete on first import, and exceptions per factory per month. Those three expose almost every problem.
Other services
The rest of the stack.
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
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
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