Your workflow, encoded
Supplier formats, category logic, validation rules and destinations differ. The automation is shaped around them.
Product data & commerce automation
Turn messy supplier data into validated, PIM-ready products.
CatalogRail transforms fragmented files, feeds, PDFs and product pages into structured records that fit your taxonomy, validation rules and commerce stack.
For retailers, distributors and manufacturers managing complex catalogs.
ONBOARDING RUN / SYNTHETIC DEMO
VALIDATED
supplier_drives_Q3.xlsxRaw supplier source · 1 product
→
STRUCTURED RECORDIndustrial variable frequency drive · VFD-7500
PIM-ready
- Rated power
- 7.5 kW High
- Input voltage
- 380–480 V High
- Output current
- 16.5 A Conflict
- Packaging weight
- — Review
Built for high-friction catalog operations
- Multiple suppliers
- Technical attributes
- Complex taxonomies
- Multiple destinations
The operational gap
Your PIM needs clean records.
Your suppliers rarely send them.
Teams spend valuable time opening files, interpreting inconsistent fields, researching missing specifications and correcting records before a product can move.
CatalogRail builds the workflow around that reality. It standardizes routine work and sends uncertain cases to people with the context they need to decide.
RAW SOURCESSupplier filesPDF catalogsProduct pagesAPIs & feeds
CATALOGRAILIdentifyMapNormalizeValidate
DESTINATIONSPIMERPEcommerceReview queue
End-to-end transformation demo
A technical product record
built from four imperfect sources.
A clean-room example using entirely synthetic information for an industrial variable frequency drive. Inspect the evidence, conflicts and review decisions behind the output.
- 01Identify
- 02Classify
- 03Extract
- 04Normalize
- 05Validate
- 06Route exceptions
INPUT EVIDENCE4 SOURCES
refnamespec_1
VFD7500-TINV 7K5 400VIP20; 15A
VFD5500-TINV 5K5 400VIP20; 12A
Filename: supplier_drives_Q3.xlsx · Unmapped supplier columns
WHAT THE SOURCE TELLS US
- Supplier reference: VFD7500-T
- Compact title suggests 7.5 kW / 400 V
- Output current conflicts with the technical datasheet
STRUCTURED OUTPUT READY FOR REVIEW
VFD
IDENTIFIED & CLASSIFIED
Industrial variable frequency drive VFD-7500
Motor control › Drives › Variable frequency drives
ATTRIBUTEVALUECONFIDENCE
4Sources consulted
8Target attributes
7Source-backed values
2Exceptions surfaced
Automate what can be justified.Route uncertainty to humans.Keep the evidence attached.
Start with a focused pilot
Controlled scope. Real data. Measurable output.
- 01
Scope a real bottleneck
Choose one supplier, category or constrained onboarding problem with clear inputs and outputs.
- 02
Map the operating rules
We encode your taxonomy, required attributes, validation logic and acceptable evidence.
- 03
Build against real data
A working pipeline transforms authorized source data and surfaces uncertain cases explicitly.
- 04
Measure the result
We count what was populated, source-verified, flagged as conflicting and routed for review.
- 05
Deliver the path forward
You receive structured output, an exception register and a clear route to production integration.
Built for accountable automation
Speed is useful.
Control makes it operational.
Traceable by design
Important facts retain their supporting source when technically feasible, making review faster and decisions defensible.
Confidence made visible
High-confidence results and uncertain cases do not follow the same path. People focus where judgment adds value.
Built to reach the stack
The objective is usable product data in the right operational destination — not another disconnected spreadsheet.
Start with a paid pilot
One real product-data problem.
A working pipeline. Clear evidence.
Bring one supplier, category or onboarding workflow. We build around your existing stack and prove the automation on authorized data before any wider implementation.
Supplier data→CatalogRail→Existing PIM / ERP / ecommerce
- Constrained production-relevant scope
- Custom transformation and validation logic
- Exception handling and source traceability
- Clear recommendation for the next operational step
Product Data & AI Automation
Remove repetitive work between data, documents and business systems.
Catalog automation is our flagship. We also build focused workflows for adjacent operational problems where the input, rules and useful output can be clearly defined.
If a team spends hours each week moving, transforming, reviewing or copying information between systems, we can probably automate part of it.
Product data & catalogs
Supplier onboarding, taxonomy mapping, enrichment, validation and exception handling for complex catalogs.
Operational workflows
Reliable movement of information across email, spreadsheets, CRM, ERP and the tools your team already uses.
Data & document processing
Extraction, transformation, classification and reporting across PDFs, Excel, feeds, APIs and structured files.
Applied AI with controls
Useful generation, classification and decision support with validation, traceability and human review where needed.
Example automations
Examples of what we automate
Give us the repetitive process. We’ll tell you if it can be automated.
Supplier catalog → structured products
PDF / Excel / supplier website
→Extract · normalize · validate
→PIM / ecommerce-ready records
Leads → CRM → follow-up
Form / email / WhatsApp
→Classify · assign · update CRM
→Follow-up and alerts
Email + attachments → workflow
Emails and attachments
→Extract · classify
→Update systems · flag exceptions
Excel / Sheets operations
Manual or recurring files
→Clean · consolidate · apply rules
→Dashboard / report / output
AI-assisted customer operations
Incoming enquiries
→Classify · controlled response
→Authorized data · human handoff
Monitoring & reporting
APIs / public websites / internal systems
→Detect change · consolidate
→Recurring alerts and reports
How we work
Small scope. Working result.
- 01You show us the current process.
- 02We define one small, measurable scope.
- 03We build and test it.
- 04We hand it over or operate it for you.
Fixed scope · existing stack · human review where needed · documentation · optional ongoing maintenance
Founder-led expertise
Specialist product-data automation, independently built.
CatalogRail is led by Pablo Sánchez, with hands-on expertise across ecommerce automation, product data, catalog operations, PIM-related workflows, data extraction, n8n and RPA.
The company is built independently around one operating principle: automate repeatable work, keep evidence visible and leave uncertain decisions to people.
Pablo SánchezFounder
A better catalog starts with one bottleneck
What slows your product onboarding down?
Tell us what arrives, what your team does manually and where the finished record needs to go. We will assess whether it is a sensible focused pilot.
Prefer email? hello@catalograil.com