Product data & commerce automation
From EAN, MPN or product URL to a complete product record — or focused improvements to existing pages, attributes, images and translations. We scope the workflow around your data and the systems you already use.
You do not need to rebuild your catalog to work with CatalogRail.
Choose what to automate
You can automate the full cycle or just the part that is costing you time today.
01 / End-to-end catalog automation
Start with EAN / GTIN, MPN, a product URL, supplier files or an API. Build an agreed path to enriched records ready for your PIM or ecommerce.
02 / Targeted catalog improvements
Work on existing product pages, ecommerce exports or PIM records. Keep the correct data and change only what the agreed scope requires.
A workflow scoped to your needs: input → sources → images → attributes → product content → translations → validation → create/update → activation. We agree the stages, sources and system interfaces for each project.
Built for high-friction catalog operations
Where the work piles up
Your team opens spreadsheets and PDFs, checks units, finds missing specifications and copies information between systems. New products wait while the same work repeats.
CatalogRail handles the repeatable steps and flags what needs a decision. Your existing ERP, ecommerce platform or product information system stays in place.
Copying, searching and reformatting multiply with every reference. In the audit, we measure time on a representative sample.
Missing attributes and mixed units lead to rework. Required fields and validation rules make gaps visible.
Supplier updates can disagree with existing records. Flag mismatches before agreed updates reach the destination.
Each new format delays the next batch. Start with one supplier and measure the route from received file to accepted record.
Who it is for
For operations, ecommerce and purchasing teams at electrical and industrial distributors, automotive parts businesses, and hardware or trade-supply wholesalers. Also for other sectors with complex catalogs.
Different suppliers, technical specifications and frequent updates are the common thread. The variable frequency drive below is a typical example: power, voltage and current must make sense together before the product is ready.
Before / After · Synthetic example
BEFORE / SUPPLIER FILE + PDF
spec_1 IP20; 15A
power 7K5
voltage 400V
datasheet Output current: 16.5 A
pack_weight —
Mixed units. Abbreviated labels. Two different current values. No reliable packaging weight.
AFTER / STRUCTURED + VALIDATED
A record prepared for your PIM, ERP or ecommerce, with source evidence and unresolved exceptions kept visible.
4 sources → 8 target attributes → 7 source-backed values → 2 exceptions. Counts from this synthetic demo. Time saved is measured on your own sample, not assumed.
End-to-end transformation demo
A clean-room example using entirely synthetic information for an industrial variable frequency drive. Inspect the evidence, conflicts and review decisions behind the output.
Filename: supplier_drives_Q3.xlsx · Unmapped supplier columns
Motor control › Drives › Variable frequency drives
Start with a focused pilot
Choose one supplier, category, batch of existing PDPs, attribute set, translation batch or validation process. Agree inputs, outputs and acceptance criteria.
We encode your taxonomy, required attributes, validation logic and acceptable evidence.
A working pipeline transforms authorized source data and surfaces uncertain cases explicitly.
We count what was populated, source-verified, flagged as conflicting and routed for review.
You receive structured output, an exception register and a clear route to production integration.
Built for accountable automation
Supplier formats, category logic, validation rules and destinations differ. The automation is shaped around them.
Important facts retain their supporting source when technically feasible, making review faster and decisions defensible.
High-confidence results and uncertain cases do not follow the same path. People focus where judgment adds value.
The objective is usable product data in the right operational destination — not another disconnected spreadsheet.
What the pilot delivers
Start with one supplier, a category, existing PDPs, missing attributes, translations or a validation task. The first project is small and paid, with scope, deliverables and price agreed before work begins.
Modular product data services
Each service can be commissioned independently. Bring existing records or a defined batch; we agree what to change, what to preserve and how you want the result delivered.
Scope depends on source availability, permissions and data quality. Sources such as Icecat, authorized web extraction and APIs are assessed for each project; no universal connector or unrestricted web extraction is assumed.
Thin or incomplete published pages? Improve descriptions, bullets and content structure, recover reliable specifications and flag gaps. Receive content ready for review or import.
Missing or inconsistent technical data? Research from EAN, MPN or URL, normalize units and map fields to your taxonomy. Preserve correct values and flag unsupported ones.
Preparing another market? Translate titles, bullets, descriptions and attributes with consistent terminology, technical references and quality checks for the agreed languages.
Missing or mismatched images? Locate authorized assets, associate references and variants, flag duplicates and prepare image lists or metadata for your ecommerce.
Empty fields, format differences or conflicting records? Apply category rules, identify possible duplicates and deliver normalized data with an exception report for human review.
Too much manual importing? Prepare controlled batches, import/export workflows or create/update actions, with traceability and checks before publication. Synchronization depends on available interfaces.
Example automations
Give us the repetitive process. We’ll tell you if it can be automated.
PDF / Excel / supplier website
→Extract · normalize · validate
→PIM / ecommerce-ready records
Form / email / WhatsApp
→Classify · assign · update CRM
→Follow-up and alerts
Emails and attachments
→Extract · classify
→Update systems · flag exceptions
Manual or recurring files
→Clean · consolidate · apply rules
→Dashboard / report / output
Incoming enquiries
→Classify · controlled response
→Authorized data · human handoff
APIs / public websites / internal systems
→Detect change · consolidate
→Recurring alerts and reports
How we work
Fixed scope · existing stack · human review where needed · documentation · optional ongoing maintenance
Work & method
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.
Pablo’s prior professional ecommerce experience includes designing and working with end-to-end product lifecycle pipelines. CatalogRail builds each customer workflow independently, using authorized data and agreed interfaces.
Our public demo uses synthetic data. A pilot uses your authorized supplier data, your rules and agreed acceptance tests. We compare the result with the current manual process and document exceptions.
Pablo SánchezFounder
Start with your actual need
Tell us whether you need a full workflow or an improvement to existing products. A small batch of pages, attributes, translations or validation checks can be a useful starting point.
We will review the input, available sources and expected output, then agree a paid first scope and price before starting. Ongoing support can be scoped when it is useful.
Prefer email? hello@catalograil.com