Supplier Product Data Onboarding Software
Onboard supplier product data without the manual cleanup
Supplier product information rarely arrives in the format your systems expect. Docxi.ai helps distributors, manufacturers, retailers, and marketplaces transform supplier PDFs, datasheets, spreadsheets, scans, and mixed catalog packages into structured, validated, publish-ready product data.
Why it's hard
Your PIM can store product data. Getting it in is still painful.
Product information often reaches your team through email attachments, spreadsheets, technical datasheets, scanned catalogs, and supplier websites. Before that information can enter your PIM, ERP, ecommerce platform, or marketplace, someone still has to interpret, organize, map, and validate it.
Inconsistent file formats
Suppliers use different file formats, attribute structures, and naming conventions.
Missing or inconsistent labels
Required attributes are missing, mislabeled, or buried in unstructured paragraphs.
Multiple product types in one file
A single catalog submission contains several distinct product families and taxonomies.
Cross-page attribute distribution
One product’s specifications, dimensions, and compliance details span multiple pages.
Complex technical spec tables
Specifications appear in nested matrices, engineering diagrams, or low-res scans.
Multiple schema requirements
Different product categories require strict, distinct attribute schemas and rules.
Repeated manual re-mapping
Catalog teams repeatedly map the exact same supplier format month after month.
Downstream catalog errors
Quality errors and duplicate SKUs are discovered only after data enters live systems.
Complete Workflow
Supplier data onboarding is more than importing a file
Docxi.ai helps automate the repetitive parts while keeping your team in control of decisions that require judgment.
1. Collect Files
Collect raw supplier files, datasheets, or feeds.
2. Identify Context
Identify supplier identity and document context.
3. Detect Groups
Detect product boundaries and logical groups.
4. Field Mapping
Map supplier fields to internal data model.
5. Assign Schemas
Assign category taxonomy and attribute schemas.
6. Value Normalization
Normalize units, formats, and value lists.
7. Business Validation
Run automated rule checks and completeness checks.
8. Exception Review
Route uncertain or conflicting items for review.
9. Record Approval
Approve clean records with visual evidence.
10. PIM Publication
Publish structured data to PIM, ERP, or store.
What Docxi Does
An intake and quality layer before your PIM or ERP
We transform messy supplier content into structured, validated, and publish-ready product data — before it reaches your PIM or ERP.
Automatic Supplier Identification
Recognizes returning suppliers and loads saved mapping templates.
Simple & Composite Ingestion
Handles single-family datasheets or complex multi-product catalogs.
Multi-Page Product Correlation
Connects specs and dimensions scattered across catalog pages.
Dynamic Schema Assignment
Assigns appropriate schemas per product type dynamically.
Field-Level Source Evidence
Preserves page numbers and visual bounding boxes for every value.
Exception-Based Workflows
Routes low-confidence data to human reviewers for fast verification.
Supported Formats
Start with the supplier files you already have
You do not need to ask every supplier to reformat their data before you can begin. Docxi.ai works directly with the raw source material available to your team.
Intake Workflows
One workflow for simple files. Another for mixed catalogs.
Standard Ingestion
Simple Intake
Used when the submission contains one product family, one taxonomy branch, one known schema, and a consistent document structure.
Complex Packages
Composite Intake
Used when submissions contain multiple product families, different taxonomies, mixed PDFs, technical specs, and supporting certificates.
Schema Mapping
Different products need different structures
A single supplier package may contain motors, sensors, gearboxes, valves, or control modules. Docxi.ai assigns category-specific attribute schemas dynamically.
| Product Type | Example Schema Fields Extracted |
|---|---|
| Electric Motor | Voltage, frequency, rated power (kW/HP), speed (RPM), frame size |
| Temperature Sensor | Measurement range, accuracy, output signal (4-20mA), operating temp |
| Industrial Gearbox | Gear ratio, output torque, max input speed, mounting orientation |
Quality Assurance
Find problems before they reach your catalog
Extraction is only the first step. Docxi.ai validates every record against pre-defined rules before publication.
Missing Required Fields
Flag records missing mandatory PIM attributes.
Unit & Format Errors
Normalize imperial vs metric units and format rules.
Out-of-Range Values
Catch technical specs outside engineering thresholds.
Duplicate SKUs / MPNs
Detect duplicate identifiers across supplier submissions.
Cross-Page Conflicts
Reconcile conflicting values extracted from different pages.
Controlled Value Checks
Enforce allowed enum values (e.g. approved color lists).
Use Cases
Where supplier-data onboarding creates the most work
New Supplier Onboarding
Process new supplier catalogs, assign schemas, and prepare data rapidly.
Large Catalog Processing
Ingest multi-hundred page PDF catalogs with complex multi-family lines.
Mixed Supplier Packages
Extract data from ZIP bundles containing PDFs, Excel, spec sheets, & images.
Catalog Refresh
Compare updated supplier submissions with live data to extract only changes.
PIM / ERP Migration
Clean and structure legacy supplier data prior to major system migration.
Technical Digitization
Turn engineering PDF datasheets into structured, searchable SKU specs.
“Your PIM manages the product catalog. Docxi.ai helps make the supplier data ready for it.”
Docxi.ai sits upstream of your PIM, handling complex multi-page documents, multi-schema routing, and field-level evidence.
Frequently Asked Questions
Everything you need to know about supplier product-data onboarding, PIM preparation, and automated quality checks.
What is supplier product-data onboarding?
Supplier product-data onboarding is the process of collecting product information from suppliers, mapping it to an internal structure, normalizing values, validating the result, and preparing it for a PIM, ERP, ecommerce platform, or marketplace.
What types of supplier files can Docxi.ai process?
The platform is designed for PDFs, technical datasheets, spreadsheets, scans, product catalogs, and ZIP packages containing multiple file types.
Can one catalog contain multiple product types?
Yes. A composite intake flow can separate product groups, assign different taxonomy branches and schemas, and process each group independently.
Can one product’s data be spread across multiple pages?
Yes. Product information can be correlated across pages using identifiers, context, layout continuity, and related evidence.
Is Docxi.ai a PIM?
No. Docxi.ai is an intake and product-data quality layer that prepares supplier information before it enters a PIM, ERP, or other downstream system.
Does the system replace our catalog team?
No. It reduces repetitive extraction and cleanup work. Your team remains responsible for reviewing exceptions, approving important decisions, and managing data quality.
Can supplier templates be reused?
Yes. Approved supplier mappings, schema assignments, validation rules, and document patterns can be reused for future submissions.
How is extracted data validated?
Validation can check required fields, data types, units, controlled values, ranges, duplicate identifiers, taxonomy assignments, and conflicts across sources.
Can we trace a product attribute back to the source?
Yes. The platform is designed to preserve source file, page, evidence region, confidence, schema, and review information for extracted fields.
Can Docxi.ai work with our existing PIM or ERP?
Yes. The platform is designed to export structured, approved data through files, APIs, custom mappings, or other integration methods.
Get started
Start with a catalog health review
We begin with a consultative review of your current supplier onboarding process. No commitment, no sales pitch — just practical insights.