# Automate Product Data Management with AI

> Manage product catalogs with AI-powered enrichment, validation, and multi-channel syndication. Automatically generate descriptions, optimize images, validate attributes, and sync to 100+ sales channels. Scale to millions of SKUs with intelligent deduplication and data quality monitoring.

Canonical: https://pdm.do/

## In code

```ts
import { PDM } from 'pdm.do'

// AI-powered product data management
on.Product.created(async $ => {
  const description = await $.AI.generate.ProductDescription({
    name: $.data.name,
    category: $.data.category,
    tone: 'professional'
  })

  const enriched = await $.AI.enrich.ProductData({ product: $.data })

  $.PDM.update.Product({ id: $.id, description, ...enriched })
  $.PDM.sync.ToChannels({ productId: $.id, channels: ['all'] })
})
```

## Frequently asked questions

### How does AI-powered product enrichment work?

AI agents automatically generate product descriptions, extract attributes from images, classify products by category, and enrich data from competitor websites and industry databases. The system analyzes product names, specifications, and images to fill missing attributes with 90%+ accuracy. Supports multiple languages with automatic translation. AI learns from your catalog to maintain consistent tone, style, and terminology. Human review workflow for high-value products ensures quality.

### Can pdm.do sync to multiple sales channels automatically?

Yes. Native integrations with 100+ sales channels including Shopify, Amazon, Walmart, eBay, Etsy, Facebook, Instagram, and Google Shopping. Automatic product data transformation to match each channel's requirements. Real-time inventory sync, pricing updates, and order management. Handle channel-specific attributes, taxonomies, and validation rules automatically. Support for custom channels via API. Bulk operations for millions of SKUs with intelligent rate limiting.

### What about data quality validation and governance?

Comprehensive data quality monitoring with customizable validation rules for required attributes, format checks, and business logic. AI continuously scans for duplicate products, inconsistent data, and missing information. Data quality scores per product with detailed issue reports. Automated remediation for common problems like formatting, units of measure, and category mapping. Full audit logs track all changes with user attribution. Support for approval workflows and data governance policies.

### How does pdm.do handle large product catalogs at scale?

Architected for enterprise scale with support for 10M+ SKUs and billions of attributes. Sub-second search across entire catalog with full-text and faceted search. Intelligent deduplication merges similar products automatically. Bulk operations process millions of SKUs with progress tracking and error handling. Support for catalog versioning, branching, and rollback. Query performance is consistent regardless of catalog size due to edge caching and intelligent indexing.

### Can I integrate with existing PIM, ERP, and e-commerce systems?

Yes. Native integrations with SAP, Oracle, Microsoft Dynamics, Salesforce, and other enterprise systems. REST and GraphQL APIs for custom integrations. Real-time bidirectional sync of product data, inventory, pricing, and orders. Support for incremental updates and change detection. Export to CSV, Excel, JSON, XML, or custom formats. Webhook support for real-time notifications. Works with existing MDM and data warehouse infrastructure.

## Part of Platform.do

pdm.do is one of the primitives of Platform.do. Every .do shares one grammar, Business-as-Code, and one SDK.

- What is Business-as-Code? https://platform.do/business-as-code
- Platform.do: https://platform.do/
- Docs: https://docs.platform.do