About Pro Data Intel
Built by a small team obsessed with messy product data.
Pro Data Intel Private Limited builds tools for working with retail catalogs. We extract product information from any source, generate the attributes that are missing, validate against GS1 and marketplace standards, and publish verified data to the systems and AI agents that sell for you. We personally read every piece of feedback that comes in — usually within the day.
Real-World Use Cases
Problem, AI solution, business result.
Supplier catalogs arriving as PDFs
- Problem
- Spec sheets, price lists and line drawings arrive in formats no system can read.
- AI Solution
- Ingest parses PDFs, spreadsheets, images and CAD files into structured product records.
- Business Result
- Seconds per SKU instead of hours of manual keying — the part of the product our users lean on most.
Catalogs full of missing attributes
- Problem
- Listings publish with thin data, hurting search, filters and conversion.
- AI Solution
- Attribute AI generates missing attributes from retail-trained models with confidence scores.
- Business Result
- Far fewer attribute gaps, with confidence scores so your team reviews only what is uncertain.
Marketplace listing rejections
- Problem
- Submissions fail retailer and marketplace validation rules after the fact.
- AI Solution
- Validate checks GS1 standards, taxonomies and channel requirements before publishing.
- Business Result
- Problems caught before submission, with full source-to-output traceability.
Slow SKU onboarding cycles
- Problem
- Onboarding 10,000 SKUs takes weeks of coordination between merchants and suppliers.
- AI Solution
- Automated pipelines ingest, enrich and validate thousands of SKUs in parallel.
- Business Result
- Hours instead of weeks of coordination — and no rekeying by hand.
Weak search and recommendations
- Problem
- Shoppers can't find products because attributes and relationships are incomplete.
- AI Solution
- Product Intelligence builds taxonomies, compatibility graphs and semantic embeddings.
- Business Result
- Products that are actually findable, with relationships search engines can use.
Seller submissions at marketplace scale
- Problem
- Manual review of seller catalogs cannot keep up with submission volume.
- AI Solution
- Real-time validation APIs score and gate every incoming submission automatically.
- Business Result
- Consistent catalog quality without expanding the operations team.
Product data trapped between systems
- Problem
- PIMs, ERPs, warehouses and channels each hold a different version of the truth.
- AI Solution
- Activate publishes one verified record through APIs, webhooks and our connector library.
- Business Result
- One verified record everywhere, without a custom integration backlog.
Invisible to AI shopping agents
- Problem
- AI agents compute over structured data; descriptive copy alone leaves you unranked.
- AI Solution
- Agentic Commerce structures listings for emerging AI commerce protocols.
- Business Result
- Decision-grade, machine-readable catalogs ready for agentic discovery.
Our Vision
A catalog that is ready for the way people will buy next.
Commerce is shifting from human browsing to AI agents that reason and decide. Those agents don't read marketing copy — they compute over structured attributes, delivery promises, prices and ratings. Retailers whose catalogs are thin or inconsistent simply won't be considered.
Our vision is a product data layer that is complete, verified and machine-readable by default: generated from whatever sources exist today, validated against the standards buyers require, and delivered wherever demand appears — marketplace, storefront or AI agent.
Commerce is shifting from human browsing to AI agents that reason and decide.
Platform Features
Core capabilities of the Pro Data Intel platform.
Multi-source ingestion
PDFs, spreadsheets, images, line drawings, CAD files and APIs.
AI attribute generation
ML-derived attributes with a confidence score on every value.
GS1 validation
Standards, taxonomy and marketplace rule enforcement.
Taxonomy alignment
Automatic mapping to each retailer's category structure.
Compatibility graphs
Complementary and compatible product relationships.
Semantic embeddings
Search, recommendations and agent-ready retrieval.
APIs and webhooks
RESTful delivery into PIMs, ERPs and warehouses.
Connectors
Shopify, Amazon, Walmart, Mirakl, Salsify, Syndigo, Snowflake — and growing.
RBAC and audit logging
Complete governance and visibility over every action.
Quality analytics
Readiness scores, coverage gaps and channel health reporting.
Leadership
The people you'll actually be working with.
Connect with our CEO, Anikesh Neogi, about your product data needs at anikesh@prodataintel.com.
FAQs
What is Pro Data Intel?
Pro Data Intel is an AI-powered retail catalog data platform. It extracts product data from any source, generates missing attributes, validates against GS1 and marketplace standards, and delivers verified data to your downstream systems.
How is Pro Data Intel different from a PIM?
A PIM stores product data. Pro Data Intel generates, validates and activates it — ingesting PDFs and CAD files, filling attribute gaps with retail-tuned models, and publishing through our connectors.
What data sources does Pro Data Intel support?
PDFs, spreadsheets, product images, line drawings, CAD files, supplier portals and APIs, plus direct connections to PIMs, ERPs, commerce platforms and warehouses.
Is Pro Data Intel production-ready?
Role-based access controls, audit logging, RESTful APIs, webhooks and GS1-aligned validation are in place, and we'll tell you plainly which parts are still rough before you commit anything to a live channel.
What does it cost?
It's free to start, and early access users keep that pricing when we introduce plans. In exchange we ask for honest feedback about what breaks.