The commerce data infrastructure that turns your catalog into machine-readable commerce data — ingestion, transformation, enrichment, and delivery across every channel.
Stop leaving money on the table because Google, Meta and AI can't read your products.
Machine-Ready Product Intelligence
We don't replace the catalog. We make it understandable to machines.
We turn fragmented catalogs into data that agents, search engines and platforms can interpret.
Your catalog, ready for every AI system and ad platform.
We ingest your store, normalize every product, and deliver clean feeds and AI-ready data — automatically, on every sync.
Universal ingestion — any platform, any structure
We connect to your store and process your entire catalog. First ingestion: a few hours. Every sync after that: minutes. No manual work. No exports. No spreadsheets.
AI ShoppingConversational CommerceSemantic RetrievalAI-Assisted Discovery
Use cases supported by our commerce data infrastructure
The five intents NSOLVIA DATA structures your catalog for — the same ones declared in our SoftwareApplication schema.
Product Discovery
Surface the right product when shoppers describe a need, not a SKU.
Goal-Oriented Shopping
Map goals like “wedding gift under $50” to candidate products.
Product Comparison
Side-by-side comparison across structured attributes.
Occasion/Use-Case Matching
Match products to occasions, scenarios, and lifestyles.
Agentic Commerce Retrieval
Serve clean, structured product data to autonomous shopping agents.
What gets better
Better discovery
Better AI answers
Better feeds
Better recommendations
Better retrieval
Better visibility
How we do it
Six capabilities, all working together — every sync, automatically.
Semantic Search Ready
Coming soon
Your products become findable by meaning, not just keywords.
AI-Ready Catalog
Coming soon
Every product gets intent signals, use cases, and purchase triggers. Your catalog speaks the language AI systems understand.
Cross-Platform Consistency
One ingestion. Nine endpoints. Google, Meta, Pinterest, ChatGPT — all updated from the same clean source, automatically.
Commerce Ontology
Messy titles and missing categories get normalized into structured taxonomy every ad platform and AI system expects.
AI Enrichment
Coming soon
Beyond clean data — your products get functional intent, buying signals, and conversational descriptions.
Living Infrastructure
Not a one-time export. Every sync updates your feeds, removes discontinued products, and keeps every channel current.
Structured commerce feeds for every channel
Nine endpoints, one clean source of truth — ad networks, AI assistants, and your own platform from the same enriched catalog.
Ready
Google Shopping
GET /feed/google
Get your products in front of millions of buyers searching on Google. Auto-updated daily.
Ready
Meta & TikTok
GET /feed/meta
Meta & TikTok catalog feed optimized for Dynamic Ads and AI-powered targeting.
Ready
Pinterest
GET /feed/pinterest
Pinterest Shopping feed optimized for visual commerce and product discovery.
Ready
Clean Catalog
GET /catalog
Your complete product catalog as clean, structured JSON. Ready for any integration.
Coming soon
AI-Enriched Catalog
GET /catalog?enriched=true
AI-enriched catalog with semantic attributes, intent signals, and product intelligence.
Coming soon
Semantic Search
GET /catalog/search
Find products by meaning, intent, and use case — not just keywords. Power intelligent search.
Coming soon
ChatGPT Commerce
GET /feed/chatgpt
AI-ready feed for conversational commerce. Make your products shoppable inside ChatGPT.
Coming soon
Perplexity Shopping
GET /feed/perplexity
Appear in Perplexity Shopping results with your products perfectly described for AI discovery.
Ready
Catalog Sync
POST /catalog/sync
Trigger a full catalog re-ingestion and semantic refresh. Keep your feeds current.
Three steps. Minutes, not weeks.
STEP 1
Paste your store URL
Shopify, WooCommerce, Wix, Squarespace — we recognize them all.
All three products are Coming Soon — pricing displayed for early-access planning. Reach out to lock in founding terms.
FAQ
The questions merchants ask about DATA
What does a merchant lose without AI-ready commerce data?
When a shopper asks an AI system for a product like yours and the machine can’t interpret your catalog, your product simply isn’t in the answer — a competitor’s is. As more discovery runs through AI, that gap compounds.
How is an AI-Ready Commerce Feed™ different from a regular product feed?
A regular feed maps the fields you already have. An AI-Ready Commerce Feed adds the Semantic Commerce Layer — resolved category, use-cases, attributes — so AI systems understand what each product is, not just its title.
Will my products show up in ChatGPT, Perplexity, and Google’s AI results?
NSOLVIA DATA makes your catalog into machine-readable commerce data those systems can read and surface, removing the interpretation barrier that keeps products invisible. It can’t guarantee a ranking — but if a machine can’t understand your product, it can’t surface it at all.
Do I need to rebuild my catalog or write code?
No. NSOLVIA reads your catalog and runs enrichment automatically — no manual rebuild, no code, nothing to install.
Where can I send my enriched catalog?
To commerce platforms (Google, Meta, TikTok, Pinterest; Amazon & Walmart coming) via AI-Ready Commerce Feeds™; to AI systems (ChatGPT, Perplexity, and more) via Catalog Agentic™; or take the asset itself via Catalog Export™.
How much does NSOLVIA DATA cost?
AI-Ready Commerce Feeds™ have public pricing by catalog size ($125–$699 per feed). Catalog Export™ and Catalog Agentic™ are Contact Sales.
Does it work with Shopify, WooCommerce, Wix, or Squarespace?
Yes — those four storefronts are supported natively, and destination platforms include Google, Meta, Pinterest and other ad/AI channels. Custom architectures go through Enterprise.
Compatible with
Shopify·WooCommerce·Wix·Squarespace
Google Merchant Center readyMeta Catalog readyChatGPT Commerce ready (coming soon)
NSOLVIA DATA supports natively: Shopify, WooCommerce, Wix, and Squarespace. Custom-built stores or non-standard architectures require the Enterprise plan.