Redefining PIM for Agentic Commerce
Product Data Orchestration
AI agents don’t browse your product data, they act on it. Conscia orchestrates your product data: it governs the authored record, sources live price and availability from your systems of record, and composes one correct, current answer for every channel and agent.
DATA QUALITY FOR AGENTS
Five Tests Your Product Data Must Pass
Filled-in fields aren’t enough. Agents act on what they read, so product data has to hold up the moment they read it.
THE PROBLEM
Your Product Data Is Not Ready for Agentic Commerce
Garbage in, garbage out, now at machine speed
The agent's answer is only as good as the data that it's working from.
A shopper can work around bad product data. They squint, scroll, and ask a store associate. An agent can’t. It reads your record literally, reasons over it, and transacts.
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A missing attribute means your product is never recommended.
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A conflicting dimension means the wrong part ships.
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A stale price means a disputed charge.
Bad data used to cost you a conversion. In agentic commerce it costs you the transaction, with your brand’s name on it.
But your PIM is not helping close that gap.
"Can I get this by Friday at my loyalty price?" Eight systems. One question.
An agent shopping for your customer doesn't want a description. It wants to know what the product is, what it costs this customer today, whether it can arrive by Friday, and whether this customer is allowed to buy it. That one question touches product, inventory, location, fulfillment, base price, promotions, loyalty tier and regional entitlement.
Your PIM can answer the first part. The rest lives in systems that each give a different answer. Ask five systems what "available" means and you'll get five answers.
Your Commerce Stack. Your Rules.
THE ANSWER
Product Data Orchestration with
Graph + Engine
A traditional PIM stores and syndicates. Product Data Orchestration governs and composes. It treats your product record as what it really is: governed, authored content and live, volatile data from your systems of record, brought together into one answer at the moment of the question.
Product Data Orchestration:
Graph and Engine
Product Data Orchestration runs on two modules that work as one. Graph holds the governed answer. Engine orchestrates what's live and works out the contextual answer for this customer, in this market, right now.
Product Graph - the governed half
Author, enrich, validate and approve your product record in one workspace: attributes, copy, translations, relationships, bundles and constraints.
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One governed definition of product, SKU, bundle, price and availability
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Source precedence per attribute, with lineage and manual override locks
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Generative enrichment with the LLM of your choice, connected to your data
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Role-based workflow: review, approve, publish
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Event-driven ingestion and syndication by webhook, batch or feed, in any format
Orchestration Engine — the live half.
When a question needs live facts, Engine reads Graph and your systems of record together, sources what can't be held, such as a computed price or a final availability check, and returns one deterministic answer. Its rules engine decides what this customer can see, quote and buy.
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Live price, availability and entitlement composed at query time
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Rules for market, account, channel and eligibility, evaluated on your side
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A trace of every source behind every answer
DATA QUALITY FOR AGENTS
How Conscia orchestrates quality
Graph governs the record and Engine composes the live answer, so every channel and agent gets product data that passes all five tests every time it asks.
Agents shouldn't guess whether it can be built, or who can buy it.
Configurable and relationship-heavy catalogs are where agents fail most dangerously. Left to infer, an agent will confidently offer a configuration that can't be built, or a product the customer isn't entitled to. Conscia decides on your side, deterministically, and every channel gets the same answer.
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Structure in Graph
Components, options, compatibility rules, bundles, alternates and entitlements, modelled as connected data rather than exploded SKUs.
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Logic in Engine
Which version of a product each customer sees, by market, account or channel, and whether a configuration is valid, computed at request time.
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Delivered in context, in real time.
The valid configuration, this customer's price and their eligibility arrive together, wherever the question is asked: website, portal, sales rep, dealer or the buyer's agent. Nothing is pre-built or published ahead of time.
Orchestrate once, fix once, serve everywhere
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Fix it upstream. The trace shows which source produced a bad answer. Correct it once, and every channel and agent gets the fix.
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Connect each system once. Integrations go from NxN to Nx1, with no separate iPaaS to onboard or syndicate.
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Own your product data model. Your definitions stay yours, not your commerce platform’s schema. Swap an ERP or OMS without breaking channels.
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Keep your commerce platform transacting. It stays the place where orders happen without becoming a second source of truth.
Common Questions
Questions buyers ask about Product Data Orchestration.
What is Product Data Orchestration?
It's a new kind of PIM. It governs your authored product record and orchestrates live price, availability and entitlement into it, so every channel and every agent gets one correct, current answer. It runs on two modules: Graph for the governed answer, Engine for the contextual one.
How is it different from a traditional PIM?
A traditional PIM governs content and syndicates copies of it to each channel. Price, stock and eligibility live somewhere else, so the PIM can tell you what a product is but not what it costs or whether you can have it. Conscia answers the whole question, at the moment it's asked.
Isn't Graph just another copy that goes stale?
No. Graph is kept current by events, not nightly batches, so operational data, inventory included, reflects the business as it is now. Whatever can't or shouldn't be held, Engine sources live from the system of record at query time. This includes inventory, pricing, promotions, etc.
What about data that can't be stored in advance, like a computed price?
That's Engine's job. When a question needs a live fact, such as a price calculated for this customer or a final availability check, Engine reads Graph and your systems of record together and returns one deterministic answer.
Do we have to move all product data into Conscia?
No. Conscia can reference and unify data from multiple source systems (ERP, PLM, commerce, supplier feeds) and expose a single governed interface—without requiring a “big bang” migration.
What does it take to be ready for AI agents?
Agents ask the whole product question in one go, so being found isn't enough; the answer has to be complete, current, priced for this customer and valid. Conscia composes that answer on your side and serves it through MCP, UCP, ACP, A2A and the protocols still to come. Each protocol is a thin adapter over the same record, so the next one isn't a re-platform.
Why not manage product data in our commerce platform?
Your commerce platform is the right place to transact and the wrong place to keep the truth. Once it holds its own enrichment and inventory, it becomes a second source of truth that only serves its own channel. Conscia keeps the product data model yours, so you can swap an ERP, add an OMS or replatform without breaking a channel or an agent.
Does it replace our integration platform?
It replaces the integration platform as the layer that copies data into place to serve it in real time. Ingestion into Graph is native and event-driven. Where you use an integration platform for connectivity, it can stay underneath, and Conscia governs what the data means above it.
How do we know why a customer or an agent got a particular answer?
Every answer carries a trace of the sources and rules behind it. When a price, an availability promise or an eligibility decision is questioned, you can show where it came from.
Can it handle configurable and complex products?
Yes, and that's where it matters most. Graph models components, options, compatibility rules, bundles and entitlements as connected data, not exploded SKUs. Engine's rules engine decides which version each customer sees and whether a configuration is valid, so an agent never offers something that can't be built or bought.
What happens when several systems send different values for the same attribute?
You decide which source wins, attribute by attribute. Every source value is kept with its lineage, manual overrides can be locked, and if the preferred source has no value, the next one in line fills in.
Can we use AI to enrich product content?
Yes. Generative enrichment is built in, using the LLM of your choice connected to your own data, and enriched content goes through the same review and approval workflow as everything else.
Can Conscia handle our syndication?
Yes. Core syndicates by webhook, batch or feed, in any format, straight from the governed record. You don't need a separate feed tool holding another copy of the catalog with its own mappings and fixes.
Does it work for B2B manufacturers?
Yes. Each buyer gets the whole answer for their account: what the product is, whether the configuration is valid, whether they can buy it, at what contract price and by when. It's the same answer on the portal, for the sales rep, for the dealer and for the buyer's procurement agent.
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