This feature is available for customers on the
Professional
Tier or higher. Reach out to book a demo with our sales team today.
This feature is available for customers on the
Professional
Tier. Reach out to book a demo with our sales team today.
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Messy Input Data? No Problem.
If you work with product data, you already know that supplier files can arrive bloated with fields you don’t need, identifiers you can’t trust, and inconsistencies you didn’t ask for. Before you can begin enriching product content, you have to clean, normalize, and strip data down manually.
That friction slows teams down, introduces the risk of human-error, and keeps e-commerce specialists stuck in operational work.
Today, we’re launching a Trustana platform upgrade that changes that.
Modern commerce teams receive product data from dozens (sometimes hundreds) of suppliers. Each comes with their own formats, naming conventions, and internal identifiers – not all of which are relevant to the enrichment process.
Common challenges we hear from customers:
Sometimes we hear that teams spend so much time cleaning input data, they might as well have done the enrichment by hand!
As part of our latest platform upgrade, Trustana now gives you Search Parameter Control, a powerful new capability that puts you in charge of how AI identifies and matches products.
This is another leap forward in Trustana’s goal to provide you with AI that finally understands your business.
Search Parameter Control allows you to:
The AI follows your business rules.
How does this e-commerce teams in the real world? Here’s an example:
In the Automotive industry, auto parts data often includes:
These fields are useful for operations, but are confusing for AI when undergoing an enrichment process.
With Search Parameter Control, you can:
Another example:
For department stores & fashion retailers: When onboarding multiple brands and suppliers, some send clean GTINs, but in many cases, GTINs aren’t accurate.
Now you can choose whether or not to rely on GTINs to identify your products.
Search Parameter Control is now live on the Trustana platform.
If you’re ready to:
Your AI is ready to work your way. Book a demo with one of our experts today.
Search Parameter Control is a capability that lets you tell AI exactly which product data fields matter for identifying and matching products, and which fields should be ignored.
Because supplier data often includes extra or unreliable fields, Search Parameter Control prevents AI from using the wrong information, reducing mismatches and improving enrichment accuracy.
You load all supplier data as-is, then define rules that specify which attributes the AI should prioritize and which ones it should ignore during product matching and enrichment.
No. You can ingest messy, unfiltered supplier data without manual pre-cleaning. The AI follows your rules instead of treating all fields equally.
By prioritizing trusted identifiers like manufacturer part numbers, brand names, and specifications, while ignoring distributor-specific or operational-only fields.
Yes. Different rules can be applied based on industry needs, such as automotive, fashion, or department store retail. The same is true across accounts, brands, and categories with Trustana.
It significantly reduces manual preparation work by allowing AI to operate correctly without human-led data stripping or normalization.
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