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Most AI applications breaks the moment they hit real retail operations.
Not because the models aren't good enough – but because they don't understand how your business actually works.
Your sourcing hierarchy. Your naming conventions. Your compliance constraints. Your brand-level exceptions. Your category rules.
None of this is native to a general-purpose LLM.
So today, AI behaves like an untrained intern—sometimes brilliant, often chaotic, never predictable.
Trustana’s latest platform capability Context Graph fixes this.
The Foundation of Production-Grade AI
Today, all high-performing teams run on a shared context: rules, preferences, domain knowledge, tone, constraints, and institutional memory. This mix of formalized and unformalized factors help teams to make decisions that work best for their business environments.
In order for AI to perform at the highest levels, it needs the same thing.
Trustana’s Context Graph gives AI the institutional context it has been missing — so it can finally perform with the quality, consistency, and judgment your team expects.
What Goes Into Your Context Graph?
Context Graph is a governance layer for AI-generated product data.
It tells the AI exactly how your organization works:
- Where to search and what to prioritize in that search
- What sources to trust and how to validate those sources
- What vocabulary to use or avoid and what tone to follow
- Where overrides apply and what "done right" means for your brand
- What SEO signals matter for your categories
- What business context drives decisions (seasonality, regional variations, etc.)
Context Graph converts your business rules and operational intelligence into a structured policy system—one the AI follows consistently at scale across your entire catalog, whether that’s ten thousands SKUs or millions.
And don’t worry – setup can be done once (and adjusted as your business context evolves), and our team of product data experts is at the ready to assist!
How Will Context Graph Improve My AI Output?
Compared to a generic AI, Trustana’s Context Graph enables superior accuracy and task-adherence, reducing manual corrections your team may need to make, and freeing up capacity for higher value tasks.
Context Graph can be applied in a wide range of ways to your business, including:
- Applying a complex naming convention to all 100,000 products in your catalog
- Ensuring that data for your products is ONLY sourced from brand.com
- Following your company’s guidance in terms of “banned words” or “preferred phrases”
- Prioritizing what data sourced from your suppliers should be prioritized, and what data can be ignored
- ...many more!
Ready To See It In Action?
Book a demo with Trustana and see how mid-market and enterprise retailers use Context Graph to deliver accurate, governed product data across every channel.
