Never miss a trend, an error, or a margin opportunity again.
Tracy AI is the built-in intelligence layer for Trasix. It doesn’t force you to change your workflow or export data to an outside tool — it lives directly inside your workspace to automate data tagging, simplify search, simulate line changes, and surface instant past-season insights.
Our approach to AI
Better inputs. Human outputs.
We believe AI should support decisions, not make them. Tracy AI operates on a strict human-in-the-loop framework. Every data enrichment is explainable, every scenario simulation can be overridden, and nothing changes autonomously. Tracy handles the data friction so your team can make the final commercial calls with total certainty.
Intelligence that lives where the work happens.
Six native capabilities that remove data friction across the full go-to-market cycle.
AI Vision enrichment
Automatically scans uploaded product images and tags them with attributes matching your exact brand taxonomy — eliminating manual data entry at ingestion.
Natural-language search
Search assortments using normal business phrases instead of memorizing exact style codes or fighting rigid system filters.
Scenario simulation
Type simple prompts to mock up assortment changes, evaluate margin impacts, and simulate the best tactical moves before finalizing a line.
Reverse image lookup
Drop in any reference image to instantly pull up visually similar products from current or past seasons and prevent duplicate development.
Conversational workspace agent
Ask Tracy data questions directly inside Trasix or Microsoft Teams to pull assortment insights and performance metrics without running manual reports.
Predictive performance matching
Flag underperforming styles by automatically cross-referencing early line plans against multi-season historic data before production.
One intelligence layer, value for every team.
Reference and tag without paperwork.
Find past-season references instantly and get immediate metadata tags on new sketches without manual paperwork.
Navigate massive lines in plain language.
Run multi-season product comparisons, simulate assortment pivots, and navigate massive lines using fast, natural language.
Walk in with accurate, asset-matched catalogs.
Access completely accurate, asset-matched catalogs with automated copy before buyer meetings — without waiting on data cleanups.
Clean, governed data at scale.
Maintain clean, structured product data at scale within an enterprise-governed, fully integrated AI framework.
Most AI sits outside your workflow. Tracy lives inside it.
Because Tracy is natively embedded in the Trasix execution layer, it already understands your product relationships, brand taxonomy, and historical data.
Generic AI tools
- Export spreadsheets out of your systems.
- Prompt a chatbot in a separate window.
- Manually paste results back into your tools.
- No context for your data or taxonomy.
Tracy AI
- Works on live data, right inside Trasix.
- No separate tool, login, or prompt engineering.
- Already understands your product relationships.
- Makes your existing workflow faster and smarter.
What changes once Tracy is in the workspace.
Clean data at ingestion
Product data is accurate the second it enters Trasix, ending the cycle of post-season cleanup projects.
Zero search friction
Teams find styles across categories on the first try, using the words they actually use.
Unified workflow
Research, data tagging, copywriting, and assortment execution happen in one workspace — not scattered across three disconnected tools.
How Trasix transformed this sportswear company’s visual merchandising assortment & digital catalog creation.
A major East Coast–based sportswear company with over $5B in annual revenue operates one of the most globally distributed merchandising organizations in the industry, with teams spanning apparel, footwear, and accessories across more than 40 regions. For years, this structure relied on a patchwork of legacy tools — PowerPoint for presentations, Excel for line plans, Adobe files for visual references, Miro boards for early collaboration, and multiple PLM and DAM systems feeding different sources of truth.
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