Give your catalog perspective - speak the language your shoppers use.
AI-powered catalog enrichment with expert oversight—delivering shopper-ready data that feeds search and SEO.
↑ 10–25%
finds your relaxed-fit tailored blazer. That’s revenue, not just traffic.
↓ 60-85%
we match it to your rust-colored cable knit, even though you tagged it #C1440E.
3-5x faster
AI enriches, experts verify, delivering enriched data back within 24 hours.
↑ 20-35%
finds your tailored sheath dress -not every black dress in your catalog.
THE PROBLEM
Your shoppers can’t find what you stock. And it’s costing you revenue.
60% of searches return zero results – even when the products exist in your catalog – which means you’re losing 18-24% of potential search-driven revenue to broken discovery.
Example
Shopper Searches
“cozy cable knit sweater”
Your System
0 results
Your Actual Inventory
73 matching SKUs
Every failed search is abandoned revenue.
Why this keeps happening
The context shoppers actually use is missing.
Your catalog has basic data – category, color, material.
But shoppers don’t search that way. They search for:
Trends
"Cottagecore," "Quiet Luxury," "Y2K"
Occasions
"Date Night", "Workwear", "Vacation"
Moods
"Romantic," "Edgy," "Minimal," "Bold"
Style Signals
"Relaxed fit", "Structured", "Flowy"
- This isnt just a data gap.
- It’s a data and perspective gap.
OUR VIEW
Fashion isn’t a classification problem. It’s a context problem.
Most systems identify objects. Fashion teams interpret meaning.
Generic AI sees: “dress”
Fashion teams see: “midi shirtdress with relaxed fit, desk-to-dinner versatility, quiet luxury aesthetic, effortless workwear styling”
The gap: AI sees objects. Fashion teams see context, trends, occasions, and mood.
- The Solution
- Perspiq.ai – it closes this gap.
THE SHIFT
From object recognition to managed understanding
WHY PERSPIQ.AI
Built for fashion retail, not generic AI
Most AI is trained on internet images. We’re trained on real fashion catalogs—4,500+ categories, 900,000+ retail attributes from actual brand taxonomies.
What makes us different
Perspiq.ai
- Trained on 900K+ retail attributes from real fashion catalogs
- Fashion experts review uncertain outputs before they ship
- Captures trends, occasions, moods (“quiet luxury,” “date night,” “effortless”)
- Brand-safe tonality—descriptions sound like your brand
- 95% accuracy from day one—no training period
- Works with your existing stack—API + Cloud integration
- Proven at scale—50+ brands, 5M+ SKUs enriched
Generic AI Solutions
- Trained on generic internet images
- AI outputs dumped into your catalog—you clean up the mess
- Basic attributes only (“dress,” “blue,” “cotton”)
- Generic robot copy that sounds like Amazon
- Requires months of training on your data
- Platform replacement or heavy customization required
- Limited deployments, unproven at catalog scale
- The result
- Better discovery → more findable products → higher revenue.
HOW IT WORKS
From product image to enriched catalog
Capabilities by Outcome
One understanding layer, multiple business applications
Search & Discovery
- Match natural language queries to products
- Surface relevant results for long-tail searches
- Reduce zero-result searches by 60-85%
- Handle shopper language variations automatically
Shopper searches “chunky cable knit sweater” → system matches textured pullovers, relaxed-fit knits, and cozy sweaters—not just items tagged “sweater”
Merchandising Ops Automate enrichment without losing control
- Tag collections in days, not months
- Maintain consistency across seasons and channels
- Flag edge cases for expert review
- Scale operations without adding headcount
New collection upload → high-confidence attributes auto-publish → uncertain items routed to our experts for review→ full collection live significantly faster than manual tagging
SEO & GEO Scale content without diluting brand voice
- Generate SEO-optimized metadata at catalog scale
- Create GEO-aligned signals for AI-driven discovery
- Build long-tail keyword coverage automatically
- Maintain brand-safe tonality across all outputs
Single product → generates 15-20 discovery keywords, SEO-optimized title/meta, GEO signals for ChatGPT/Perplexity, brand-consistent descriptions—all in seconds
Brand Control Scale without becoming generic
- Define brand voice boundaries
- Set category-specific rules
- Approve edge cases before they ship
- Audit all changes with full transparency
Luxury brand defines “elevated casual” tonality → system generates “relaxed-yet-refined” descriptions, never “chill vibes” → brand voice stays consistent across SKUs
Trusted by leading fashion retailers
19%
67%
4.2x faster
82%
Works with what you already have
Designed to layer into your existing stack
Commerce Platforms
- Shopify
- Salesforce Commerce Cloud
- BigCommerce
- Adobe Commerce
Search Engines
- Algolia
- Elasticsearch
- Coveo
- Bloomreach
Data Pipelines
- REST API
- GraphQL
- Webhooks
- CSV/FTP
Workflow Tools
- PIM Systems
- DAM Tools
- MDM Solutions
Don’t see your platform?
PARTNERS
Built to integrate with the platforms you already trust
Perspiq.ai works alongside leading cloud, data, commerce, and implementation partners—enabling faster adoption, secure deployment, and production-ready scale.
Implementation Partners
Technology Partners
Integration Partners
RESOURCES
Clear thinking on search, data, and trust
AI-powered catalog enrichment with expert oversight, delivering
shopper-ready data that feeds search and SEO.
Product
Trust
Company
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