Creative decisions are invisible
Merql turns fragmented commerce inputs into measurable, operational decision queues.
The operating intelligence layer for fashion commerce
AI infrastructure for fashion ecommerce teams.
Merql connects product data, visual performance, sizing, enrichment, and merchandising workflows into one intelligent operating layer for modern fashion retailers.
- Proof point
- Built for fashion ecommerce teams
- Proof point
- Product imagery, models, sizing, catalog quality, merchandising
- Proof point
- Designed for enterprise workflows
Merql suite
Commerce signals
Live intelligence
Runway performance
Model A
Dresses
Tops
Pipeline health
Fresh
Feeds, GA4 and enrichment queues aligned.
Data quality
TaxonomyExample 95%Creative signalReady
Built for fashion ecommerce teams
Designed for enterprise workflows
Merql is designed to sit above your commerce stack, not replace it.
Problem
Fashion ecommerce teams are making visual decisions without performance intelligence.
Product images are expensive, but feedback is fragmented. Models, backgrounds, poses, sizing, enrichment, search and merchandising tools often live in separate systems while teams export spreadsheets instead of acting on trusted signals.
Catalog data is inconsistent
Merql turns fragmented commerce inputs into measurable, operational decision queues.
Sizing friction costs conversion
Merql turns fragmented commerce inputs into measurable, operational decision queues.
Merchandising teams lack one operating view
Merql turns fragmented commerce inputs into measurable, operational decision queues.
Suite
Merql brings the intelligence layer together.
Each app is focused. Together they create a connected operating layer for fashion ecommerce.
Runway
Live / First appCreative and model performance intelligence for fashion ecommerce teams.
Used for
Model, product image, GA4 and category-adjusted performance decisions.
First app in the Merql suite
Explore RunwayFit
Coming soonSize recommendation intelligence for fashion products.
Used for
Reduce sizing friction and guide product-level size advice workflows.
Sizing intelligence
Enrich
Coming soonAI product data enrichment for titles, attributes, taxonomy, and content.
Used for
Improve catalog completeness and content quality across product teams.
Catalog quality layer
Search
PlannedSearch and merchandising intelligence for fashion categories.
Used for
Understand searchandising performance and prioritize assortment improvements.
Discovery intelligence
Stock
PlannedInventory and product opportunity intelligence.
Used for
Surface product opportunities where stock, demand, and content signals intersect.
Opportunity queues
Featured app
Runway: creative intelligence for fashion ecommerce.
Know which models, visuals, and styling choices convert. Runway turns visual merchandising decisions into measurable operating signals without exposing customer data on public pages.
Model matching and model performance
Background color and contrast analysis
Product image enrichment
GA4 product performance integration
Dutch fashion taxonomy
Creative recommendations
Data quality and pipeline health
Workspace/user management
Runway dashboard
Creative signal overview
Model A
Category-adjusted view
Model B
Category-adjusted view
Model C
Category-adjusted view
Recommended actions
- Prioritize high-traffic Dresses products missing creative attributes.
- Review studio background setup where contrast signal is incomplete.
- Refresh pipeline before next weekly merchandising review.
Category performance
DressesExample
TopsExample
OuterwearExample
Workflow
From raw commerce data to decisions.
Merql is operational rather than magical: Feed → Intelligence layer → App modules → Actions.
Connect
Product feed, analytics, images, catalog attributes.
Analyze
Models, product imagery, taxonomy, creative signals, performance.
Prioritize
Recommendations, pipeline health, product opportunities, data quality.
Act
Merchandisers and ecommerce teams work from guided queues.
Integrations
Built around the tools fashion teams already use.
Merql is designed to sit above your commerce stack, not replace it.
Product feeds / Channable
GA4
Adobe Commerce / Magento feeds
Shopify feeds
Searchandising platforms
Email/transactional systems
Image/CDN systems
AI/vision providers
Data warehouses later
Use cases
Built for the teams running fashion ecommerce.
Specific workflows for leaders, merchandisers, creatives, CRO teams, and catalog operators.
Ecommerce leadership
See what is working, prioritize investments, and monitor operational data health.
Merchandising teams
Act on product queues, identify categories needing attention, and understand model/category performance.
Creative / content teams
Evaluate imagery, compare backgrounds, poses, contrast and visual setup, then improve shoots from performance signals.
CRO / analytics teams
Connect GA4 to visual and category data, validate hypotheses, and reduce spreadsheet work.
Catalog/data teams
Improve taxonomy, enrich attributes, and monitor quality checks before issues reach customers.
Architecture
One operating layer above fragmented fashion commerce systems.
Merql turns inputs from product feeds, analytics, images, enrichment and operational queues into focused applications for the teams responsible for performance.
Inputs
Feeds, GA4, images, attributes
Feeds, GA4, images, attributes
Merql intelligence layer
Models, taxonomy, confidence, quality
Models, taxonomy, confidence, quality
Actions
Queues, recommendations, review workflows
Queues, recommendations, review workflows
Impact
Replace guesswork with measurable fashion intelligence.
Outcome-oriented visibility without fabricated customer metrics.
See which visuals convert
Example: product queues prioritized by traffic, conversion, data quality, and creative signal.
Prioritize high-impact fixes
Example: product queues prioritized by traffic, conversion, data quality, and creative signal.
Reduce manual analysis
Example: product queues prioritized by traffic, conversion, data quality, and creative signal.
Improve catalog consistency
Example: product queues prioritized by traffic, conversion, data quality, and creative signal.
Monitor data freshness
Example: product queues prioritized by traffic, conversion, data quality, and creative signal.
Act from one operational view
Example: product queues prioritized by traffic, conversion, data quality, and creative signal.
Trust
Built for serious commerce operations.
Merql is designed for controlled access, operational visibility, and enterprise-style workflows from day one.
Workspace isolation
Role-based access
Magic-link authentication
Plan/seat controls
Audit logs
Pipeline observability
Data-quality checks
Provider secrets never exposed in UI
Pricing
Plans that scale with your catalog and suite.
Pricing depends on catalog size, apps, users, and integrations. Live Stripe billing is not enabled yet.
Basic
For focused teams validating their visual commerce workflow.
Talk to MerqlPlus
For growing ecommerce teams managing more products and users.
Talk to MerqlPro
For larger fashion retailers scaling intelligence across teams.
Talk to MerqlEnterprise
For multi-brand, custom workflows, security, and integrations.
Talk to MerqlDemo request
Talk to Merql about your commerce operating layer.
Share a few details and we’ll follow up with a focused walkthrough for your team, catalog, and current data stack.
Thanks — we’ll be in touch. Demo requests are stored as marketing leads and can optionally notify the team through the existing transactional email provider.