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.
Feature
Built for fashion ecommerce teams
Feature
Imagery, models, sizing, catalog quality
Feature
Designed for enterprise workflows
Target ID: Runway_084Match Confidence: 99.4%
merql.runway.core
Conversion Performance
+4.8%Lift
Outperforming default stock photography control group.
Active Integration
GA4 Feed Synchronized
> query model_a_impressions
> result: 14,842 sessions
Pose Performance
Runway AIFront Standing84%
Walking Action96%
Detail/Fabric View62%
Built for fashion ecommerce teams
Designed for enterprise workflows
Designed to sit above your commerce stack
Platform Need
Visual ecommerce decisions are made without performance intelligence.
Product images are expensive, but feedback is fragmented. Models, backgrounds, poses, sizing, enrichment, search and merchandising tools 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
LiveCreative and model performance intelligence for fashion ecommerce teams.
Core Target
Model imagery, studio backdrops, and category-adjusted conversion performance.
Live Suite ModuleExplore Runway
Fitto
Coming soonAI-powered sizing advice for fashion product detail pages.
Core Target
Reduce sizing returns and generate custom interactive product charts.
Sizing Intelligence
Enrich
Coming soonAI product data enrichment for titles, taxonomy, and content.
Core Target
Improve catalog completeness and image taxonomy data accuracy.
Data Quality Layer
Search
PlannedSearch and merchandising intelligence for fashion categories.
Core Target
Analyze searchandising behavior and assortments dynamically.
Discovery Layer
Stock
PlannedInventory opportunity intelligence for visual products.
Core Target
Identify SKU opportunities where demand and image data intersect.
Assortment Layer
Featured Suite Application
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 performance analytics
Backdrop color & contrast checks
AI image taxonomy enrichment
GA4 clickstream integration
Dutch fashion category maps
Merchandising queue triggers
Catalog data health reports
Multi-brand workspace tools
Runway Module
Creative Performance Signals
Score: 94
+3.2% Lift
Model A (Dresses)
DressesGA4 Sync
Score: 87
+1.8% Lift
Model B (Tops)
TopsGA4 Sync
Score: 72
-0.4% Lift
Model C (Outerwear)
OuterwearGA4 Sync
Recommended Actions
- Prioritize high-traffic Dresses missing creative tags.
- Review background contrast setups on products.
- Trigger catalog-wide daily taxonomy refresh.
Category Performance
Dresses76%
Tops64%
Outerwear52%
Execution
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
GA4
Adobe Commerce / Magento
Shopify feeds
Searchandising platforms
Email systems
Image/CDN systems
AI/vision providers
Data warehouses
Use cases
Built for the teams running fashion ecommerce.
Specific workflows for leaders, merchandisers, creatives, CRO teams, and catalog operators.
Ecommerce leadership
Track which assets drive sales, identify leaks, and monitor general data health.
Merchandising teams
Act on priority queues, manage visual layouts, and evaluate visual model sets.
Creative / content teams
Evaluate background settings, pose styles, and visual assets directly from sales data.
CRO / analytics teams
Sync GA4 performance directly to visual assets and run hypothesis checks.
Catalog / data teams
Standardize taxonomies, auto-generate attributes, and enforce data completeness.
Architecture
One operating layer above your entire stack.
Merql turns inputs from product feeds, analytics, images, enrichment and operational queues into focused applications for the teams responsible for performance.
Step 01Commerce InputsAutomated ingestion of product feeds, GA4 clickstream, CDN image assets, and catalog metadata.
Step 02Merql EngineVisual taxonomy alignment, model background validation, and image attribute scoring.
Step 03Action QueuesMerchandising recommendations, creative review workflows, and data health resolution cards.
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
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.
Plus
For growing ecommerce teams managing more products and users.
Pro
For larger fashion retailers scaling intelligence across teams.
Enterprise
For multi-brand, custom workflows, security, and integrations.
Demo 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.