AI Commerce Engine
Sleek Sartor scaled product ops, hit 99% classification accuracy, and lifted AOV by 15% with an AI commerce engine.
Cleer Consulting built and integrated a custom AI pipeline that automated HS-code and category classification, enriched product content, and added predictive analytics, eliminating manual work and unlocking data-driven growth.
AI
eCommerce
Shopify
Computer Vision
Sleek Sartor is a fast-growing eCommerce retailer with a catalogue exceeding 10,000 SKUs, selling internationally via Shopify and third-party marketplaces.
The Challenge
Manual product classification was a scaling bottleneck. Assigning HS-Codes and categories by hand caused customs delays, inconsistent taxonomy, weak SEO, and heavy operational load, making it hard to expand the catalogue and markets without spiralling costs.
Pain points
- Manual classification slowed every release and blocked scale
- Wrong HS codes caused customs holds, fines, and returns
- Inconsistent categories hurt search, filters, and SEO
- Teams spent too many hours cleaning data instead of trading
- Decisions were hunch driven with little visibility into what drives engagement and conversion
Business goals
- Remove manual HS code and category work across the whole catalogue
- Cut cost per SKU while boosting daily throughput
- Improve accuracy, trade compliance, and data consistency across markets
- Grow organic traffic and conversion with richer structured product content
- Enable proactive merchandising with clear, predictive insight
Cleer's Solution
We designed a Shopify native AI pipeline to automate product data operations end to end and surface proactive, revenue impacting insights.
Automated data processing: Ingests product data, normalises attributes, de duplicates variants, and runs idempotent updates for consistent downstream inference.
Intelligent classification: Custom trained models assign HS code and category with confidence scoring, with optional human in the loop review when confidence dips.
SEO rich enrichment: Vision and text models generate on brand titles and descriptions from images and specs to lift search, on site discovery, and conversion.
Predictive analytics: Engagement models reveal trends across clicks, add to cart, and conversion to guide merchandising and pricing decisions.
Compliance and observability: Accuracy dashboards, audit trails, and alerts ensure trade compliance and continuous quality.
The Value We Delivered
Automation removed the operational ceiling while improving quality and growth. The platform now processes 20,000+ products per month at < $0.006 per item, delivers > 99% accurate HS code and category assignments, eliminates manual classification and saves 60+ hours per week, drives a 15% uplift in average order value, and maintains 100% trade compliance with a full audit trail for confidence at scale.
AOV uplift
Better taxonomy and SEO rich content increased basket value.
trade compliance
Accurate HS codes with audit trail eliminated customs delays.
Month throughput
Sub cent processing cost (< $0.006 per item) at catalogue scale.
Classification accuracy
High precision HS code and category assignments with confidence scoring.
Hours saved/week
Full automation removed manual classification from operations.