Large Czech E-Shop
Return Rate Prediction Saves Czech E-Shop Over €100,000 Per Year
High-Return Products Stayed on Sale Long Enough to Accumulate Significant Return Costs
The client operated a substantial online store with an extensive product catalogue and needed to identify which items would experience higher return rates before costs accumulated.
Quantile Regression Model Predicts the Return Rate of Every Individual Product
Blindspot delivered a quantile regression model customised for each product, enabling prediction of individual item return rates across the full catalogue.
Over €100,000 Saved Annually by Removing Problematic Products Before Returns Pile Up
Annual cost savings of 2,500,000 CZK (approximately €100,000). The client gained the ability to detect problematic products early and remove them from the shelf before return costs accumulated.
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Blindspot built three integrated systems — an internal operations platform, a computer vision design application, and a multi-market e-shop — enabling Zuty to add 7,000+ product templates in a week and dominate the European market.
Czech Food Producer
30% Delivery Cost Savings Through FMCG Route Optimization
A Czech food producer replaced manual logistics planning with Blindspot's OptiSuite platform, achieving 30% cost savings on delivery routes and successfully expanding operations into new regions.
German Retail Chain
GDPR-Compliant COVID Monitoring Saves Retailer €2,500–4,000 per Store per Month
A German retail chain needed 24/7 COVID compliance monitoring across all locations without storing personal data. Blindspot's Macula platform processed video streams on-premise in real time, automating mask detection and capacity alerts — replacing the cost of dedicated entrance staff.
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