Czech Online Grocery Shop
Shopping Basket Prediction Increases Basket Value by 10% and Cuts Shopping Time by 15%
Customers Spent Too Long Rebuilding Their Baskets from Scratch Each Week
The client sought to enhance customer experience by creating personalised shopping recommendations and streamlining the purchasing process through pre-filled baskets, without sacrificing the personal feel of their platform.
Per-Customer Predictive Models Generate a Personalised Daily Grocery List in Real Time
Blindspot developed individual predictive models for loyal customers, generating real-time daily grocery lists tailored to each shopper's preferences and behaviour patterns.
Average Basket Price Up 10% and Shopping Time Down 15% Through Personalisation
Average shopping basket price increased by 10% and shopping time decreased by 15%. The project also unlocked opportunities for additional customer behaviour-driven initiatives, giving the retailer a foundation for broader analytics.
More Case Studies
Zuty Becomes European Market Leader in Paint-by-Numbers Within One Week
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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