Čepro
AI Cuts Čepro's Monthly Planning Time from Days to Hours
Monthly Pipeline and Railway Scheduling Took Multiple Days of Complex Manual Work
AI Generates Comprehensive Hourly Schedules Automatically and Replans Dynamically When Disruptions Occur
Monthly Planning Time Cut from Days to Hours, with Real-Time Replanning for Disruptions
More Case Studies
ŠKODA AUTO Saves 160 Tonnes of CO2 Emissions Per Year with Shipping Container Loading Optimization
An AI-powered loading application deployed on Microsoft Azure saved ŠKODA AUTO $918,000 and eliminated 300 container shipments in its first year, cutting 160 tonnes of CO₂ emissions annually.
Continental Barum
Smart Algorithm Significantly Reduces Inter-Warehouse Transportation Costs
Continental Barum produces over 20 million tires annually. Blindspot analysed historical order and dispatch data to build an algorithm that recommends optimal storage locations — eliminating unnecessary inter-warehouse transfers and significantly cutting logistics costs.
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.
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