Czech Food Producer

30% Delivery Cost Savings Through FMCG Route Optimization

30%

Delivery cost savings

Expanded

Into new regions

The Challenge

Manual Logistics Planning Couldn't Support Growth or New Regional Expansion

The organisation needed to transition from manual logistics planning to a digitised system, seeking to enhance existing delivery route efficiency and establish new routes for business expansion into new geographical regions.

Our Approach

OptiSuite Standardises All Transport Operations and Delivery Route Planning Across the Organisation

Blindspot customised their OptiSuite platform — an algorithm-based optimisation engine designed for challenging logistics problems — to standardise logistics planning operations across the organisation, handling all transport operations and inter-warehouse logistics.

Results

30% Cost Savings Achieved and Successful Expansion into Previously Unreachable Regions

30% cost savings achieved through delivery route optimisation. The platform enabled successful business expansion into new regions that were previously not viable with manual planning processes.

Zuty: Becoming the European Market Leader in Paint-by-Numbers, Diamond Painting, and Dot Painting 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.

7,000+ Templates added in one week

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.

$918K First-year savings

Čepro

AI Cuts Čepro's Monthly Planning Time from Days to Hours

Čepro needed to modernise complex pipeline and railway logistics planning. Blindspot's AI application now automatically generates comprehensive hourly schedules and dynamically replans when disruptions occur — slashing what took days down to hours.

Days → Hours Monthly planning time

Next Steps

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