AI Helps ŠKODA AUTO Optimize Container Space Utilization
2,000 Weekly Pallets Loaded Manually, Leaving Container Space Wasted and Scheduling Slow
ŠKODA AUTO ships approximately 2,000 pallets weekly from its Mladá Boleslav logistics center. The company struggled to optimize container loading manually — preventing under-utilization with mismatched pallets, maintaining proper weight distribution, and meeting a strict 30-second calculation time constraint while making quality loading decisions.
OPTIKON Calculates the Optimal Pallet Arrangement for Every Container in Under 30 Seconds
Blindspot developed OPTIKON, an optimization platform deployed in Microsoft Azure. The system uses AI to calculate optimal pallet arrangements considering dimensions, weight, materials, and distribution. Workers access loading recommendations via tablets. Development began in early 2019 with a proof-of-concept completed within three months, followed by production deployment later that year.
€840K Saved, 300 Fewer Shipments, and 162 Tons of CO₂ Eliminated in the First Year
In its first year, OPTIKON saved ŠKODA AUTO €840,000, eliminated 300 container shipments, and reduced CO₂ emissions by 162 tons. The system also simplified employee training and enhanced detection of packaging errors. ŠKODA AUTO plans to expand OPTIKON adoption across other group brands.
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