ŠKODA AUTO needed to improve space utilization in containers to more efficiently plan pallet loading for the transport of components and materials.
AI-based container capacity optimization
Client NameŠKODA AUTO
Client CountryCzech Republic
- Client typeEnterprise
- IndustryTransportation, Mobility & Logistics
- Application areasManufacturing & Production, Operations & Process Automation, Supply Chain & Logistics
- AI technologiesAI Agents & Task Orchestration, Machine Learning, Optimization & Planning
- Business impactsOperational Efficiency & Cost Savings, Risk Reduction & Compliance
- Data typesDocuments / Semi-structured Data, Structured Tabular Data
- Delivery modelsProduct / Licensed Software
- DeploymentsCloud
- Key capabilitiesDecision Support & Augmented Analytics, Planning, Scheduling & Optimization
- Project stagesInitial Production Deployment
- Solution formsAutomated Backend Process, Integrated Edge / On-device Solution, Web Portal / Dashboard
Solution Description
Problem description
Solution
The OPTIKON system, using optimization algorithms, enables automatic planning of the most efficient pallet placement in containers, taking into account pallet dimensions, weight, and material.
Main Users of the Solution
Logistics operators, supply chain managers.
Project timeframe (months)
Approximately 3 months for the first phase (PoC and testing), with production deployment a few months later.
Technologies used
Microsoft Azure, Optim-AI platform
Additional services
- AI model selection and customisation
- Change support and user training
- Providing MLOps infrastructure
Implementation
Project Owner on the Client's Side
Head of business unit
Participation on the Client's Side
- Domain / process experts
- Software & Data Engineering / IT Ops
- End users
Form of Supplier Involvement
Joint implementation with the client
Operation and Maintenance
Operational Model
Client’s internal team
Needed Competencies on the Client's Side
Logistics operators, data analysts.
Other Resources or Infrastructure
Cloud infrastructure, vendor support.
Impact and Results
Qualitative Benefits
Increased efficiency in container space utilization, simplified training of new employees.
Quantitative Results
€840,000 saved during the first year, 300 containers saved during the first year, 162 tons of CO2 emissions reduced.
Client Feedback
“The system allows ŠKODA AUTO to plan and utilize container space more efficiently, delivering significant savings.”
Lessons Learned and Recommendations
Key Success Factors
Effective use of AI optimization for logistics processes, collaboration with the client’s team.
Biggest Challenges
Integration into existing logistics processes, effective data utilization.
Recommendation for Others
Implement automated AI-driven logistics optimization solutions to maximize efficiency and save costs.
Promotion
Demo / Public Resources
- https://adastracorp.com/cs/success-stories/jak-ve-skoda-auto-maximalizuji-nakladkovou-kapacitu-prepravnich-kontejneru-a-usetrili-160-tun-emisi-co2-rocne/
- https://adastracorp.com/cs/blog/optikon-pomaha-ve-skoda-auto-jeste-efektivneji-plnit-kontejnery-diky-nemu-se-do-ovzdusi-nedostalo-160-tun-co2/
- https://adastracorp.com/cs/podcast/tech-champions-cs/jakub-novak-skoda-auto-diky-reseni-optikon-nejpozdeji-do-minuty-vime-jak-optimalizovat-naklad-kontejneru-tak-abychom-usetrili-zdroje-a-nevozili-draze-vzduch/
- CompanyBlindspot Solutions
- ContactMichaela Peterková
- Emailmichaela.peterkova@adastragrp.com
- Websitehttps://blindspot.ai
- AddressKarolinská 706/3, 186 00 Praha