Bednar FMT faced excessive complexity in manual production planning, leading to inefficient line utilization and overtime. With the transition to new production strategies, supply chain problems increased, requiring urgent resolution due to the decline in the agricultural sector.
AI production optimization in agricultural machinery for increased efficiency
Client NameBednar FMT
Client CountryCzech Republic
- Client typeEnterprise
- IndustryAgriculture & Food
- Application areasOperations & Process Automation, Product Development, Innovation, R&D, Supply Chain & Logistics
- AI technologiesAI Agents & Task Orchestration, Machine Learning, Optimization & Planning
- Business impactsData-Driven Decisions & Planning, Employee Enablement & Productivity
- Data typesSensor / IoT Data, Structured Tabular Data
- Delivery modelsProduct / Licensed Software, Service / Subscription
- DeploymentsCloud
- Key capabilitiesDecision Support & Augmented Analytics, Planning, Scheduling & Optimization
- Project stagesInitial Production Deployment
- Solution formsAPI / Micro-service Interface, Automated Backend Process, Web Portal / Dashboard
Solution Description
Problem description
Solution
On the OptiSuite platform, we developed an optimization application that leverages advanced AI algorithms to quickly evaluate production scenarios and generate optimized plans that account for key criteria such as line capacity and delivery deadlines.
Main Users of the Solution
Production planning team, data analysts, logistics specialists.
Project timeframe (months)
6
Technologies used
Adastra OptiSuite platform
Additional services
- Data collection and pre-processing
- Change support and user training
- Providing MLOps infrastructure
Implementation
Project Owner on the Client's Side
Head of functional/operational unit
Participation on the Client's Side
- Domain / process experts
- Software & Data Engineering / IT Ops
- Project and change management
Form of Supplier Involvement
Complete realization
Operation and Maintenance
Operational Model
Client’s internal team
Needed Competencies on the Client's Side
Planning specialists, data specialists
Other Resources or Infrastructure
Ongoing vendor support, cloud infrastructure
Impact and Results
Qualitative Benefits
Process automation, reduced workload on the planning team, greater decision-making flexibility.
Quantitative Results
Annual revenue increase of €1.75 million.
Client Feedback
“Automation of planning has allowed us to easily adapt to changes in demand and reduced our reliance on manual processes.”
Lessons Learned and Recommendations
Key Success Factors
Effective AI integration, close collaboration with the client team.
Biggest Challenges
Conversion of manual systems into a digital format, forecasting of production scenarios.
Recommendation for Others
Engage key business roles from the beginning and emphasize future development potential of the digital solution.
- CompanyADASTRA GROUP
- ContactMichaela Peterková
- Emailmichaela.peterkova@adastragrp.com
- Websitehttps://adastragrp.com
- AddressKarolinská 706/3, 186 00 Praha