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Timefold and OptaPlanner POC
Development
• Solving Complex Planning Challenges with AI
• Oodles ERP
The Planning Problem
• - Manual planning is time-consuming and
error-prone
• - Scheduling, routing, and resource allocation
are complex
• - Real-world constraints often ignored in
traditional tools
Why AI Planning?
• - Automates decision-making
• - Optimizes based on constraints and
objectives
• - Saves time and reduces human error
• - Adaptable to real-time changes
Meet OptaPlanner and Timefold
• - OptaPlanner: Open-source AI constraint
solver (Java-based)
• - Timefold: Community-driven fork of
OptaPlanner
• - Both solve NP-hard problems like scheduling,
routing, and resource allocation
What is a POC (Proof of Concept)?
• - Small-scale implementation to validate a
solution
• - Quick to develop, low investment, high
impact
• - Demonstrates feasibility, efficiency, and value
POC Objectives
• - Model a real business problem
• - Apply hard & soft constraints
• - Run optimization scenarios
• - Deliver a working demo quickly
Our POC Use Case
• - Use Case: Employee shift scheduling
• - Constraints: Availability, skills, legal rules,
fairness
• - Goal: Efficient, conflict-free, optimized
schedules
POC Development Process
• 1. Understand business rules
• 2. Define constraints
• 3. Model planning entities
• 4. Configure AI solver
• 5. Test and optimize
• 6. Build simple demo interface
Key Results
• - Reduced scheduling time by 80%
• - Improved accuracy and compliance
• - Enhanced team productivity
• - Stakeholder buy-in achieved
Real-World Applications
• - Healthcare: Shift planning, bed allocation
• - Logistics: Route optimization, fleet
scheduling
• - Manufacturing: Job assignment, production
scheduling
• - Field Services: Technician dispatch, task
routing
Why This Matters
• - Better decisions, faster
• - Scalable, flexible, license-free solution
• - Aligns technology with business goals
What’s Next After the POC
• - Full-scale implementation
• - ERP/CRM system integration
• - Cloud-based deployment
• - Continuous constraint tuning
Final Thoughts
• - Planning impacts everything
• - AI-based optimization isn’t the future—it’s
now
• - Let’s bring intelligence to your planning
Learn More
• - Visit:
https://erpsolutions.oodles.io/optaplanner-
development-services/
• - Let’s talk smart planning!

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Timefold and OptaPlanner POC Development: AI-Powered Smart Planning Solutions

  • 1. Timefold and OptaPlanner POC Development • Solving Complex Planning Challenges with AI • Oodles ERP
  • 2. The Planning Problem • - Manual planning is time-consuming and error-prone • - Scheduling, routing, and resource allocation are complex • - Real-world constraints often ignored in traditional tools
  • 3. Why AI Planning? • - Automates decision-making • - Optimizes based on constraints and objectives • - Saves time and reduces human error • - Adaptable to real-time changes
  • 4. Meet OptaPlanner and Timefold • - OptaPlanner: Open-source AI constraint solver (Java-based) • - Timefold: Community-driven fork of OptaPlanner • - Both solve NP-hard problems like scheduling, routing, and resource allocation
  • 5. What is a POC (Proof of Concept)? • - Small-scale implementation to validate a solution • - Quick to develop, low investment, high impact • - Demonstrates feasibility, efficiency, and value
  • 6. POC Objectives • - Model a real business problem • - Apply hard & soft constraints • - Run optimization scenarios • - Deliver a working demo quickly
  • 7. Our POC Use Case • - Use Case: Employee shift scheduling • - Constraints: Availability, skills, legal rules, fairness • - Goal: Efficient, conflict-free, optimized schedules
  • 8. POC Development Process • 1. Understand business rules • 2. Define constraints • 3. Model planning entities • 4. Configure AI solver • 5. Test and optimize • 6. Build simple demo interface
  • 9. Key Results • - Reduced scheduling time by 80% • - Improved accuracy and compliance • - Enhanced team productivity • - Stakeholder buy-in achieved
  • 10. Real-World Applications • - Healthcare: Shift planning, bed allocation • - Logistics: Route optimization, fleet scheduling • - Manufacturing: Job assignment, production scheduling • - Field Services: Technician dispatch, task routing
  • 11. Why This Matters • - Better decisions, faster • - Scalable, flexible, license-free solution • - Aligns technology with business goals
  • 12. What’s Next After the POC • - Full-scale implementation • - ERP/CRM system integration • - Cloud-based deployment • - Continuous constraint tuning
  • 13. Final Thoughts • - Planning impacts everything • - AI-based optimization isn’t the future—it’s now • - Let’s bring intelligence to your planning
  • 14. Learn More • - Visit: https://erpsolutions.oodles.io/optaplanner- development-services/ • - Let’s talk smart planning!