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Technical Design Workshop: Route Optimization Feature

Workshop Objectives

  • Validate technical approach
  • Break down implementation challenges
  • Create initial system architecture
  • Assign prototype development tasks

Agenda (2-Hour Workshop)

1. Context and Requirements Review (30 mins)

  • Recap user personas and stories
  • Discuss key performance requirements
  • Sub-5 second processing
  • 200-entry optimization
  • Near real-time route suggestions
  • Clarify business constraints

2. Technical Constraints Analysis (20 mins)

  • Discuss input constraints
  • CSV format
  • Latitude/Longitude validation
  • Delivery ID requirements
  • Performance bottleneck identification
  • Data privacy and security considerations

3. Clustering Algorithm Deep Dive (30 mins)

  • Compare clustering approaches:
  • DBSCAN
  • K-means
  • Hierarchical clustering
  • Pros and cons for our use case
  • Performance benchmarking strategy
  • Computational complexity analysis

4. System Architecture Design (20 mins)

  • Component breakdown
  • Upload service
  • Validation layer
  • Clustering engine
  • Route suggestion module
  • Data flow diagrams
  • Technology stack confirmation
  • Backend: Python/FastAPI
  • Database: PostgreSQL with PostGIS
  • Frontend: React
  • Clustering: scikit-learn

5. Prototype Development Plan (20 mins)

Week 1 Deliverables

  • CSV parsing module
  • Geospatial data validation
  • Basic clustering algorithm
  • Performance benchmarking framework

Week 2 Deliverables

  • Route suggestion logic
  • Frontend integration
  • Optimization of clustering algorithm

6. Risk and Mitigation Strategy (10 mins)

  • Potential technical challenges
  • Backup approaches
  • Performance optimization techniques

Action Items

  • Assign prototype development tasks
  • Set up development environment
  • Create initial performance test suite
  • Schedule weekly progress check-ins

Success Criteria

  • Validate 5-second processing for 200 entries
  • Demonstrate basic route clustering
  • Create modular, extensible architecture
  • Engineering Manager
  • Backend Engineer
  • Frontend Engineer
  • Data Scientist/ML Specialist
  • Product Manager

Post-Workshop Deliverables

  1. Detailed technical specification
  2. Initial prototype code repository
  3. Performance benchmarking framework
  4. Weekly progress tracking document