AI/ML Integration (Forecasting, Scheduling, Optimization) Title: AI/ML Developer Needed for MVP Integration (Forecasting, Scheduling, Predictions, Inventory Optimization) Budget: ₹180000 Duration: 2-4 weeks Location: Remote (India preferred) ⸻ Project Overview We have a fully functional backend system and one year of historical data. We are looking for a skilled AI/ML developer to integrate a lean AI/ML layer into our existing platform. The goal is to enable: • Demand forecasting • Scheduling recommendations • Delay/dealer performance predictions • Load balancing guidance • Inventory optimization Note: This is an MVP integration. Advanced enterprise-scale optimization is NOT required. We prioritize practical, deployable AI over complex deep learning solutions. ⸻ Scope of Work 1. Forecasting • Predict daily/weekly demand from historical data • Time-series forecasting using ML libraries 2. Dealer/Delay Prediction • Predict potential delays or performance issues • Use classification/regression models 3. Scheduling • Suggest task schedules or resource allocation • Can use heuristic or rule-based logic 4. Load Balancing • Provide recommendations for distributing tasks/resources • Logic-based or heuristic approach is acceptable 5. Inventory Optimization • Suggest stock levels based on forecast and business rules • Simple optimization logic acceptable ⸻ Technical Requirements • Strong experience with: • Python programming language • scikit-learn • pandas • FastAPI • Facebook Prophet (or similar) • Ability to work with structured datasets • Deployable API endpoints for integration with existing backend • Clean, maintainable, and documented code ⸻ Deliverables • AI/ML models for each module (MVP-level) • API endpoints integrated with backend • Documentation for use and further development • Guidance on improving accuracy over time ⸻ Ideal Candidate • 2–5 years experience in AI/ML • Prior experience in forecasting, prediction, or supply chain optimization • Can deliver an MVP within tight budget and timeline • Strong problem-solving and communication skills ⸻ To Apply Please include: • Past projects relevant to forecasting, prediction, or inventory/logistics • Approach to implementing all modules • Timeline and cost estimate within the budget ⸻ Important Notes • This is an MVP integration, not a full-scale enterprise solution • Prebuilt models and libraries are acceptable • Focus on practical, deployable solutions