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Why Use Our Staffing Planner?
Get accurate team sizing, transparent pricing, and risk assessment in one integrated tool
Transparent Pricing
15% management fee - no hidden costs. See exactly what you'll pay before committing.
3-Minute Estimate
Get a complete staffing plan with guaranteed cost estimate in just 3 minutes.
Risk Assessment
Understand project risks and how our managed teams mitigate them.
Powered by Advanced Optimization Technology
Our Prescriptive Staffing Planner uses mathematical optimization algorithms to deliver the most efficient team composition for your budget and timeline.
🔬 How It Works
Our Prescriptive Staffing Planner uses Linear Programming (LP) optimization powered by the PuLP solver to mathematically determine the optimal team composition that:
- Maximizes feature delivery while respecting your budget constraints
- Minimizes cost without compromising quality or timeline
- Optimizes time-to-market with balanced team sizes
- Calculates risk scores based on team composition and project complexity
- Provides retention team recommendations for post-delivery support
Unlike rule-based calculators, our optimization engine considers hundreds of variables simultaneously - from individual role costs to feature complexity multipliers - to find the mathematically optimal solution.
⚙️ Technology Stack
Optimization Engine
PuLP (Python Linear Programming) with CBC Solver for mathematical optimization
Cloud Infrastructure
Google Cloud Run (serverless container) for scalable API endpoints
Database & Backend
Firebase Firestore for real-time data storage and retrieval
Automated Notifications
Firebase Cloud Functions with Nodemailer for email delivery
Frontend
HTML5, Tailwind CSS, Chart.js for interactive visualizations
Optimization Demo Results
Here's a sample optimization result for a $50,000/month budget with 6-month deadline
💡 Note: All salary rates are based on Indian market standards for remote professionals. These competitive rates reflect the cost of hiring skilled Indian developers, making it an excellent value for international clients.
📊 Optimized Team Composition
💰 Cost Breakdown
🎯 Optimization Features
2-5 Second Response
Cloud Run serverless architecture delivers results instantly
Mathematically Optimal
Linear Programming ensures best possible team composition
Production Ready
Scalable, secure, and tested optimization engine
How the Optimization Algorithm Works
Define Variables
The algorithm creates decision variables for each role-seniority combination (e.g., 2 Senior Frontend, 1 Mid Backend)
Set Constraints
Budget limits, deadline requirements, minimum team sizes, and role requirements are applied as mathematical constraints
Optimize & Solve
The PuLP CBC solver finds the optimal solution that maximizes success score while satisfying all constraints
Objective Function:
Maximize: Feature_Score + Timeline_Bonus - Cost_Penalty
• Feature_Score = Number of features × 10
• Timeline_Bonus = Team_Size × 2
• Cost_Penalty = Total_Cost × weight (varies by objective)
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