I will build inventory optimization system to minimize costs and maximize stock
Data Scientist Helping Ecommerce Optimize Sales, Pricing and Inventory
About this Gig
Tired of stockouts losing sales or overstock draining cash? I build AI-powered inventory optimization systems that predict exactly how much to stock and where to allocate it.
WHAT YOU GET
- Optimal Reorder Points
- Safety Stock Calculations
- Multi-Location Allocation
- Demand Forecasting ML models
- Cost Analysis Balance
- Interactive Dashboard
HOW IT WORKS
- Data Analysis - I analyze your sales, stock levels, lead times, costs
- ML Optimization - Algorithms predict optimal inventory for each product/location
- Validation - Test recommendations against historical data
- Delivery Optimization model + Dashboard + Implementation guide
PERFECT FOR
- E-commerce operations managers
- Multi-location retailers optimizing allocation
- Shopify/Amazon sellers reducing stockouts
- Finance teams improving working capital
WHY ME?
- Predictive Optimization - ML forecasts demand + calculates optimal stock
- Strategic Intelligence - Not just software, actionable recommendations
- Cost-Focused - Minimize overstock + stockout losses
- Complete Solution Analysis + Model + Dashboard + Action plan
Share your inventory challenges (# products, locations, current pain points) so I can recommend the right package.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
Panda
APIs:
Other
Tools:
Jupyter Notebook
•
Excel
My Portfolio
FAQ
Can the model be deployed?
Yes — I can deliver it as an interactive Streamlit app or FastAPI API.
What inventory data do I need to provide?
Minimum: Current stock levels, 6-12 months sales history, product lead times, and product costs. Ideally: carrying costs, stockout costs, and supplier reliability data. I'll work with what you have and guide you on format.
Can you handle multi-location inventory optimization?
Yes. Standard/Premium packages include multi-warehouse or multi-store allocation. I'll analyze demand patterns per location and recommend transfer quantities to minimize stockouts and balance inventory efficiently.
How is this different from your sales forecasting gig?
Sales forecasting predicts future revenue for planning. Inventory optimization uses those forecasts PLUS cost data to tell you exactly how much stock to order, when to reorder, and where to allocate it. They complement each other perfectly.
Will this work for seasonal products with fluctuating demand?
Absolutely. My models account for seasonality, trends, and demand variability. I'll calculate dynamic reorder points that adjust based on predicted demand patterns and include safety stock recommendations for high-variability items.
Can I use this optimization system ongoing?
Yes. You'll receive the trained model, code, and documentation. Premium tier includes a retraining guide so you can update recommendations as your business grows. I also offer monthly update services as an add-on.
