I can help you build inventory management model using Python
- 3.9
- (5)
Project Details
Why Hire Me?
With extensive experience in Python-based inventory solutions, I deliver models that combine automation, accuracy, and flexibility. From classic EOQ to machine learning-driven forecasts, my models are built for real-world performance.
What Sets My Python Service Apart:
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Expertise in
pandas
,NumPy
,SciPy
,scikit-learn
,Dash
, andFlask
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Strong experience across retail, e-commerce, and logistics domains
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Models are efficient, scalable, and ready for real-time implementation
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Capable of both script-based solutions and dashboard-driven tools
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I offer hands-on training and full documentation for long-term usability
What I Need From You to Start the Project
To build a tailored, high-performing Python model for your inventory operations, please provide the following:
1) Project Objectives and Scope
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Define your inventory goals (e.g., optimize EOQ, avoid stockouts, predict demand)
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Specify the operational challenges you aim to solve
2) Inventory Data Inputs
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Historical data: sales, stock levels, reorder history, supplier lead times
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Data format: Excel, CSV, SQL export, or API
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Indicate any missing values or required cleaning tasks
3) Modeling Approach
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Preferred methods: EOQ, machine learning, simulations, or linear programming
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Libraries or tools you want to use (optional)
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Forecasting or optimization features required
4) Output Expectations
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KPIs: reorder points, safety stock, inventory turnover, etc.
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Delivery mode: script, web dashboard (Dash/Flask), or Excel export
5) Model Testing Strategy
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Willingness to test on historical data?
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KPIs to validate success: forecast error rate, service level, etc.
6) UI & Usability Features
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Do you require a dashboard for non-technical users?
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Level of interactivity: input boxes, scenario sliders, visual reports
7) Documentation & Training
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Format: user manual (PDF), code comments, or walkthrough video
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Whether internal team training is required
8) Deployment Plan
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Standalone model or integration with existing systems
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How you plan to use the model post-delivery
9) Timelines and Checkpoints
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Expected delivery date or project deadline
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Weekly/biweekly review calls for alignment
10) Support and Customizations
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Do you need post-delivery support?
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Any advanced custom features or recurring updates?
Portfolio

Python-Based Inventory Optimization for a U.S. Mid-Sized Retail Chain Using EOQ and Safety Stock Logic
Built a customized inventory model using EOQ and safety stock formulas in Python for a U.S. retail chain. The model improved ordering efficiency and reduced stockouts and overstock penalties by over 20%.

Production Inventory Model for a U.S. Manufacturing Plant Using Python and Demand Forecasting
Developed a Python-based inventory simulation model to align raw material orders with forecasted production volumes. The model helped reduce holding costs and raw material shortages at a Tier-2 auto parts supplier.

Python-Driven Medicine Inventory Model for a U.S. Multi-Clinic Healthcare Provider
Designed a Python tool to forecast medicine consumption and calculate reorder points for multiple clinics based on past usage patterns and supplier lead times. Helped reduce expired stock and prevent critical shortages.
Process

Customer Reviews
5 reviews for this Gig ★★★★☆ 3.9
Impressive model output, but initial integration with our ERP data needed some extra support.
The Python dashboard gave me real-time visibility into stock status and simplified decision-making.
The model handled multiple warehouses and products efficiently and came with detailed documentation.
The demand forecasting model in Python was very accurate and helped reduce our overstock by 20 percent.
Everything worked well, though I had to ask for clearer instructions on running the simulation scripts.