I can help you build inventory management model using Python

  • 3.9
  • (5)
I can help you build inventory management model using Python
I can help you build inventory management model using Python
I can help you build inventory management model using Python
I can help you build inventory management model using Python
I can help you build inventory management model using Python
I can help you build inventory management model using Python

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:

  • Expertise in pandas, NumPy, SciPy, scikit-learn, Dash, and Flask

  • Strong experience across retail, e-commerce, and logistics domains

  • Models are efficient, scalable, and ready for real-time implementation

  • Capable of both script-based solutions and dashboard-driven tools

  • 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

  • Define your inventory goals (e.g., optimize EOQ, avoid stockouts, predict demand)

  • Specify the operational challenges you aim to solve

2) Inventory Data Inputs

  • Historical data: sales, stock levels, reorder history, supplier lead times

  • Data format: Excel, CSV, SQL export, or API

  • Indicate any missing values or required cleaning tasks

3) Modeling Approach

  • Preferred methods: EOQ, machine learning, simulations, or linear programming

  • Libraries or tools you want to use (optional)

  • Forecasting or optimization features required

4) Output Expectations

  • KPIs: reorder points, safety stock, inventory turnover, etc.

  • Delivery mode: script, web dashboard (Dash/Flask), or Excel export

5) Model Testing Strategy

  • Willingness to test on historical data?

  • KPIs to validate success: forecast error rate, service level, etc.

6) UI & Usability Features

  • Do you require a dashboard for non-technical users?

  • Level of interactivity: input boxes, scenario sliders, visual reports

7) Documentation & Training

  • Format: user manual (PDF), code comments, or walkthrough video

  • Whether internal team training is required

8) Deployment Plan

  • Standalone model or integration with existing systems

  • How you plan to use the model post-delivery

9) Timelines and Checkpoints

  • Expected delivery date or project deadline

  • Weekly/biweekly review calls for alignment

10) Support and Customizations

  • Do you need post-delivery support?

  • 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

5 Stars
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4 Stars
(5)
3 Stars
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2 Stars
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1 Stars
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Rating Breakdown
  • Seller communication level ★ 4
  • Recommend to a friend ★ 3.8
  • Service as described ★ 3.8

🇬🇧
Chen Wei
3.7 7 July 2025

Impressive model output, but initial integration with our ERP data needed some extra support.



🇮🇳
Rahul Deshmukh
3.7 7 July 2025

The Python dashboard gave me real-time visibility into stock status and simplified decision-making.



🇫🇷
Mireille Dubois
4.3 7 July 2025

The model handled multiple warehouses and products efficiently and came with detailed documentation.



🇲🇦
Fatima Zahra
4 7 July 2025

The demand forecasting model in Python was very accurate and helped reduce our overstock by 20 percent.



🇺🇸
Jack Thompson
3.7 7 July 2025

Everything worked well, though I had to ask for clearer instructions on running the simulation scripts.


Doesn’t matter you are a company or a student!

Frequently Asked Questions

I will give you the price after checking the project details.

It will be given after discussion by looking at the complexity of the task and our mutual understanding.

You can trust me because I have been working as a data analyst from past 7 years and have worked on projects across multiple industries.

Refund will be discussed after our mutual discussion and complexity of task. If I completely fail to deliver the task, I will refund 100% of the amount.

50% will be in advance and 50% after the delivery of complete task. This is negotiable and can be discussed and finalized after our discussion.

Data confidentiality is paramount. I adhere to strict data security protocols and ensure that all client information is handled with the utmost discretion and security.

Yes, I have experience across various industries and can tailor my approach to meet the specific needs and nuances of your sector.

I can solve various inventory management challenges, including optimizing reorder points, forecasting demand, managing stock levels, and minimizing holding and shortage costs using Python.

Yes, I specialize in creating Python models that can integrate seamlessly with your existing inventory management systems, enhancing functionality and data utilization.

Absolutely, I offer comprehensive training and support, ensuring your team can effectively use and understand the Python-based inventory model.

I ensure accuracy through rigorous data analysis and validation in Python, and I focus on practicality by customizing models to align with your business operations and industry-specific needs.