You will get a Custom AI Demand Forecasting & Inventory Optimization System
Project details
You will receive a professional, end-to-end AI Demand Forecasting system designed to transform your historical data into a strategic asset for business growth. What sets this project apart is the unique combination of over seven years of hands-on experience in the e-commerce industry and advanced machine learning expertise. I do not just deliver a technical script; I provide a practical business solution that addresses the real-world challenges of inventory management, seasonal fluctuations, and supply chain optimization. By leveraging state-of-the-art algorithms such as XGBoost and Time Series Analysis, I help you minimize costly stock-outs and reduce overstock, which directly impacts your bottom line. My approach is data-driven and tailored to the specific needs of growing brands and retail businesses. You can expect high-quality code, transparent communication, and actionable insights that allow you to make informed decisions with confidence.
Machine Learning Tools
ChatGPT, GitHub Copilot, Google Sheets, MATLAB, Microsoft Excel, Microsoft Power BI, NumPy, pandas, Python, Python Scikit-Learn, scikit-learn, SciPy, SQL, Tableau, XGBoostWhat's included
| Service Tiers |
Starter
$100
|
Standard
$225
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 4 days | 8 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 4 | |
Number of Graphs/Charts | 2 | 5 | |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$50 - $150
Additional Scenario
+$50
Monthly Model Monitoring
+$150Frequently asked questions
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AU
Adriana U.
Jul 16, 2026
Marketing Data Analysis & Performance Report
Mattia is an extremely precise and kind person, I will collaborate with him again in the future
About Mattia
Data Analyst & ML | E-commerce Forecasting, Inventory, BI & Automation
Naples, Italy - 12:43 am local time
I help businesses transform raw data into actionable decisions using Data Analysis, Machine Learning, and Business Intelligence. With 7 years of experience in e-commerce operations, I understand the business impact behind stockouts, excess inventory, poor forecasting, and disconnected reporting.
🔹 MY SERVICES
• Data Analysis: Cleaning, validation, EDA, SQL reporting, and KPI analysis
• Forecasting: Time Series, Demand Forecasting, and Predictive Modeling
• Inventory: Safety Stock, Reorder Points, Inventory Optimization, and Replenishment
• Business Intelligence: Interactive Tableau and Power BI dashboards
• Machine Learning: Python, XGBoost, TensorFlow, and Neural Networks
🔹 PROVEN PROJECT RESULTS
• Analyzed 4.5M+ retail records across 50 stores to generate demand forecasts and inventory-risk classifications
• Compared baseline, XGBoost, Dense Neural Network, and LSTM models to identify the most reliable forecasting approach
• Translated forecast uncertainty into Lean, Balanced, and Conservative inventory strategies through Tableau
• Built KPI reporting and data-quality analysis for e-commerce datasets
🔹 TECH STACK
Python | SQL | Excel | Tableau | Power BI | XGBoost | TensorFlow
My focus is not just creating models or dashboards, but turning data into clear, practical decisions that businesses can actually use.
Send me a brief description of your data and the decision you want to improve. I’ll identify the most effective analytical approach for your project.
Steps for completing your project
After purchasing the project, send requirements so Mattia can start the project.
Delivery time starts when Mattia receives requirements from you.
Mattia works on your project following the steps below.
Revisions may occur after the delivery date.
Data Quality Audit & Preprocessing
I will perform a deep dive into your historical data to identify inconsistencies, clean errors, and prepare the features for the Machine Learning model.
Model Development & Optimization
I will train and compare multiple algorithms (XGBoost, Random Forest, etc.) to find the most accurate model for your specific business case.