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Fiverr Pro
English
$
USD
I will build a demand forecasting and inventory optimization model
Build custom ML models for demand forecasting and inventory optimization
Quantitative Data Scientist & Physics Ph.D. specializing in time-series forecasting, demand modeling, and inventory decision engines. I help businesses transform complex data into actionable, revenue-...
About this Gig
This Gig bridges the gap between raw statistical predictions and real business cash flow. Instead of delivering generic charts, it provides an end-to-end forecasting pipeline and decision engine that tells clients exactly what and when to reorder.
Core Concept & Positioning
- The Problem It Solves: Eliminates costly stockouts on high-velocity items and prevents excess working capital from being tied up in dead stock.
- The Methodology: Tests multiple time-series models (LightGBM, ARIMA, Exponential Smoothing, and baselines) across product lines to prove which method yields the highest accuracy before placing purchase orders.
- The Deliverable: A zero-friction setup that outputs clear Excel reports alongside an interactive Streamlit web dashboard for scenario modeling (lead times, safety stock, and reorder points), requiring no client-side database maintenance
Send me a sample of your historical sales data, and I will run a preliminary audit to prove how much we can improve your forecast accuracy before you place an order.
Expertise:
Feature learning
•
Decision trees
•
Predictive analysis
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Tools:
Jupyter Notebook
My Portfolio
FAQ
Why do you test multiple models?
No single model wins across every product. Simple or seasonal SKUs often perform best with statistical models like ARIMA or Holt-Winters, while complex, multi-category lines benefit from LightGBM machine learning. By backtesting multiple approaches on your historical data, I mathematically prove whi
What data do I need to provide to get started?
A simple historical sales and inventory (for inventory modelling) dataset spanning a minimum of the last 18 months in CSV or Excel format, containing Date, Product/SKU ID, and Quantity Sold. Promotional calendars would be a bonus
Can I test your methodology before committing to a full project?
Yes. The Basic package serves as a lower-risk Forecast Accuracy Audit. You can send a sample of your historical data, and I will backtest 3–4 models to prove how much accuracy can be gained over your current baseline before scaling across your full catalog.
