I will build demand forecasting and inventory planning models in python

Pakistan

I speak Urdu, Hindi, English, Arabic

AI Automation and Data Analytics Specialist

Hi, I'm Ayesha, an AI Automation & Data Analytics Specialist. I help businesses automate workflows, streamline operations, and turn data into actionable insights. My expertise includes n8n automation,...
About this Gig

Stockouts cost you sales. Overstocking costs you cash. The fix is a demand forecast tied to an inventory policy not a guess tied to last month's spreadsheet

I will build you a Python demand forecasting model using Prophet and ARIMA that does not stop at a chart. It tells you exactly when to reorder, how much buffer stock to hold, and which SKUs are at risk right now. 


My Average models achieve 5.62% MAPE and 0.925 R² on real retail data, which means that the forecast was 94% accurate!


WHAT YOU GET:

  • Demand forecast using Prophet and/or ARIMA (best model selected for your data) 
  • Accuracy metrics: MAPE so you know how reliable the forecast is 
  • Confidence intervals not just a single-line guess 
  • Trend and seasonality decomposition see what is driving your demand 
  • Reorder Point (ROP): the exact stock level that triggers a new order 
  • Safety Stock calculation: buffer to protect against demand spikes 
  • EOQ (Economic Order Quantity): optimal order size to minimise costs (Premium) 
  • Inventory action table: SKU | Forecast | ROP | Safety Stock | Status | Action 
  • Jupyter notebook fully runnable code 
  • Premium: Business PDF report with actionable insights


Unsure? Feel free to message!

Technology:

Excel

Jupyter Notebook

Power BI

Pandas

Analysis type:

Descriptive analysis

Diagnostic analysis

Expertise:

Web analytics

Business Insights

Trends

Prediction

Programming language:

Python

SQL

DAX

My Portfolio