I will build demand forecasting and inventory planning models in python

Alcune informazioni sono riportate in lingua inglese.

Pakistan

Parlo Urdu, Hindi, Inglese, Arabo

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,...
Informazioni su questo servizio

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!

Tecnologia:

Excel

Quaderno jupyter

Power BI

Pandas

Tipo di analisi:

Analisi descrittiva

Analisi diagnostica

Expertise:

Web Analytics

Informazioni aziendali

Trend

Predizione

Linguaggio di programmazione:

Python

SQL

DAX

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