E-commerce Automation and Optimization - Sales Forecasting Tool

 

Notes:

• Problem: Predicting sales to plan inventory and marketing.

• Benefit: Businesses can anticipate demand and adjust stock levels accordingly.

• Adoption: Easily integrates with inventory management systems to automate stock replenishment.

Code:

import pandas as pd

from statsmodels.tsa.holtwinters import ExponentialSmoothing

# Load historical sales data

sales_data = pd.read_csv('sales_data.csv')

# Apply Holt-Winters forecasting

model = ExponentialSmoothing(sales_data['sales'], trend='add', seasonal='add', seasonal_periods=12)

model_fit = model.fit()

# Forecast next 12 months

forecast = model_fit.forecast(12)

print(forecast)