E-commerce Automation and Optimization - Order Fraud Detection System

 

Notes:

• Problem: Fraudulent orders can result in significant losses.

• Benefit: Automatically flags suspicious orders based on predefined rules.

• Adoption: Customize fraud detection thresholds and integrate with payment processors.

Code:

import pandas as pd

from sklearn.ensemble import RandomForestClassifier

# Load order data (including features like payment method, IP address, shipping info)

order_data = pd.read_csv('orders.csv')

# Train a model to predict fraud

X = order_data.drop('fraud', axis=1)

y = order_data['fraud']

model = RandomForestClassifier()

model.fit(X, y)

# Predict fraud on new orders

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

predictions = model.predict(new_orders)

print(predictions)