Running an online store manually means spending hours on order processing, inventory checks, and customer emails. Here's how to automate the entire backend with Python. The E-Commerce Automation Stack These four scripts handle 80% of repetitive e-commerce work: Order processing pipeline Inventory level monitoring Automated customer emails Daily sales reporting 1. Order Processing Pipeline Connect to your store's API (Shopify, WooCommerce, or direct DB): import httpx from datetime import datetime SHOPIFY_STORE = " your-store.myshopify.com " SHOPIFY_TOKEN = " your-access-token " def get_new_orders ( since_hours = 2 ): """ Fetch orders from the last N hours. """ resp = httpx . get ( f " https:// { SHOPIFY_STORE } /admin/api/2024-01/orders.json " , headers = { " X-Shopify-Access-Token " : SHOPIFY_TOKEN }, params = { " status " : " open " , " financial_status " : " paid " , " limit " : 50 } ) return resp . json (). get ( ' orders ' , []) def process_order ( order ): """ Extract key info and route to fulfillment.…