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. These four scripts handle 80% of repetitive e-commerce work: Order processing pipeline Inventory level monitoring Automated customer emails Daily sales reporting 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.""" return { 'id': order['id'], 'email': order['email'], 'name': order['shipping_address']['name'], 'items': [ {'sku': item['sku'], 'qty': item['quantity'], 'title': item['title']} for item in order['line_items'] ], 'total': float(order['total_price']), 'address': order['shipping_address'] } Never run out of stock again: def check_inventory_levels(): """Check all SKUs against reorder thresholds.""" resp = httpx.get( f"https://{SHOPIFY_STORE}/admin/api/2024-01/inventory_levels.json", headers={"X-Shopify-Access-Token": SHOPIFY_TOKEN}, params={"limit": 250} ) inventory = resp.json().get('inventory_levels', []) low_stock = [] REORDER_THRESHOLD = 10 for item in inventory: available = item.get('available', 0) if available = 0: low_stock.append({ 'inventory_item_id': item.get('inventory_item_id'), 'available': available, 'threshold': REORDER_THRESHOLD }) return low_stock The sequence that increases repeat purchases: import smtplib from email.mime.text import MIMEText EMAIL_TEMPLATES = { 'order_confirmed': """Hi {name}, Your order #{order_id} has been confirmed! Items ordered: {items_list} Total: ${total:.2f} We'll send tracking info once your order ships (usually 1-2 business days). Thanks for your business!""", 'shipped': """Hi {name}, Great news - your order #{order_id} has shipped! Tracking number: {tracking_number} Carrier: {carrier} Expected delivery: {delivery_estimate}""", 'review_request': """Hi {name}, Hope you love your recent purchase! Could you take 30 seconds to leave a review? It helps other customers make decisions. Leave a review: {review_url} Thanks in advance!""" } def send_order_email(template_name, order_data, smtp_config): """Send a templated email for an order event.""" template = EMAIL_TEMPLATES[template_name] items_text = '\n'.join([ f" - {item['title']} x{item['qty']}" for item in order_data.get('items', []) ]) body = template.format( name=order_data['name'].split()[0], order_id=order_data['id'], items_list=items_text, total=order_data.get('total', 0), **order_data.get('extra', {}) ) msg = MIMEText(body) msg['Subject'] = f"Your order #{order_data['id']}" msg['From'] = smtp_config['from'] msg['To'] = order_data['email'] with smtplib.SMTP_SSL('smtp.gmail.com', 465) as server: server.login(smtp_config['from'], smtp_config['password']) server.send_message(msg) Get your business metrics every morning: from datetime import datetime, timedelta def generate_daily_report(): """Pull yesterday's data and build a summary.""" yesterday = (datetime.utcnow() - timedelta(days=1)).date().isoformat() resp = httpx.get( f"https://{SHOPIFY_STORE}/admin/api/2024-01/orders.json", headers={"X-Shopify-Access-Token": SHOPIFY_TOKEN}, params={ "created_at_min": f"{yesterday}T00:00:00Z", "created_at_max": f"{yesterday}T23:59:59Z", "financial_status": "paid", "limit": 250 } ) orders = resp.json().get('orders', []) total_revenue = sum(float(o['total_price']) for o in orders) total_orders = len(orders) avg_order = total_revenue / total_orders if total_orders > 0 else 0 report = f"""Daily Sales - {yesterday} Orders: {total_orders} Revenue: ${total_revenue:,.2f} Avg Order Value: ${avg_order:,.2f} """ print(report) return report def run_ecommerce_automation(): """Main loop - run every 30 minutes via cron.""" print(f"[{datetime.now().strftime('%H:%M')}] Running e-commerce automation...") # Process new orders new_orders = get_new_orders(since_hours=1) for order in new_orders: processed = process_order(order) send_order_email('order_confirmed', processed, smtp_config) print(f" Processed order #{processed['id']} for {processed['name']}") # Check inventory low_stock = check_inventory_levels() if low_stock: print(f" WARNING: {len(low_stock)} items low on stock") print(f" Done: {len(new_orders)} orders processed") if __name__ == '__main__': run_ecommerce_automation() # Run every 30 minutes */30 * * * * /usr/bin/python3 /path/to/ecommerce_automation.py # Daily report at 7am 0 7 * * * /usr/bin/python3 /path/to/daily_report.py This entire automation system — plus 20 more business scripts — is available as a ready-to-run toolkit: https://lukassbrad.gumroad.com/l/ugeka What's the biggest time drain in your e-commerce operations? Share in the comments.