Insights, outcomes, and surprises from fully automated e-commerce operations.

Imagine handing over your entire e-commerce store to an AI agent for a week. No manual updates, no human oversight — just autonomous digital workers managing every task.

What would happen? Would sales drop? Would the site crumble under automation? Or could AI actually outperform human operations?

We decided to test it — and here’s what we learned.

Day 1: Setup and Handover

• Connected AI agents to Shopify, BigCommerce, and Amazon.
• Assigned tasks: product updates, pricing, inventory management, marketing campaigns, and order monitoring.
• Configured safety rules: approval flows for high-value actions, rollback capability, and KPI monitoring.

Result: Zero errors. The AI quickly familiarised itself with store data and workflows.

Day 2: Inventory and Pricing Optimisation

• AI analysed stock levels, past sales, and seasonal trends.
• Automatically rebalanced inventory, triggered reorders, and adjusted pricing on 500 SKUs.
• Detected slow-moving items and suggested bundle promotions.

Result: Stockouts prevented, overstock reduced, and inventory aligned perfectly with demand forecasts.

Day 3: Marketing Campaigns

• AI launched email campaigns for abandoned carts and VIP customers.
• Social media ads were optimised in real-time based on engagement metrics.
• Dynamic discounts applied for flash sales across platforms.

Result: Open rates and CTRs improved by 12%, revenue from abandoned cart recovery increased by 8%.

Day 4: SEO and Product Optimisation

• Generated SEO-friendly product descriptions and meta tags automatically.
• Fixed missing alt-text on images and optimised image sizes.
• Monitored website speed and Core Web Vitals, making adjustments for faster load times.

Result: Organic traffic improved, bounce rate decreased, and the site performed faster than before.

Day 5: Customer Support and Fraud Detection

• AI agents responded to common customer queries via chat and email.
• Flagged suspicious transactions automatically and escalated critical issues.
• Handled returns and refunds efficiently.

Result: Response times dropped from hours to minutes, customer satisfaction increased, and potential fraud was prevented.

Day 6: Multi-Channel Synchronisation

• AI updated product listings across all marketplaces.
• Price changes, inventory levels, and promotions synchronised automatically.
• Prevented errors like duplicate listings or inconsistent pricing.

Result: Operations across Shopify, Amazon, and BigCommerce ran flawlessly and in sync.

Day 7: Analytics and Insights

• AI generated a full performance report: sales, inventory trends, campaign effectiveness, and website KPIs.
• Highlighted opportunities for optimising promotions, products, and ad spend.

Result: The team gained actionable insights without manually analysing data.

Key Takeaways from a Week of AI-Run Operations

1. Efficiency Gains: Hundreds of hours of manual work replaced by AI.
2. Error Reduction: Fewer mistakes in pricing, inventory, and promotions.
3. Faster Decision-Making: Real-time adjustments outperform traditional workflows.
4. Revenue Growth: Optimised campaigns, pricing, and inventory directly impact sales.
5. Scalability: Small teams can manage large SKUs and multi-channel stores effortlessly.
6. Peace of Mind: Automated backups, rollback, and monitoring prevent catastrophic failures.

Final Word

Letting AI run your store for a week revealed one clear truth: autonomous agents aren’t just assistants — they’re full-fledged digital workers. They optimise operations, reduce errors, and unlock opportunities that humans can’t match at scale.

For merchants, the future isn’t just AI-assisted — it’s AI-managed.