E-commerce Operations Bot

The Problem

E-commerce operators live in reactive mode. You find out about stockouts when they happen. You notice fraud patterns after the chargebacks arrive. You discover a competitor undercut your price when a customer tells you.

The data to predict all of this already exists in your systems. It's just scattered across inventory, orders, analytics, and supplier tools — and nobody has time to connect the dots manually every day.

What the Agent Does

• Inventory forecasting: predict stockouts before they happen based on sales velocity, seasonality, and lead times — "you'll run out of SKU X in 3 days"
• Order anomaly detection: identify fraud patterns, unusual refund rates, and suspicious order clusters in real time
• Competitor price monitoring: track competitor pricing and alert you when you're being undercut on key products
• Customer cohort analysis: surface behavioral trends — "repeat buyer rate dropped 15% this month" — before they hit revenue
• Automated reorder suggestions: generate purchase orders for suppliers based on demand forecasting and current stock levels

What Makes This Different

Individual tools exist for inventory management, fraud detection, and price monitoring. The difference is connection. This agent sees across all three simultaneously, which means it catches things siloed tools miss.

A spike in returns for one SKU? Could be a quality issue, could be a competitor running a promotion, could be a fraud ring. The agent correlates signals across inventory, orders, and customer behavior to tell you which.

Getting Started

Connect your Shopify or WooCommerce store, link your supplier and analytics tools, and the agent starts building a model of your business within days. First alerts — inventory predictions, anomaly flags — arrive within the first week.