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Ecommerce
Order status. Shipping delays. Return eligibility. Product availability. These questions hit your support queue in predictable patterns, require no judgment, and cost the same per ticket whether answered by a $20/hour agent or an AI system.
We build AI systems that handle the high-volume, low-complexity layer of your support and operations stack, so your team focuses on the customer conversations that actually require a human and on the operational work that moves the business forward.
Tell us about your support or operations workflow.
Five specific AI workflows for ecommerce operations.
An AI agent handles the order status, shipping delay, and delivery question volume that fills your support queue, answering from live order data without a support agent on the thread.
AI-powered recommendations based on browsing behavior, purchase history, and product attributes, not just collaborative filtering. Works across catalog sizes from 500 to 500,000 SKUs.
Classify inbound tickets by type (return request, order question, product complaint, billing issue) and generate accurate first responses for the most common categories. Agents handle what requires judgment; the AI handles the rest.
Classify product reviews by sentiment, category, and recurring themes. Generate response drafts for negative reviews with appropriate tone calibration. Gives your team time back without leaving reviews unacknowledged.
Flag unexpected stockout patterns, overstock conditions, and velocity anomalies before they hit customer-facing availability. Feeds into your reorder or markdown decision workflow.
Stores with fewer than 1,000 monthly orders
AI support automation and recommendation systems provide meaningful ROI at volume. Below roughly 1,000 orders per month, the setup cost exceeds the operational savings. A good help desk tool is the right solution at that scale.
Companies wanting AI to handle returns and refund decisions autonomously
AI can classify a return request and generate a response. It should not unilaterally authorize refunds or make exception decisions. The workflow we build requires a human approval step for exception handling.
Dropshipping operations without access to real inventory data
Inventory anomaly detection and fulfillment automation require real-time data from your warehouse or supplier feed. Dropshipping operations without API access to supplier inventory cannot use these workflows.
Tell us your monthly order volume and the ticket categories that consume the most support time. We will reply within one business day with a rough scope and price range.