How AI Automation Saved a 7-Figure E-Commerce Brand 40 Hours a Week
When the founder of a 7-figure e-commerce brand came to us, their team was drowning. Customer support tickets were piling up, inventory alerts were missed, and order routing was done manually across three platforms. They were spending over 40 hours a week on work that should have been automated.
The Problem
Three disconnected systems — Shopify, Gorgias, and a custom WMS — with no automation layer between them. Every order exception required manual intervention. Every low-stock alert was a Slack message that might get missed.
What We Built
A three-part AI pipeline: (1) an intelligent triage system that classified and routed support tickets automatically, (2) a predictive inventory monitor that sent alerts before stockouts happened, and (3) an order exception handler that resolved 80% of routing issues without human touch. Total build time: 3 weeks.
The Results
42 hours saved per week. Support response time dropped from 6 hours to 22 minutes. Zero stockouts in the first 90 days. The team now focuses on growth, not firefighting.
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