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Retail · E-Commerce AI Workflow Automation

45% Inventory Cost Reduction,
132% Revenue Growth — 12 Months

A fashion e-commerce platform (monthly GMV ₩1.2B) deployed AI inventory management, customer service automation, and personalized marketing — results that reshaped the business within twelve months.

132%
Revenue Growth
45%
Inventory Cost Reduction
68%
CS Time Saved
12 mo
Project Duration

The Challenge

A fashion e-commerce platform processing 8,000 orders per month was managing 150 brands and 5,000 SKUs entirely by hand. A 12% inventory discrepancy rate, out-of-stock events 2–3 times per week, and a 4–6 hour average customer response time were all holding growth back.

What We Built

INTESOL delivered three AI modules in phased rollout. ① AI Demand Forecasting Engine — automated reorder triggers incorporating seasonality and trend signals. ② AI Customer Service Chatbot — handles 72% of repeat inquiries automatically, 24/7. ③ Personalized Marketing Automation — email open rates improved from 8% to 28%, repurchase rate from 18% to 34%.

Results

After 12 months, monthly revenue grew from ₩1.2B to ₩2.78B (+132%). Annual inventory management costs dropped from ₩800M to ₩440M (−45%). Headcount grew from 35 to 42 (+20%), but revenue generated per employee rose 57%. Estimated annual net profit increase: ₩3.79B.

Technologies Used

AI Demand Forecasting CS Chatbot Personalization Engine Claude API
"AI automation maximized operational efficiency and, beyond that, embedded a data-driven decision culture that made the entire organization smarter."
— CEO, K-Fashion Mall
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