We moved our customer service chatbot from a basic rule-based system to a machine learning model that actually understands context. Now it handles refund requests and order changes without escalating to a human. The tricky part was training it on real chat logs, but once we cleaned the data, accuracy jumped from 55% to 83%. We're expanding to predict inventory shortages next.
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