Intent recognition is a critical task for any natural language chatbot. Word embeddings were a big step forward but classifiers that rely solely on these still make basic mistakes. Giant Otter's deeper classifier and better intent training process can help your bot get beyond these hurdles
Cross-channel, cross-conversation persistence is the chatbot triple axel only Giant Otter can pull off. Other bots attempt to stick the landing, but fail — and when a bot doesn’t remember the past, it doesn’t know what to do in the moment.
Complex, clever handcrafting can’t help a chatbot converse like a truly helpful part of your team. The issue is bigger than sounding wooden or seeming clueless — it’s big-picture. And you don’t want conversations to feel more fluid, you want them to be more fluid.
A bot built with Giant Otter’s tools are rich with paths and able to adapt. By learning from actual conversations, Giant Otter-powered bots cover closer to 80% of needed flows, letting customers interact in the ways that feel right to them.
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