Solving Email Overload with AI · Motion Creators (FREE)

Solving Email Overload with AI

Managing large volumes of customer emails in SaaS environments presents a unique AI challenge. Here’s how we approached it:

NLP for Categorization: Emails are classified into predefined groups like billing or technical support using transformer-based models (e.g., BERT).
Intent Detection: The system identifies the query's purpose (e.g., refunds or API setup) and matches it with relevant responses.
Semantic Search: Dynamic knowledge base integration retrieves the most accurate answers, using embeddings for precise matching.
Reinforcement Learning: Feedback from edge cases helps the system improve continuously by learning from real-world interactions.

It’s a great example of blending supervised learning, semantic search, and feedback loops to streamline workflows.

Would love to hear how others in the community are applying AI to similar problems—what tools or techniques have worked best for you?

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