AI Features · Beta

NLP & Intent Detection — Understand What Customers Actually Want

OptiKratos NLP & Intent Detection analyses customer messages to extract intent, entities, and key information — powering smarter routing, auto-replies, and CRM enrichment across every channel.

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What NLP & Intent Detection — Understand What Customers Actually Want includes

Every capability ships as part of your OptiKratos workspace — no add-ons.

Intent classification

Classify messages as purchase intent, support request, complaint, or custom intents.

Entity extraction

Extract product names, dates, locations, and values from unstructured text.

Language detection

Automatically detect and handle 30+ languages in the same inbox.

Intent-based routing

Route messages to different teams or flows based on detected intent.

CRM field enrichment

Populate CRM fields automatically from extracted entities in messages.

Custom intent training

Train custom intent models on your specific use cases without code.

Why OptiKratos

Benefits of NLP & Intent Detection — Understand What Customers Actually Want

Understand intent without reading every message
Route customers to the right team instantly
CRM enriched automatically from conversations
Multi-language from day one
Custom intent models for your specific business

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Related features on OptiKratos

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NLP & Intent Detection — Understand What Customers Actually Want — frequently asked questions

Everything you need to know about NLP & Intent Detection — Understand What Customers Actually Want on OptiKratos.

NLP (Natural Language Processing) Intent Detection analyses the meaning of customer messages to classify what the customer wants — a purchase, support, a complaint, or a specific action — so OptiKratos can route, respond, or enrich CRM data automatically.

Yes. Train custom intent classifiers on your specific terminology and use cases using a no-code labelling interface. For example, "pricing enquiry", "demo request", or "renewal risk".

Beta means NLP & Intent Detection is available to all customers but the custom intent training interface may change with notice. Core intent classification and entity extraction are stable.

The NLP engine identifies and extracts structured data from unstructured text — product names, company names, monetary values, dates, and custom entities. Extracted data is used to auto-populate CRM fields.

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Part of AI Features · SOC 2 · GDPR ready · Dedicated onboarding