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intent managerStart with intent detection, end with business results

Intent Manager uses our industry-leading NLU engine to detect consumer intents, identify conversations ideal for an automated chatbot, and inform critical business decisions.

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Intent Manager transforms how you run your business

Add efficiency with an intent-driven automated chatbot.

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Optimize operations with intent-based performance data.

Make informed business decisions based on what consumers are saying.

Understand consumer intents and automate conversations

LivePerson’s proprietary NLU engine enables real-time intent detection, so you can determine the best conversation flows to add to your automated chatbot in Conversation Builder — our intuitive chatbot builder. We’ve used over a billion conversations to train machine-learning algorithms that power our AI. Our NLU outperforms many competitive benchmarks related to accuracy, precision, and recall across a variety of industries.

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Graph showing the level of sentiment for an automated chatbot or human agent conversation

Optimize contact center operations with intent-based performance data

Identify intents with poor consumer sentiment and take action. Route intents to the automated chatbot or agent best equipped to resolve them. Improve agent training and tune bot performance to improve intents with low sentiment.

Intent detection graph which groups messages by consumers to humans or an automated chatbot

Make informed business decisions

Intent Manager’s real-time intent detection helps brands discover emerging needs related to product defects, service disruptions, billing and payment issues, and more. Use this information to improve products and services, form new policies, and improve the quality and availability of important consumer information.

automated chatbot doesn't understand a question, and human annotating it in the dashboard

Easily map new, misunderstood phrases to existing intents

Turn human insights into actionable feedback to improve intent comprehension with AI Annotator. Together with Intent Manager, this makes labeling conversation data and providing performance feedback stress-free — helping agents be more productive and your automated chatbot a lot smarter.

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Get up and running quickly with intent detection starter packs for your industry

Retail

Intent Detection

LivePerson’s AI, machine-learning algorithms, and deep learning neural networks analyzed over a billion conversations to classify the top intents for a variety of industries. Proprietary large-scale, pre-trained language models (ELMo) were used to preconfigure these intents. This makes it possible for Intent Manager to automatically recognize up to 65% of intents with little-to-no configuration.

Top 10 intents for a retail automated chatbot

Financial Services

Intent Detection

LivePerson’s AI, machine-learning algorithms, and deep learning neural networks analyzed over a billion conversations to classify the top intents for a variety of industries. Proprietary large-scale, pre-trained language models (ELMo) were used to preconfigure these intents. This makes it possible for Intent Manager to automatically recognize up to 65% of intents with little-to-no configuration.

Top 10 intents for a financial services automated chatbot

Insurance

Intent Detection

LivePerson’s AI, machine-learning algorithms, and deep learning neural networks analyzed over a billion conversations to classify the top intents for a variety of industries. Proprietary large-scale, pre-trained language models (ELMo) were used to preconfigure these intents. This makes it possible for Intent Manager to automatically recognize up to 65% of intents with little-to-no configuration.

Top 10 intents for an insurance automated chatbot

Telecom

Intent Detection

LivePerson’s AI, machine-learning algorithms, and deep learning neural networks analyzed over a billion conversations to classify the top intents for a variety of industries. Proprietary large-scale, pre-trained language models (ELMo) were used to preconfigure these intents. This makes it possible for Intent Manager to automatically recognize up to 65% of intents with little-to-no configuration.

Top 10 intents for a telecom automated chatbot

Airline / Travel

Intent Detection

LivePerson’s AI, machine-learning algorithms, and deep learning neural networks analyzed over a billion conversations to classify the top intents for a variety of industries. Proprietary large-scale, pre-trained language models (ELMo) were used to preconfigure these intents. This makes it possible for Intent Manager to automatically recognize up to 65% of intents with little-to-no configuration.

Top 10 intents for a travel automated chatbot

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