Inbenta

Inbenta
Business Intelligence Software
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Overview

Inbenta's Natural Language Processing technology and years of research and development have led to the creation of Inbenta Enterprise Search for Customer Support, an intelligent, AI-powered self-service solution that understands the meaning of customer questions in over 25 languages, providing the correct answer more than 80% of the time. The search solution scrapes existing knowledge bases, FAQs, and help content, making it easy to deploy within weeks. With a team of expert linguists assigned to each client to help them understand the root cause of queries and make suggestions on updates to FAQs, Inbenta's products help businesses improve their overall online customer experience. The result: improved customer satisfaction, reduced support costs and increased revenue.

Four additional reasons to say yes:

1) Extensive Multilingual Knowledge
Inbenta NLP ensures the lines of communication between your customers and technology stays crystal clear, with 25 native, fully-supported languages and counting.

2) Integrates Beautifully
Everything works like a charm with your existing search, CRM, knowledge bases and documentation, plus Endeca, Facebook Messenger, Salesforce Desk and Service Cloud, Skype and Zendesk.

3) East To Get Started
We’ll deploy your future-proof solution faster and better than our competitors, with less workflow impact and more training and support.

4) Machine Learning
Our powerful algorithms teach your AI to gain insights from every customer interaction and conversation, so it can continually optimize the user experience.

Key Features

  • Global Support: Available in over 25 native languages
  • Autocomplete: Completes users' search requests as they type
  • Instant Analytics: Self-service rates and gap analysis in real-time
  • Easy Deployment: Be up and running within weeks

Specifications

Pricing

Pricing model:

Screenshots

  • Inbenta customers average a 90% self-service rate
  • AI-powered technology provides search results based on meaning, not keyword matches

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