InMoment Further Extends AI-Powered Technologies to Advance Experience Improvement

Announces InMoment AI™ to advance its mission to improve experiences in the moments that matter

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SALT LAKE CITY–(BUSINESS WIRE)–InMoment®, the leading provider of Experience Improvement (XI)™ solutions, announced today InMoment AI, a new layer of intelligence in the XI Platform to enable brands to grow through a better understanding of teams, current customers, and future customers alike.

Recent research has shown that improving experiences is top of the CEO priority list, but the emotive nature of experiences has meant that scaling these initiatives has proven difficult for even the most customer-centric brands. To be successful, brands need to find a dynamic balance between human and artificial intelligence to help organizations scale and automate how they identify, understand, and act on the highest impact experiences.

“The further investment in InMoment AI means we can now offer our clients the unique capability to identify transformative insights from previously inaccessible data to make unprecedented impact,” said Andrew Joiner, CEO of InMoment “Whether it’s using conversational surveys to solicit richer feedback, using machine learning and natural language processing on new unstructured datasets to surface growth opportunities, or using AI algorithms to predict and preemptively act on emotion or intention—InMoment AI has a solution to help brands improve experiences at every step in the customer journey.”

The recent acquisition of Lexalytics, the leader and pioneer in structured and unstructured data analytics, brings two decades of expertise in NLP and machine learning to InMoment’s XI Platform, and the combination captured through InMoment AI accelerates companies’ ability to get to high-impact, informed actions quickly.

InMoment AI enables organizations to benefit from:

  • Smarter Data – Industry-intelligent data management and analytics for a complete view of the customer and employee journey
  • Intelligent Conversations – Understand the sentiment and intent behind feedback with humans stepping in as needed for experience intervention
  • Behavior Prediction – Predict outcomes and experience scores based on business metrics and unstructured data
  • Automated Action – Automate and recommend the next-best-action for customer segments based on past experiences and current data

“As the world moves beyond structured surveys, superior machine learning and NLP/NLU are key to unlocking the insights available in all of a company’s data, both structured and unstructured,” said Mehul Nagrani, General Manager, AI Product & Technology at InMoment. “InMoment AI is the key to understanding omnichannel experience journeys and solving the issue of a siloed and fragmented view of the customer, employee, and market.”

Availability

InMoment AI is available today both in the cloud and on premise. For more information, visit www.inmoment.com/artificial-intelligence.

About InMoment

​​Improving experiences is why InMoment exists. Our mission is to help our clients improve experiences at the intersection of value—where customer, employee, and business needs come together. The heart of what we do is connect our clients with what matters most through a unique combination of data, technology, and human expertise. With our hyper-modern technology platform, decades of domain authority, and global teams of experts, we uniquely deliver a focus on Experience Improvement (XI) to help our clients own the moments that matter. Take a moment and learn more at inmoment.com.

Contacts

Alix Peterson, InMoment, apeterson@inmoment.com

Author Information

As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.

She brings more than 20 years of experience in technology research and marketing; prior to her current role, she was a Research Analyst at Omdia, authoring market and ecosystem reports on Artificial Intelligence, Robotics, and User Interface technologies. Sherril was previously Manager of Market Research at Intrado Life and Safety, providing competitive analysis and intelligence, business development support, and analyst relations.

Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.

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