Analyzes All Customer Interactions

Our ListenLogic platform allows companies to gather customer intelligence across contact center voice recordings, social media, email, surveys, text and more. Analyze your unstructured data with precision and facilitate action by consolidating customer channels into one central view.

Drive Better Business Outcomes

Grow Sales

Increase sales conversion by identifying friction points along your buyer’s journey.

Gain a better understanding for sales conversations; discover what features and sales behaviors close new business.

Prevent Churn

Uncover the drivers for churn, dig deeper into the root causes of customer sentiment.

Stimulate personalized, intelligent engagement across all channels to prevent “at risk” customers from churning.

Ensure Compliance

Use AI and machine learning to ensure regulatory compliance and reduce the risk of fines.

Protect user privacy and monitor required compliance language, protected class interactions and potential fraud.

Enhance Customer Experience

Listen to 100% of your customer interactions and automatically score overall customer experience.

Address common questions and resolve user experience and sentiment issues to improve overall customer satisfaction.

Drive Contact Center Efficiency

Understand how customers interact with your contact center to reduce costs and improve efficiency.

Use natural language comprehension to identify bottlenecks, streamline processes, and enhance resource coaching.

Monitor Product Quality

Proactively monitor product-quality complaints from voice calls, social media, emails and chat.

Catch issues, source your supply chain, and address consumer concerns early before matters grow worse and go viral.

Introducing ListenLogic 3.0

Turn your unstructured enterprise data into actionable insights. ListenLogic aggregates, normalizes, and enriches your Omni-channel feedback data so you can focus on developing insights. We created a DIY filtering language and classification engine so you can analyze your data with precision.

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ListenLogic Natural Language Features

  • Advanced Topic Extraction

    Use natural language processing, machine learning or regex classifiers to identify topics across all data sources.

  • Classifier Library

    Jumpstart your analysis by using off-the-shelf industry models to identify spam and categorize complaints, compliments or requests.

  • Entity Recognition

    Identify entities and label by types such as person, organization, location, events, and products.

  • Data Connectors

    Securely connect data to a variety of data destinations, e.g. a data lake or visualization tool.

  • Sentiment Analysis

    Identify and track user sentiment. Distinguish positive reactions from those that are negative or neutral.

  • On Premise or Cloud

    Utilize ListenLogic as either an on-premise application solution or accessed via cloud API.

  • Industry Dashboards

    Address the most common use cases for sales, efficiency or compliance through pre-configured industry visualizations or create your own dashboards.

  • Self-Service or Managed

    Work directly on the platform or let us manage it for you.

ListenLogic Funnel
ListenLogic platform connects to a real-time feed of your customer feedback data, uncovers insights with a sophisticated data enrichment, filtering and classification engine, and provides data for analysis with the appropriate privacy protocol required by the data sources.

Case Studies

  • Increasing Contact Center Operating Efficiency

    Leading national insurance company wanted to reduce contact center operating costs while improving customer satisfaction by analyzing customer voice calls, email and CRM in one single view.

    With ListenLogic platform, the client analyzed policyholder voice calls and email interactions using voice-to-text and machine learning to capture policyholder and agent sentiment and topics of discussion.  The analysis identified friction between multiple systems connected to their CRM, ultimately saving the client over $2.5M annually.  The client modernized their CRM system to address these inefficiencies, realize the savings and boost customer NPS by 15%.

  • Detecting Product Quality Issues

    Global food manufacturer wanted to proactively monitor product quality issues by analyzing contact center voice calls, social media, email, chat and text in real-time.

    Using ListenLogic platform, the client integrated five unstructured datasets—including CRM and supply chain data—into real-time dashboards, using voice-to-text and machine learning to capture customer sentiment and topics of discussion.  This sensing system reduced detection times by 24 hours versus the client’s previous monitoring efforts. In one case, the system detected a supply-chain issue in the Midwest based on “freshness” complaints detected on customer service calls.  The plant was temporarily shut down to recalibrate a packaging sealer at the facility and then returned online within 6 hours.

Ready to Experience ListenLogic?

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