Eclipse AI

What is Eclipse AI?

Eclipse AI is a platform founded in 2021 by former CX management consultants Bill and Saad, along with technologist Munib. The platform leverages generative AI to help multi-location businesses unify their voice-of-customer data across different channels and locations, turning it into actionable insights to improve customer loyalty. Eclipse AI is specifically designed for franchise operations and businesses with multiple locations, aiming to simplify the analysis of customer data and enhance customer experiences at scale.

The platform provides features such as consolidating and analyzing omnichannel voice of customer data, ensuring brand consistency and retention, and offering real-time AI-generated actionable insights tailored to the specific context of each business. Through its capabilities, Eclipse AI helps businesses save time by automating manual analysis tasks and focusing on customer-centric strategies to boost retention and revenue.

Who created Eclipse AI?

Founder and Company Overview of Eclipse AI:

Eclipse AI was founded in 2021 by ex-CX management consultants Bill Bates, Saad Irfani, and Munib Tahir. The frustration of labor-intensive data analysis led them to create a platform leveraging generative AI to unify and analyze voice-of-customer data efficiently. The company's mission is to empower multi-location businesses by simplifying customer data analysis and providing actionable insights for improving customer loyalty. Today, Eclipse AI is utilized by renowned customer-centric companies globally, offering a competitive edge in their markets.

What is Eclipse AI used for?

• Centralise Voice-of-Customer Analysis
• Unlock Location-Specific Insights
• Make AI Powered Decisions
• Save Endless Hours of Analysis
• Real-time trend alerts
• Collaboration via Kanban board
• Integrations with online and app review sites
• Connect voice-of-customer data
• Create unlimited surveys
• Analyse data through dashboards
• Receive real-time trend alerts
• Collaboration through Kanban board and user assignments
• Integrations with online and app review sites, Zendesk, and other systems
• Priority customer support with quick responses
• Connect voice-of-customer data for analysis
• Consolidated dashboard for connecting reviews and surveys
• Analyzing data from reviews, surveys, calls, and CSV files
• AI-generated actionable insights from various data sources
• Centralizing voice-of-customer analysis for multi-location businesses
• Saving time on manual analysis and making AI-powered decisions
• Collaboration through Kanban board
• Integrations with online and app review sites, Zendesk, and more
• Priority customer support with fast responses
• AI-generated actionable insights and trend alerts
• Data analysis dashboards for reviews, calls, and surveys
• Export survey responses for further analysis
• Centralizing customer interactions for analysis
• Location-specific insights and AI-powered decision-making
• Collaboration with Kanban board for task management
• Integrations with various review sites and API access
• Connecting voice-of-customer data for analysis and insights
• Customer support with priority support and real-time insights
• Exporting survey responses for further analysis
• AI-generated actionable insights for customer retention
• Unified Customer Intelligence for multi-location businesses
• Hand-on consulting support for designing, developing, and delivering results
• Analyse aggregate data or trends over time
• Split dashboard view to compare results side by side
• Easily download the results into MS Excel for analysis
• Analyse sentiment and sentiment trends associated with free-text survey responses
• Analyse audio/video call transcripts and associated sentiment
• Analyse AI-generated call summaries
• Filter results by date, customer, agent, sentiment, plus other custom tags
• Identify critical phrases and trends with associated sentiments
• Identify key topics and trends with associated sentiments
• Export survey responses in MS Excel format

Who is Eclipse AI for?

• Chief Experience Officer
• Franchise Administrator
• Chief Customer Officer
• CX management consultants
• Franchise Administrators
• Chief Customer Officers

How to use Eclipse AI?

To effectively use Eclipse AI, follow these steps:

1. Data Analysis:

   • Analyze aggregate data or trends over time.
   • Use the split dashboard view to compare results side by side.
   • Download results into MS Excel for further analysis.

2. Sentiment Analysis:

   • Analyze sentiment and sentiment trends related to free-text survey responses.

3. Calls Dashboard:

   • Analyze audio/video call transcripts and associated sentiments.
   • Utilize AI-generated call summaries.
   • Filter results by date, customer, agent, sentiment, and custom tags.

4. CSV Data Dashboard:

   • Customize the dashboard with selected charts and filters.
   • Filter and segment data for detailed analysis.

5. Export Capabilities:

   • Export survey responses in MS Excel format.
   • Receive AI-generated real-time insights from all sources.

6. Real-time Alerts:

   • Get email alerts for trending topics or red flags needing attention.

7. Collaboration Features:

   • Utilize the Kanban board for task management.
   • Add up to 5 users with customizable permissions.

8. Integrations:

   • Integrate with various online and app review sites.
   • Access the full API for custom integrations with workflow tools.

9. Customer Support:

   • Enjoy priority support with quick responses to queries.

10. Custom Packages:

    • Design custom packages to suit your unique needs and pricing.

11. Services:

    • Access hands-on consulting support for designing, developing, and delivering results.

Make the most of Eclipse AI by leveraging its features for data analysis, sentiment insights, collaboration, and integrations to enhance customer experience and drive business growth.