We use cookies to collect and analyze information on site performance and usage, to provide social media features and to enhance and customize content and advertisements. Cookies policy
Effortlessly manage and process structured and unstructured data from multiple sources (Files - CSV, Excel, Intercom, Zendesk, Salesforce, APIs, etc.)
02
—
06
Text and sentiment analysis
Extract customer sentiment, intent, and key trends from customer interactions, turning raw data into actionable business intelligence, fully customized to your needs.
03
—
06
Workflow automation
Automate complex feedback processing and analysis workflows, allowing your team to focus on actionable insights instead of getting bogged down in data management.
04
—
06
Real-time alerts and reports
Stay ahead with live alerts and scheduled customizable reports. Get the insights you need when you need them, with real-time notifications tailored to your workflow and goals.
05
—
06
Multilingual support
Understand your audience, no matter the language. With multilingual analysis, you'll receive culturally tailored insights, ensuring your strategies resonate across global markets.
06
—
06
Personal AI assistant
Get your personal AI-powered sidekick ready to handle complex data analysis and provide insights for enhanced project management and customer experience.
Get a Tailored Demo of Unwink.ai
Wondering if customer intelligence is right for you? Let us show you what it can do.
For Customer Support Teams: Efficiency and Automation
Scope:
Unwink.AI handles QA automation for agents, channels, and languages, monitors performance, supports training, and creates reports for product and operations teams.
Impact:
For every 1,000 feedback entries handled monthly, the analysis time has been reduced from 23.3 work hours to an average of 1.67 hours.
01
—
04
For Customer Support Teams: Efficiency and Automation
Scope:
Unwink.AI handles QA automation for agents, channels, and languages, monitors performance, supports training, and creates reports for product and operations teams.
Impact:
For every 1,000 feedback entries handled monthly, the analysis time has been reduced from 23.3 work hours to an average of 1.67 hours.
02
—
04
For Product Development: Roadmap Excellence
Scope:
AI algorithms gather and process customer insights essential for feature prioritization and roadmap development, generate reports, and assist in data-driven adjustments to product strategy.
Impact:
Feedback analysis and processing time is significantly reduced from 20% of product managers' working time to minimal hours.
03
—
04
For Conversational AI Discovery: Acceleration and Precision
Scope:
Unwink AI structures data to pinpoint customer needs, prioritizes pain points for improved AI training and prompt creation, and supports data-driven enhancements.
Impact:
Analysis time for every 10,000 user requests reduced from 150+ to as low as 3 hours.
04
—
04
For Enterprise Operations: Seamless Feedback Loops
Scope:
Advanced AI algorithms process large-scale feedback for multiple business lines (both in-house and vendors), facilitate seamless feedback loops, integrate insights across departments, and provide insights for enhanced operational efficiency.
Impact:
Reduced feedback processing time and report generation for each stakeholder, boosting efficiency by 3200%.
Use cases
02
—
04
For Product Development: Roadmap Excellence
Scope:
AI algorithms gather and process customer insights essential for feature prioritization and roadmap development, generate reports, and assist in data-driven adjustments to product strategy.
Impact:
Feedback analysis and processing time is significantly reduced from 20% of product managers' working time to minimal hours.
Use cases
03
—
04
For Conversational AI Discovery: Acceleration and Precision
Scope:
Unwink AI structures data to pinpoint customer needs, prioritizes pain points for improved AI training and prompt creation, and supports data-driven enhancements.
Impact:
Analysis time for every 10,000 user requests reduced from 150+ to as low as 3 hours.
Use cases
04
—
04
For Enterprise Operations: Seamless Feedback Loops
Scope:
Advanced AI algorithms process large-scale feedback for multiple business lines (both in-house and vendors), facilitate seamless feedback loops, integrate insights across departments, and provide insights for enhanced operational efficiency.
Impact:
Reduced feedback processing time and report generation for each stakeholder, boosting efficiency by 3200%.
Your Data Is Securely Protected
Still have questions? Submit them, and we'll provide a detailed response.
Robust data protection mechanisms
GDPR compliant, ISO/27001, SOC 2 Type I (in progress)
No PII or privacy data is utilized
You have full control over your data
Ready to Transform Your Customer Experience?
Enjoy unlimited seats, collaborative tools, and actionable insights for strategic growth at scale.
Unwink AI uses advanced AI and machine learning algorithms to process structured and unstructured detailed customer data from multiple sources. By analyzing customer sentiment, behavior, and feedback, it can detect patterns, uncover upsell opportunities, and provide insights into churn prediction and conversion opportunities. This customer intelligence process allows businesses to optimize their strategies by delivering real-time, actionable insights, improving customer relationship management and support operations.
Which data sources does Unwink AI collect feedback from?
Unwink AI collects feedback from a variety of data sources, including customer support platforms like Zendesk, Salesforce, and Help Scout, survey tools such as Medallia and Typeform, productivity platforms like Excel and Zapier, and communication channels like Gmail and Intercom. The list continues to grow as Unwink.ai evolves dynamically.
What insights can Unwink AI generate?
Unwink AI provides valuable insights spanning sentiment analysis, performance monitoring, customer satisfaction trends, and more. By analyzing customer behavioral data, businesses can identify at-risk customers, enhance communication strategies, and uncover new conversion opportunities. Through AI-powered analysis and customizable reporting, Unwink AI reveals subtle customer pain points that might otherwise be missed by the product or customer success teams. This enables businesses to leverage more efficient support, product development, and customer intelligence strategies.
How does Customer Intelligence support strategic decision-making?
At Unwink AI, we take pride in showcasing our customers' customer intelligence examples and that revolutionized their businesses and yielded impressive results. From using customer behavioral data to better understand consumer preferences and identify new market trends to enhancing resource allocation, AI-powered customer data management cuts down on manual feedback analysis time and provides a more comprehensive view of customer preferences.
What upcoming features are included in Unwink AI’s roadmap?
Unwink AI’s planned features focus on enhancing customer communications and streamlining support center operations. Features like as voice conversation analysis, agent efficiency benchmarking, script adherence, and tone detection will ensure agents follow protocols and maintain professionalism. Automated support ticket generation and voice-based satisfaction scoring are also on the horizon, aiming to boost up customer satisfaction and further integrate data collaboration into everyday business processes.
What is Customer Intelligence?
Customer intelligence involves the systematic collection and analysis of customer data to gain deeper insights into their preferences, behaviors, and feedback. This process helps businesses understand their customers more granularly, uncovering behavioral and psychographic data. This way, customer intelligence software serves as a guide to data-driven, streamlined decision making process.
Unwink AI enhances this process using AI-powered customer analytics, turning raw consumer data into actionable insights, which help businesses refine their customer journeys, improve advertising effectiveness, and increase customer lifetime value.
Which businesses need Customer Intelligence and why?
Any business that interacts with customers — whether directly or indirectly — can benefit from robust customer intelligence. For example, SaaS companies use customer intelligence to track user engagement, understand which features are most valuable, and identify areas for improvement, boosting customer lifetime value analysis. Similarly, retail, e-commerce, and financial services companies rely on predictive customer analytics to streamline customer support and product development operations, drive data-driven marketing strategies, and improve customer segmentation for more personalized experiences.
What are the types of Customer Intelligence?
The main types of customer intelligence encompass various forms of data.offers an understanding of customer values, attitudes, and lifestyle preferences. Each of these data types is crucial for developing a comprehensive customer intelligence strategy.
What are the benefits of Customer Intelligence?
The benefits of a customer intelligence solution may vary depending on your business goals. However, some common advantages include streamlined customer support team operations, improved product decision-making, enhanced customer relationships, and ultimately increased customer lifetime value and profits. Reach out to the Unwink AI team to learn how customer intelligence can meet your business needs.
