Sprinklr Gen AI Insights Features
Updated
Sprinklr AI+ is an advanced AI-powered suite integrated into Sprinklr's Unified-CXM platform, designed to transform unstructured customer experience (CX) data into actionable insights. The following table gives details on multiple Gen AI features of Sprinklr Insights.
Feature Name | Feature Description | Available in AI+ Studio (Y/N) | Can feature be turned on or off? | Is this feature access controlled? |
Social Listening | ||||
Analyzes and synthesizes large volumes of social media or conversational data using advanced NLP and clustering algorithms. Automatically groups similar messages into clusters and provides concise sum Conversation Insights maries, helping businesses quickly detect emerging trends, monitor brand sentiment, and track competitive activity at scale, all with minimal manual effort. | No | No | Yes | |
Crisis Management is an AI-powered solution that monitors, detects, and analyzes crisis events for a brand in real time. It captures crisis conversations, categorizes them, and provides summaries and automated alerts (including anomaly and summary cards). With a minimal setup process and comprehensive detection, it ensures timely insight, streamlined crisis handling, and protection of brand reputation. | No | Yes | Yes | |
Insights Copilot is an advanced AI feature that parses and summarizes high volumes of social media data—quickly delivering actionable insights to users. It supports natural language queries, provides traceable sources for each insight, and is designed for ease of use and rapid time-to-insights. | No | Yes | Yes | |
An AI-embedded chatbot that provides responsive, conversational analytics on dashboard data. It offers both quantitative and qualitative insights, identifies the root causes of metric shifts, provides trend tracking, and suggests drill-down prompts to encourage user exploration. Future enhancements include the ability to add AI-generated widgets directly to the dashboard for deeper data storytelling. | No | Yes | Yes | |
Sprinklr AI+ is designed to enhance efficiency by offering summarization tools that extract key insights from various contexts. It includes features like the Article Paraphraser & Message Summary, which condenses lengthy messages for quick comprehension, and the Drilldown Summarizer, which provides concise summaries of top conversations linked to any data point. Additionally, the Widget Summarizer allows users to generate and pin key insights directly from widgets, minimizing the need for extensive data exploration and speeding up access to important information. | No | Yes | No | |
Query Creation and Classification | Sprinklr AI+ Query Creation & Classification simplifies the process of developing themes, topics, and keyword queries to efficiently monitor brands, campaigns, or industry trends. By utilizing AI-generated suggestions, it enhances data coverage, reduces manual effort, and boosts accuracy. Users can create AI-generated topic queries, configure multiple themes, and generate keyword variations, hashtags, and translations with ease, selecting the best options from AI suggestions to optimize their monitoring strategies. | Yes | Yes | No |
Competitive Insights and Benchmarking | ||||
Consumer Equity Affairs Level I & II Dimensions | Uses AI-generated categorization to identify and label the primary call-drivers in fan messages (across both your brand and competitor content) according to predefined equity issue categories. This helps uncover the predominant themes or complaints fans are discussing, so you can more effectively address key concerns and refine your brand strategy. | No | No | No |
Streamlines the process of creating benchmarking themes and keyword queries with AI-generated suggestions. Sprinklr AI+ helps users maximize data coverage, reduce manual effort, and improve accuracy by automatically proposing theme names, Boolean keyword groups, and keyword variations (including hashtags, phrases, and translations). Users can then refine and select the suggestions that best suit their needs, ensuring comprehensive and precise monitoring of brands, campaigns, and industry trends. | No | Yes | Yes | |
Content Themes Dimensions uses generative AI to automatically categorize your outbound content—and your competitors’—by relevant emotional themes. It provides immediate performance insights on each theme, helping you quickly identify top-performing strategies, benchmark against the industry, and optimize your brand’s messaging for stronger engagement. | No | No | No | |
Customer Journey Stages Dimensions | Uses generative AI to automatically categorize outbound content, including competitor posts, based on predefined customer journey stages. Automatically labels and analyzes content performance to save time and provide insights into which messaging resonates most at each stage, helping marketers benchmark their strategies and optimize engagement. | No | No | No |
Key Objectives Dimensions | Automatically labels outbound brand and competitor content with AI-generated “key objectives” categories based on text content, so you can quickly gauge the emotional appeal and stage of each piece of content. This categorization, paired with performance analytics, helps you identify top-performing posts, spot emerging trends, and ensure consistent, informed outbound messaging. | No | No | No |
Content Tones Dimensions | Uses AI-generated categorization of outbound content—both your brand’s and competitors’—into predefined emotional tones. By automatically labeling messages and presenting performance metrics associated with each tone, you can efficiently identify which content resonates best with your audience and benchmark against industry best practices. | No | No | No |
Care and Non Care Dimension | The Care and Non-Care Dimension uses AI-generated categorization to label each inbound fan message as either a customer care message or a non-customer care message. By detecting the broad theme or call-driver in the message, teams can more quickly identify issues that need attention, escalate them to the right internal groups, and gain a clearer picture of improvement areas, competitive benchmarks, and best practices. | No | No | No |
Benchmarking Assistant | An AI-embedded chatbot that provides automated insights and recommendations for actionability for benchmarking data. Currently, we have the support for pre defined prompts for each use case. Future enhancements include open chat. | |||
Customer Feedback Management | ||||
Survey Builder | AI Builder is a conversational survey builder that simplifies survey creation and management. Users provide high-level objectives and goals, and AI automatically generates comprehensive surveys without navigating multiple clicks or screens. AI Builder supports all question types, including multiple choice, CSAT, rank order, and open-ended text, streamlining the entire survey process in one interactive conversation. | No | No | Yes |
Survey Quality | Provides a detailed evaluation of survey effectiveness, including brand consistency, clarity, and user engagement. Identifies potential issues—such as unclear language, overly long questions, and lack of brand compliance—and recommends improvements to create user-friendly surveys that yield higher-quality data. | No | No | No |
Conversational Survey | Transforms traditional surveys into interactive dialogues for a more engaging user experience. Questions adapt to previous responses, allowing follow-up prompts that gather deeper insights. This conversational flow yields richer feedback and more personalized interactions than static surveys. | No | No | No |
Text Analytics | Text Analytics helps you quantify and understand open-ended text by extracting key phrases, assigning them to a hierarchical set of categories (taxonomy), and analyzing sentiment for each category. This structured approach streamlines comparative analysis, surfaces deeper insights about customer emotions, and simplifies identifying trends or areas of concern. Because the taxonomy is generated automatically from sample data, ensuring high-quality source text is critical for best accuracy and results. | No | No | No |
Survey Insights | Transforms survey data into actionable insights by automatically analyzing MCQs, numeric, CSAT, text, and social feedback. It uses advanced analytical techniques—such as correlation, time series, and root cause analysis—to uncover hidden trends, and text thematic analysis to highlight key themes and sentiments. The result is faster, deeper understanding of survey results with minimal manual effort. | No | No | No |
Product Insights | ||||
Uses generative AI to highlight critical insights from large volumes of textual feedback and product data. Insights Assistant identifies anomalies, surfaces trends, and performs multilevel root cause analysis. It ranks the highest-impact issues, ties them back to specific products or brands, and provides timely, actionable recommendations for improvement. | No | Yes | No | |