Sprinklr - Detailed Review
News Tools
Sprinklr - Product Overview
Sprinklr is a comprehensive platform that leverages AI and generative AI to provide sophisticated tools for marketing, customer experience, and social media management. Here’s a brief overview of its primary function, target audience, and key features:
Primary Function
Sprinklr’s primary function is to help businesses manage and analyze large volumes of data from various digital channels, including social media, websites, news sites, and more. This data is used to generate insights that can be applied to improve marketing strategies, customer service, and overall brand performance.Target Audience
The target audience for Sprinklr includes large and medium-sized businesses, particularly those in the marketing, customer service, and social media management sectors. It is trusted by some of the world’s biggest brands, indicating its suitability for enterprises looking to enhance their customer experiences and marketing efforts.Key Features
AI-Powered Insights
Sprinklr AI integrates with generative AI technology, such as that from OpenAI, to analyze unstructured customer experience data from over 30 digital channels. This integration helps in creating content, improving feedback and assistance, and identifying key insights.Listening and Social Media Management
Sprinklr allows users to track relevant conversations across multiple data sources, including social media, websites, and media sources. It helps in creating Listening Themes automatically, summarizing messages, and generating keyword suggestions for Keyword Lists.Audience Insights
The platform provides AI-powered audience insights, analyzing billions of real-time digital signals to help businesses understand their customers’ interests and affinities. This enables the creation of custom audience segments and targeted social strategies.Campaign Orchestration
Sprinklr facilitates end-to-end campaign orchestration, from listening to customer conversations to delivering hyper-personalized content, amplifying reach through paid and organic tactics, and analyzing performance on a unified dashboard.Crisis Management and Customer Support
The platform offers tools for timely crisis management and delivers timely customer support on preferred channels, fostering trust and loyalty. It also includes features like the Insights Copilot, which provides concise and insightful responses to user queries, and the Dashboard Copilot, which enhances data analysis by detecting anomalies and highlighting key trends.Benchmarking and Competitor Analysis
Sprinklr’s Benchmarking Assistant helps in formulating marketing strategies by analyzing key performance metrics and comparing them to competitors. This feature aids in understanding market standing and identifying areas for improvement. Overall, Sprinklr is a powerful tool for businesses looking to leverage AI-driven insights to enhance their marketing, customer service, and social media management capabilities. Sprinklr - User Interface and Experience
The User Interface of Sprinklr
Particularly in its AI-driven social media management and listening tools, the user interface of Sprinklr is characterized by several key features that impact its ease of use and overall user experience.
Ease of Use
While Sprinklr is known for its advanced features, it does come with a learning curve, especially for users without technical expertise. The platform is highly customizable, which can be both a benefit and a challenge. Users have noted that the initial setup and learning process can be steep, but once mastered, the tool becomes very powerful.
However, recent updates have aimed to simplify the onboarding process. For instance, Sprinklr’s Advanced Plan offers quick and easy onboarding, allowing users to complete setup within minutes and go live instantly.
User Interface
Sprinklr’s interface is designed to be user-friendly, with a focus on simplicity and personalization. The platform features an intuitive navigation system that allows social media teams to manage multiple tasks efficiently. This includes managing content, engagement, and governance across major social channels like Facebook, Instagram, TikTok, LinkedIn, Twitter, and YouTube.
Engagement Dashboard
The engagement dashboard is a central feature where users can view mentions, messages, and comments from various platforms. This dashboard enables users to analyze sentiments, identify messages worth engaging with, and set up automated message routing, making it easier to manage interactions from one place.
AI-Powered Features
Sprinklr leverages AI to enhance the user experience. For example, the platform uses AI for social listening, transforming unstructured data into actionable insights. It also includes AI-generated responses, sentiment analysis, and automated comment moderation, which help in maintaining a positive and safe online presence.
Customization and Reporting
The platform offers extensive customization options for reporting and analytics. Users can generate detailed reports that include KPI data such as reach, impressions, engagement, and video views, which can be combined and sorted by any date range. This level of customization helps in providing comprehensive insights that are easy to interpret.
Conclusion
In summary, while Sprinklr’s user interface is generally user-friendly and intuitive, it may require some time to get accustomed to, especially for those new to advanced social media management tools. However, the platform’s efforts to streamline onboarding and its powerful AI-driven features make it a valuable tool for managing social media presence effectively.
Sprinklr - Key Features and Functionality
Sprinklr’s AI-Driven Products
Sprinklr’s AI-driven products, particularly within the News Tools and customer experience categories, offer a range of features that leverage generative AI to enhance productivity, insights, and customer interactions. Here are the main features and how they work:
Unified AI Platform – Sprinklr AI
Sprinklr AI integrates various generative AI technologies into a single platform, making it easier for customer-facing teams to use AI without needing to learn new workflows or switch between multiple screens. This platform:
- Enhances Productivity: Boosts agent productivity by optimizing responses for tone, relevance, and accuracy. It automates case summarization and disposition, allowing agents to focus more on customer interactions.
- Improves Self-Service: Deploys and scales generative AI-powered conversational bots to improve self-serve rates with contextual and relevant responses. It automates the discovery of top contact drivers, intent creation, and bot testing.
Automation and Quality Management
- Automated Quality Monitoring: Trains agents more effectively by automating quality scoring and sentiment analysis of conversations. This ensures consistent interaction quality and provides insights along with root causes and recommended actions.
- Call Notes Automation: Automates the process of taking notes during customer conversations, allowing agents to focus entirely on the customer. It also provides a quick overview of conversations for other agents or supervisors without needing to read entire transcripts.
Marketing and Insights
- Speeds Up Campaign Tasks: Generates campaign briefs, descriptions, hashtags, and channel-specific posts quickly. It also creates listening queries and keyword variations to capture unstructured conversations, providing key insights with actionable recommendations.
- Content Generation: Generates content across various channels, ensures faster replies with response simplification and modification, and simplifies content reviews with AI-powered grammar and tone checks.
- Topic and Keyword Creation: Helps customers find the right information more quickly using generative AI for topic and keyword creation. It also provides at-a-glance overviews of detailed articles and content through features like article paraphrasing and message summarization.
Social Listening and Data Integration
- Extensive Data Coverage: Integrates with over 30 social and digital platforms, including 400,000 media sources and more than 1 billion websites. This ensures a holistic view of customer feedback and online presence.
- Advanced AI Analysis: Uses generative AI for sentiment analysis, emotion detection, entity identification, and text classification, yielding highly accurate insights from raw data.
- Trend and Crisis Monitoring: Provides real-time data capture and analysis to respond swiftly to emerging social media trends and potential crises. It includes features like Smart Themes, Listening Topics, and Smart Alerts to proactively identify anomalies and safeguard brand reputation.
Custom AI Models – Sprinklr AI Studio
- Text Classification Models: Allows teams to create hyper-specific text classification models from scratch to classify listening mentions more effectively. This helps in removing irrelevant messages from agent workstreams and ensures accurate cataloging of insights across the platform.
- Model Validation and Deployment: Enables the validation and approval of AI models through dedicated workflows, ensuring model performance and accuracy over time. Models can be deployed flexibly across multiple data sources and languages.
Data Security and Privacy
- Enterprise-Grade Security: Only data actively entered into Sprinklr AI is shared with third-party vendors. Data can be anonymized by masking dates, times, email IDs, URLs, IP addresses, and other sensitive information. Sprinklr also uses regex masking capabilities to accommodate customer-specific requirements.
These features collectively enhance customer service delivery, improve agent productivity, and provide deeper insights into customer interactions, all while ensuring robust data security and privacy measures.
Sprinklr - Performance and Accuracy
Accuracy
Sprinklr’s Sentiment Analysis model boasts an accuracy level of over 80%, achieved through the use of large volumes of pre-labeled datasets and advanced machine learning techniques. The model is trained on more than a million messages across 20 industry verticals, ensuring it can accurately categorize sentiments as positive, neutral, or negative. This accuracy extends across 100 languages, with different algorithms deployed for different languages.
Performance
Sprinklr’s AI models process vast amounts of unstructured data from over 30 digital channels, including social media, messaging platforms, news sites, and more. This capability allows for real-time insights and actionable recommendations, which is crucial for customer-facing teams. The platform’s ability to handle high-ingestion use cases is enhanced by its integration with technologies like Qdrant, which provides superior write performance, low latency, and high throughput for heavy query loads. For instance, Qdrant delivers a P99 latency of 20ms for searches on 1 million vectors, making it ideal for real-time applications.
Industry-Specific Models
Sprinklr offers industry-specific AI models that are fine-tuned for various verticals, ensuring that the accuracy and insights are relevant to specific business needs. This customization helps in minimizing setup time and accelerating the time-to-value for enterprises.
Real-Time Insights and Automation
The platform provides real-time insights into customer sentiment, product feature performance, and campaign effectiveness. It also automates workflows, such as content approval paths, engagement across social channels, and crisis management, which helps in maintaining brand compliance and responding swiftly to customer inquiries.
Feedback and Continuous Improvement
Sprinklr’s AI models are continuously learning and improving through implicit and explicit feedback loops. Users can provide feedback on the sentiment of messages, which is captured and used for further model tuning, ensuring the models remain accurate and relevant over time.
Limitations and Areas for Improvement
While Sprinklr’s AI models are highly accurate, there are some potential limitations:
- Contextual Understanding: While the models are highly context-aware, there can still be cases of sentiment miscalibration, especially in foreign languages or with specific industry jargon. Users are advised to register support tickets to resolve such issues.
- Rule Engine vs. Machine Learning: It is recommended to avoid using rule engines for sentiment tuning, as they may not account for the context of the message, leading to incorrect sentiment classification.
- Continuous Training: The models require continuous training and feedback to maintain their accuracy, which can be resource-intensive.
Overall, Sprinklr’s AI-driven products demonstrate high performance and accuracy, making them a valuable tool for enterprises seeking to enhance their customer experience management and sentiment analysis capabilities. However, it is important to be aware of the potential limitations and ensure continuous feedback and model tuning to maintain optimal performance.
Sprinklr - Pricing and Plans
Pricing Plans
Advanced (Self-Serve) Plan
- This plan is priced at $299 per user per month, billed annually. There is no monthly payment option, so you must commit to a full year upfront, which amounts to $3,588 per year for one user.
- Additional users are charged at the same rate of $299 per month, with no discounts for multiple seats. For example, a team of three users would cost $8,964 per year.
Enterprise Plan
- The Enterprise plan does not have a publicly listed price. Instead, it is customized based on the customer’s specific needs. You need to request a demo to get a quote for this plan.
Features
Advanced (Self-Serve) Plan
- Publishing: Includes omnichannel publishing across multiple social platforms and a multi-timezone calendar.
- Listening: Offers social listening to analyze trends and topics, along with brand-specific social listening reports and audience insights.
- Engagement: Features an omnichannel inbox, AI message sorting, canned responses, and task automation.
- Reporting: Includes multiple reporting templates for organic and paid platforms.
- Additional Features: AI content generation, digital asset manager, and multi-level approval workflows.
Enterprise Plan
- Publishing: Advanced publishing capabilities.
- Listening: In-depth social listening with AI-enhanced alerts.
- Engagement: Enhanced engagement tools, including social advertising.
- Reporting: Comprehensive reporting and analytics.
- Additional Capabilities: Unified Customer Experience Management (Unified-CXM), global compliance frameworks, and advanced governance rules.
Free Options
- Sprinklr offers a 30-day free trial for its Self-Serve plan, allowing you to test the features without a financial commitment. No credit card is required for the trial.
Additional Costs and Considerations
- There are no setup fees mentioned for the Self-Serve plan, but optional setup fees may apply for other services.
- For contact center services, additional costs from third-party carriers like Amazon Connect or Twilio may be required.
In summary, Sprinklr’s pricing is structured around a Self-Serve plan with a clear cost and an Enterprise plan that requires a custom quote. The platform offers a range of features, but the cost can be significant, especially for larger teams.
Sprinklr - Integration and Compatibility
Integration with Bluesky
Sprinklr has recently announced a new integration with Bluesky, a decentralized social network that has grown from 3 million to 30 million users in just one year. This integration allows Sprinklr customers to create, manage, and publish content directly to Bluesky through the Sprinklr platform. It also enables the inclusion of Bluesky data in social listening dashboards and the tracking of broader analytics to inform business strategies.AI-Driven Capabilities and Qdrant Integration
Sprinklr leverages AI-driven features through its partnership with Qdrant, which provides advanced vector search capabilities. This integration enhances Sprinklr’s customer-facing tools such as FAQ bots, transactional bots, conversational services, and product recommendation engines. The AI capabilities help in analyzing and optimizing community content, refining knowledge bases, and ensuring efficient and relevant responses to customer inquiries.Cross-Platform Compatibility
Sprinklr supports integration across various social media platforms, allowing enterprise customers to manage their social media presence comprehensively. The platform includes features for content publishing, social listening, and analytics, which can be applied across both traditional and decentralized social networks. This ensures a streamlined workflow and the ability to track performance across multiple platforms.Browser Compatibility
In terms of browser compatibility, Sprinklr supports evergreen browsers, which are automatically upgraded to the latest versions. This includes browsers like Google Chrome, where Sprinklr provides support for the latest version and the two previous major release versions. For non-evergreen browsers like Microsoft Edge and Safari, support is provided based on the major version updates that occur during OS updates.Device Compatibility
Sprinklr’s platform is designed to be accessible on both desktop and mobile devices, ensuring that customers can manage their customer experience strategies from various devices. The platform’s architecture allows for seamless integration and operation across different devices, facilitating real-time analytics and customer engagement.Conclusion
In summary, Sprinklr integrates with various tools and platforms to offer a comprehensive suite of services for customer experience management. Its compatibility across different browsers, devices, and social media platforms makes it a versatile solution for enterprise brands looking to engage with their audiences effectively. Sprinklr - Customer Support and Resources
Sprinklr Customer Support Overview
Sprinklr offers a comprehensive suite of customer support options and additional resources, particularly through its AI-driven products, to enhance customer service and agent productivity.Omnichannel Support
Sprinklr Service integrates over 30 digital and traditional channels, including voice, live chat, social media, phone, and email. This ensures customers receive consistent and efficient service regardless of the channel they use to contact the company.AI-Powered Knowledge Base
Sprinklr’s AI-powered knowledge base software helps organize and make company information easily accessible and searchable. This includes FAQs, how-to guides, troubleshooting steps, product information, and policies and procedures. The advanced AI algorithms enable quick access to the right answers, boosting productivity and reducing downtime.Automated and Assisted Support
The platform uses AI to automate various tasks such as answering FAQs, routing tickets, verifying customer details, and offering self-service solutions through chatbots and voice bots. This frees agents to focus on more complex and high-stakes issues that require empathy and human interaction.Agent Assistance
Sprinklr Service provides agents with knowledge assistance, response assistance, next best action recommendations, and post-call work automation. The generative-AI powered conversational AI powers chatbots and virtual agents for 24/7 support, ensuring a personal touch and tone moderation. Smart routing ensures inquiries are directed to the best-suited agent for higher first contact resolutions.Unified Agent Desktop
The platform offers a unified console with guided workflows, a 360-degree customer view, and real-time assistance. This allows agents to continue conversations meaningfully even when customers switch channels, maintaining a seamless customer experience.Analytics and Insights
Sprinklr Service generates actionable insights through AI-driven reports and analytics. It analyzes 100% of interactions to improve service quality and agent performance. Automated speech and text analytics help optimize operations and reduce overall handle times.Compliance and Security
The platform emphasizes robust encryption, regular vulnerability assessments, and strict data governance practices. It ensures compliance with frameworks like GDPR or HIPAA to protect customer data and includes monitoring mechanisms to detect and respond to anomalies in real-time.Scalability and Cost Efficiency
Sprinklr Service helps reduce contact center costs by up to 33% through AI, automation, and channel unification. It offers cloud-hosting and out-of-the-box AI models to scale operations with minimal downtime or disruption.Customizable and Configurable Reporting
The platform provides customizable and scalable reporting on user-friendly dashboards, allowing for better tracking and analysis of customer service operations. Out-of-the-box integrations with external systems streamline workflows and enhance efficiency.Conclusion
By leveraging these features, Sprinklr aims to deliver seamless, omnichannel customer interactions, improve customer satisfaction, and enhance agent productivity. Sprinklr - Pros and Cons
Advantages of Sprinklr
Sprinklr offers several significant advantages, particularly in the areas of social media management, analytics, and AI-driven insights.Social Listening and Monitoring
Sprinklr’s social listening feature is highly praised for its ability to create listening searches across various social media networks and the web. This allows users to monitor and analyze insights using AI, making it a vital source of information for multi-source listening.Analytics and Reporting
The platform is commended for its comprehensive reporting and analytics features. It provides AI-powered insights, standard reports, and extensive customization options. Users can easily track KPIs such as reach, impressions, engagement, and video views, and sort this data by any date or range.AI-Driven Product Insights
Sprinklr’s Product Insights feature uses AI to categorize and consolidate customer feedback from social media, review sites, and surveys. This helps brands optimize products, drive revenue, reduce costs, and lower risk based on real-time, actionable research.Campaign Management and Attribution
The platform simplifies campaign attribution and ROI analysis, making it easier for marketing teams to manage multi-channel marketing campaigns. It also streamlines workflows and enhances customer engagement.Customer Service and Support
Despite some mixed reviews, many users appreciate Sprinklr’s customer service, noting that the support team is quick to respond and helpful in resolving issues. The platform also consolidates real-time comments, messages, and posts from various social media channels into one dashboard.AI-Powered Enhancements
Sprinklr has introduced numerous AI-powered features, including generative AI integrations that automate report analysis, create smarter contact centers, and enhance conversational analytics. These features help eliminate manual analysis and provide actionable recommendations.Disadvantages of Sprinklr
While Sprinklr offers many benefits, there are also some notable drawbacks.High Cost
One of the significant cons is the high cost of the platform. Many users find it expensive, especially for large brands or smaller teams that need to run multiple listening queries.Complex User Interface
The user interface of Sprinklr can be quite complicated, making it challenging for new users to navigate and use the software effectively. This complexity can lead to a steep learning curve.Limited Content Formats
Sprinklr does not support certain content formats, such as Instagram story videos and polls, which can limit the type of content that can be shared through the platform.Inconsistent Analytics
There have been reports of delayed updates on post tags and discrepancies between the figures in the reports and the actual channel analytics. This inconsistency can make it unreliable for media planners.Customer Support Issues
Some users have reported that the customer support team is not always helpful, particularly when resolving complex issues or providing education on the software’s features. This can be frustrating for users needing timely support.Technical Issues
Users have experienced frequent issues with lag time on post tags being updated and analytics dashboards not working properly. These technical issues can hinder the overall efficiency of the platform. By considering these pros and cons, potential users can make a more informed decision about whether Sprinklr aligns with their needs and budget. Sprinklr - Comparison with Competitors
When Comparing Sprinklr’s AI-Driven Products
When comparing Sprinklr’s AI-driven products, particularly in the customer service and social listening categories, with its competitors, several unique features and distinctions become apparent.
AI Capabilities and Integration
Sprinklr stands out for its extensive integration of AI across its platform. For instance, its latest release includes 70 new features for its CCaaS platform, Sprinklr Service, with a strong focus on generative AI (GenAI) and Digital Twins. These AI twins automate customer interactions and assist employees by handling multi-intent customer queries and storing user inputs for reference during conversations.
Knowledge Management and Workforce Management
Sprinklr’s Knowledge Base module has been enhanced with a Gap Analysis feature, which helps identify missing, outdated, or conflicting articles, and even allows users to transform community post threads into articles using GenAI. This feature is unique in its ability to maintain and update knowledge bases efficiently.
In Workforce Management (WFM), Sprinklr has merged its Forecasting and Capacity Planning modules into a comprehensive Forecast Scenario tool. This tool includes parameters like Average Handling Time, Case Volume, Shrinkage, and Occupancy, enabling more accurate staffing predictions and resource allocation.
Sentiment Analysis and Social Listening
Sprinklr’s AI supports sentiment detection across over 100 languages, with a two-tiered emotion analysis that categorizes emotions into specific categories. This is more nuanced than competitors like Brandwatch, which relies on emoji-powered detection. Sprinklr also performs sentiment analysis at multiple levels, including document, attribute, and sentence levels.
Channel and Data Coverage
Sprinklr offers social listening coverage for over 30 channels, including exclusive partnerships with review platforms like Yelp, Tripadvisor, and Bazaarvoice. Unlike Brandwatch, Sprinklr processes every data point in real-time without sampling, providing precise and actionable insights.
Customizable Insights and Reporting
Sprinklr allows users to create highly customized reports with granular filters and various visualizations. It also features Smart Alerts that predict future social media trends using historical data, and supports multiple users working on the same report simultaneously.
Alternatives and Comparisons
Brandwatch
While Brandwatch is easier to use, it lacks the depth of analytics and AI capabilities offered by Sprinklr. Brandwatch relies on emoji-powered sentiment detection and samples data once it crosses a certain volume threshold, which can lead to data loss.
Feedly
Feedly is an AI-powered news aggregator but does not use AI to recap articles or enhance the reading experience in the same way Sprinklr does with its customer service and social listening tools. Feedly’s AI is mainly used for identifying topics and trends.
Google News
Google News does not use AI to recap articles, making it less comparable to Sprinklr’s AI-driven features in customer service and social listening.
Conclusion
Sprinklr’s unique features, such as its comprehensive AI integration, advanced sentiment analysis, and real-time data processing, make it a standout in the AI-driven product category. While alternatives like Brandwatch and Feedly offer some AI capabilities, they do not match the breadth and depth of Sprinklr’s offerings, particularly in customer service and social listening.
Sprinklr - Frequently Asked Questions
Here are some frequently asked questions about Sprinklr, particularly in the context of its AI-driven product category, along with detailed responses:
Q: How does Sprinklr use AI to enhance its Knowledge Management capabilities?
Sprinklr has introduced several AI-driven features to enhance its Knowledge Management. For instance, the new Gap Analysis feature helps identify missing articles, outdated articles, and conflicting information. It also allows users to merge articles with overlapping information and archive or delete obsolete content. Additionally, Sprinklr uses generative AI (GenAI) to transform community post threads into articles by extracting conversation threads, converting them into clear text, and formatting them into articles.Q: What are the key enhancements in Sprinklr’s Workforce Management (WFM) features?
Sprinklr has significantly enhanced its WFM offering by merging the Forecasting and Capacity Planning modules into a comprehensive Forecast Scenario tool. This tool includes parameters like Average Handling Time (AHT), Case Volume, Shrinkage, and Occupancy to generate accurate staffing predictions. It also features a new landing page displaying metrics like Abandonment Rate and service level objectives. Other enhancements include improved non-adherence alerts, direct schedule imports, and a more user-friendly Events system.Q: How does Sprinklr’s Product Insights feature work?
Sprinklr’s Product Insights uses AI to automatically categorize and consolidate customer feedback from social media, review sites, and surveys into actionable insights. This feature helps brands optimize products by analyzing feedback related to design, packaging, performance, or features. It leverages Sprinklr’s AI capabilities, known as Sprinklr Intuition AI, to drive revenue, reduce costs, and lower risk.Q: What measures does Sprinklr take to ensure the responsible use of OpenAI generative AI features?
Sprinklr has implemented several measures to ensure the responsible use of OpenAI generative AI features. These include rate limits to prevent excessive usage, logging and reporting to track and analyze usage, and alerts to monitor and identify potential issues. Additionally, data shared with OpenAI is deleted within 30 days and is not used to train or improve OpenAI models.Q: How accurate are the responses generated by Sprinklr AI features?
The accuracy of responses generated by Sprinklr AI features is determined by OpenAI and can be influenced by factors such as customer inputs, context, and prompts configured. While Sprinklr implements quality assurance mechanisms like testing and validation of input data and user feedback, it is recommended that customers always validate the accuracy of any response generated before use.Q: Can customers customize the Sprinklr AI features?
Yes, customers can customize the Sprinklr AI features through custom prompts. This allows them to specify parameters such as the length of the response, the tone or sentiment of the response, and more. However, customization is subject to Sprinklr’s evaluation and is executed by internal Sprinklr teams.Q: Does Sprinklr send customer data to OpenAI for AI features?
If customers choose to enable and leverage the OpenAI features within the Sprinklr platform, data will be shared with OpenAI. The type of data shared varies depending on the feature used, but it does not include using customer data to train or improve OpenAI models. All data shared with OpenAI is deleted within 30 days.Q: How does Sprinklr safeguard customer data when using OpenAI generative AI features?
Sprinklr has contracted with OpenAI as a subprocessor, ensuring data protection terms equivalent to those in Sprinklr’s agreements with its customers. This includes robust security measures, breach notification procedures, and standard contractual clauses for cross-border data transfers. OpenAI does not use customer data for model improvement, and any data submitted is retained for 30 days before being deleted.Q: What are the key features of Sprinklr’s social listening tools?
Sprinklr’s social listening tools allow brands to monitor and analyze conversations across over 30 social and digital channels, including 400,000 media sources and more than 1 billion websites. The tools are enriched with Generative AI for sentiment analysis, emotion detection, entity identification, and text classification. They also provide real-time trend and crisis monitoring, smart alerts, and the ability to analyze visual brand mentions on images and videos.Q: How does Sprinklr’s AI-powered automatic summarization work?
Sprinklr’s AI-powered automatic summarization feature uses generative AI to summarize all conversations associated with an aggregate data point. This quickly highlights key information and recommended actions, reducing the need to review every comment or piece of content. This feature is particularly useful for customer service, insights, and social media management.