Sentinel's exceptional models empower enterprises to analyze their audio conversations, extracting valuable insights on agent, product & customer.
Sentinel's exemplary models empower organizations to automatically evaluate their sales and operational communications. These models extract valuable conversational insights pertaining to agents, products, and customers. These insights include customer sentiment by section, the likelihood of conversion or interest, and the underlying reasons for the conversation and many more crucial insights.
Our groundbreaking product—Automated Conversational Analytics. With its advanced technology, this product transforms the way businesses analyze and understand customer conversations across various channels such as live chat, voice calls, emails, and social media. It offers real-time insights by extracting key data points, sentiment analysis, and identifying common trends and patterns from customer interactions. By leveraging powerful AI algorithms, Automated Conversational Analytics empowers businesses to make data-driven decisions, optimize customer experience, and improve overall customer satisfaction.
Our product uses automation to analyze vast data, providing actionable insights into conversations, including trends, sentiment, summaries, risks, and opportunities
Our product gives real-time audit data for agent performance on 100% eligible conversations, with evaluated insights shown in a structured dashboard.
Our priority is ensuring data privacy through the protection and proper handling of customer data in accordance with international standards
Our product supports diverse languages, including regional, local, and international dialects, to enable precise analysis of conversations for a global audience.
Our AI-facilitated approach enables businesses to gain unparalleled insights, fostering a comprehensive understanding of customer conversion probability, customer interest, agent performance metrics, and conversational sentiment
Harness the power of the Sentinel API for real-time, lightning-fast analysis of audio and text inputs, unlocking valuable insights and enabling data-driven decision-making in mere milliseconds.
{
"Insights": {
"Sentiment of the customer": {
"Sentiment": "Negative",
"Reason": "Expressed interest but concerns about the price and the lack of development at the location"
},
"Likelihood": "Low, as the customer expressed concerns about the development at the location"
}
}
Harnessing advanced metrics and automated call reviews to optimize agent performance and enhance customer satisfaction effortlessly.