NoBroker Launches CallZen.AI To Improve Customer Service
NoBroker, last week announced the launch of CallZen.AI. This AI-powered platform provides conversational insights from almost all Indian languages regardless of the context, whether it is calls, chats, or meetings. This is a completely new foray for NoBroker and it comes at an ideal time when everyone is using AI powered tools. Their customers include the banking, finance, insurance, health tech and edtech sector with a freemium model. For professionals and enterprises, it has started a one-month trial model. This tool provides multiple features like extracting insights from customer conversations, identifying conversation highlights, semantic analysis of the text in different languages to point to the same information, summarisation, and smart clustering. This removes the need for manual filtering of data. A notable feature of CallZen is its capacity to pinpoint important moments during customer conversations and schedule call-backs accordingly. Aside from improving internal processes; it also facilitates CRM integration, allowing businesses to set up custom CRM updates, emails, and alerts based on specific call highlights. Real-time alerting based on conversational triggers is another feature that sets CallZen.AI apart. It allows businesses to integrate moments and checklists into their existing systems, ensuring that they are immediately alerted to any violations or unusual conversations between agents and customers. Agents’ performance is closely monitored using metrics such as call score, customer satisfaction rate, handling time, hold detection, talk ratio, and customer sentiments. Businesses can export reports and visualise data through charts, graphs, and trends, providing them with a clear and concise overview of the metrics that matter most to their operations. NoBroker’s Tech Prowess NoBroker, a tech-driven real estate startup, prioritises technology over human reliance to address challenges. AI is crucial to their success, with a team of over 35 data scientists. They emphasise automation through AI techniques such as vision and NLP, creating proprietary products like that of Callzen.AI. This product, initially for internal use, is now offered as a SaaS platform to other companies. The startup’s tech team includes 1,000 agents, and they record and validate over 7,000 hours of call centre conversations daily. Utilising NLP, they identify positive and negative customer interactions. ‘Rentometer’ and ‘NB Estimate’ are their rent and price prediction engines, offering personalised recommendations considering factors like location and commute time. Vision analytics handle property images, and their system ‘IRIS Internal’ verifies image authenticity. NoBroker’s proprietary technology uses AI and user behaviour analytics to detect and eliminate fraudulent listings, resulting in a platform where 99.99% of properties are genuine. They’ve also created a substantial data lake called ‘Starship,’ containing 500 GB of data, enabling queries and business intelligence decisions with information from call data to business operations. Read more: Data Science Hiring Process at NoBroker
CallZen.AI provides conversational insights from almost all Indian languages regardless of the context, whether it is calls, chats, or meetings.
CallZen.AI provides conversational insights from almost all Indian languages regardless of the context, whether it is calls, chats, or meetings.
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["business intelligence", "data science", "AI", "automation", "NLP", "Ray", "analytics", "R", "data lake", "startup"]
["AI", "NLP", "data science", "analytics", "Ray", "R", "data lake", "automation", "business intelligence", "startup"]
K L Krithika is a tech journalist at AIM. Apart from writing tech news, she enjoys reading sci-fi and pondering the impossible technologies, trying not to confuse it with reality.