Affle India has patented a method and system for integrating and monitoring multiple intelligent conversational agents to create a mega bot in real-time. The system selects the best agent based on trust score and user data, providing primary responses to user queries. The agents can also create secondary responses in a monitored virtual environment. GlobalData’s report on Affle India gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Affle India, was a key innovation area identified from patents. Affle India's grant share as of February 2024 was 24%. Grant share is based on the ratio of number of grants to total number of patents.
Integration and monitoring of intelligent conversational agents in real-time
A recently granted patent (Publication Number: US11929962B2) discloses a computer-implemented method for monitoring and integrating intelligent conversational agents. The method involves creating an online chatbot marketplace where vendors can upload their conversational agents, which are then integrated to generate a mega bot in real-time. Each conversational agent is assigned a trust score based on various factors, and a primary response is created for user queries. Additionally, a secondary response is generated in a virtual environment with privacy limitations to monitor agent performance. The system also collects real-time data on user behavior, past engagements, and user profiles to enhance the selection process of suitable conversational agents.
Furthermore, the patent includes features such as computing trust scores for uploaded agents, receiving confidence levels of agents for responding to user queries, normalizing trust scores based on factors, obtaining feedback from users, categorizing agents into trusted and untrusted categories, testing agents with automated queries, and predicting conversation aspects using machine learning algorithms. The method aims to optimize the selection and performance monitoring of conversational agents in various fields like customer support, e-commerce, finance, and education. The patent also extends to a computer system and a non-transitory computer-readable storage medium encoding the method for monitoring and integrating intelligent conversational agents, emphasizing the importance of real-time data collection and analysis for efficient agent selection and response generation.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
