Computer implemented methods and computer systems for automating market research using artificial intelligence agents

A computer system for automating market research, the computer system comprising:

• a Market Research System (MRS) comprising:
• a memory unit configured to store machine-readable instructions;
• and
• a processor operably connected to the memory unit, the processor configured to execute the machine-readable instructions, that when executed, enable the processor to:
• receive a query from a user, wherein the query comprises a standard report, a research objective and/or one or more questions;
• collect context relevant to the query based on availability of internal information retrieval by querying the user with one or more clarification questions from the user using one or more Artificial Intelligence (AI) agents;
• form a strategy to retrieve data based on available data sources based on the context, wherein the strategy formation comprising:
• determining reliability of the available data sources and prioritize the available data sources according to their relevance of the available data sources for the research objective;
• retrieve data from the available data sources based on the strategy, the available data sources comprising non-agent sources such as web scraping, Application Programming Interface (API) endpoints, web browsing, and uploaded files, as well as agent-based sources such as synthetic focus groups, synthetic surveys, and autonomous survey collection;
• analyse the data to determine if the retrieved data is sufficient to complete the research objective;
• request modification or additional information in the data based on the analysis using the one or more AI agents within the MRS, responsive to the data not being determined as sufficient to complete the research objective;
• determine market research parameters based on the analysed data, the market research parameters comprising dynamic reports with visualizations and/or structured reports based on predefined templates;
• and
• iteratively optimize market research parameters by activating the one or more AI agents within the MRS based on incoming data and feedback.

A non-transitory computer-readable storage medium storing computer-executable instructions which when executed by a computer system causes the computer system to:

• receive a query from a user within a Market Research System (MRS), wherein the query comprises standard report, a research objective and/or one or more questions;
• collect context relevant to the query, based on availability of internal information retrieval by querying the user with one or more clarification questions using one or more Artificial Intelligence (AI) agents;
• form a strategy to retrieve data based on available data sources based on the context, wherein the strategy formation comprising:
• determining reliability of the available data sources and prioritize the available data sources according to relevance of the available data sources for the research objective;
• retrieve data from the available data sources based on the strategy, the available data sources comprising non-agent sources such as web scraping, Application Programming Interface (API) endpoints, web browsing, and uploaded files, as well as agent-based sources such as synthetic focus groups, synthetic surveys, and autonomous survey collection;
• analyse the data to determine if the retrieved data is sufficient to complete the research objective;
• request modification or additional information in the data based on the analysis using the one or more AI agents within the MRS, responsive to the data not being determined as sufficient to complete the research objective;
• determine market research parameters based on the analysed data, the market research parameters comprising dynamic reports with visualizations and/or structured reports based on predefined templates;
• and
• iteratively optimize market research parameters by activating the one or more AI agents within the MRS based on incoming data and feedback.