Technical Feasibility Analysis for a new AI based Strategy Tool

We are working on a new AI-based strategy tool for B2B companies that will help automate the process of competitive analysis and strategy. Some of the goals that we would like students to help research the technical feasibility for include: Automate extraction of information (features, pricing, reviews, etc.) from an arbitrary B2B product website using a combination of web scraping, machine learning, NLP, or other technologies (for competitive analysis). Automate creation of competitive documents using internal company data, data from B2B product websites, data from product review websites or other sources. Ability to import data from documents (PowerPoint, Excel, Word, etc.) that contain certain information into a structured format to facilitate data migration for new users. Ability to extract relevant information based on keyword analysis and associate it with internal data sets from emails exchanges between internal/external stakeholders. Ability to extract and summarize data from videos from youtube and similar websites. Ability to tailor viewing experience of data based on different user roles (salesperson, marketing person, product manager) using an AI-based recommendation system. Ability to gather feedback from users (explicit feedback, observing mouse clicks, etc.) and use it to improve the recommendation system.