AI use cases for market intelligence
Competitive, industry and technology intelligence: AI collects, sorts and summarises the signals that matter for decisions.
Automated competitive intelligence
Monitoring competitors systematically, offers, hires, partnerships, patents, public statements, requires regular work by qualified people. Done by hand, monitoring becomes intermittent: it resumes at budget time or after a competitor's announcement, and so always after the fact.
Industry monitoring and trends
Spotting a trend before it becomes obvious means going through a growing volume of sources: trade press, analyst notes, academic papers, institutional announcements. Read by sampling, this material yields its lessons once the market has already moved.
Media monitoring and press review
Tracking press coverage of the company, its leaders and its strategic topics takes a fixed amount of time every morning. Conventional press review tools miss pick-ups and indirect quotes, and give a reading of tone too coarse to manage a reputation.
Technology and patent watch
Tracking patent filings, scientific publications and innovations relevant to the business requires sharp expertise. R&D teams spend their time on their projects first. Signals from the USPTO, EPO, INPI and WIPO, journals and conferences pile up faster than internal reading capacity.
Strategic report summaries
Sector reports, economic notes and institutional publications arrive faster than they can be read. The time spent extracting their substance is taken from the decision they are meant to inform.
Intelligence curation and distribution
Collecting, sorting and formatting monitoring content for the right people takes considerable time with every issue. The result swings between two pitfalls: mass distribution that nobody reads, or sends so infrequent that the information loses its value.
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