Kompyte’s consolidated insight stream, the Collect Feed, combines AI and machine learning to identify actionable competitive Intelligence. Check out this Introduction to Kompyte Technology for a technical overview.
How does KAI work?
At a glance: Kompyte Artificial Intelligence, fittingly named KAI, applied to web tracking automatically
Insight categorization: identifies the changed web zone on a webpage, and categorized using semantic filtering
Insight separation: separates the AB test updates, and
Insight filtering: removes non-relevant updates
Insight curation with semantics: Insights are assigned a Title and Description
Automation Workflows are then configured to further categorize the insights by keyword, topic, or trend (learn more here).
How does AI help me?
KAI first filters out noise, saving Kompyters hundreds of hours and empowering them with bandwidth.
This automated process refined by AI drastically minimizes the time previously required to conduct manual research and organize the intel.
Because these steps are completed by technology, not a human, Managers now have the bandwidth to track large set of companies, while focusing on strategy.
The Story
If you're here, you know that staying on top of the marketplace is essential to gain a competitive edge, and a pillar for competitive analysis is website research. You probably also know, manual web tracking is tedious, time consuming (on average 120 hours+ for 25 competitors), and quickly becomes out dated. 😫
This is why web tracking technology was developed. While this new automated solution did solve the initial problem of manual research, it presented new problems of its own - too much data and a wave of irrelevant data. 🌊😱
This is what drove the Kompyte team to innovate!
8 years, mountains of client feedback, and billions of data points later KAI was born - one lean mean noise filtering machine.