Our system uses a combination of semantic understanding and rule-based weighting to analyze
keywords, context, and experience in each candidate’s profile. The synergy between lexical
matching (exact skill matches) and ML-driven context-based matching (interpreting synonyms,
job adjacency, soft skills) yields a well-rounded approach.
The Quick CV scanning module automatically extracts name, contact info, education, skills,
and experience sections from your uploaded documents—then standardizes them for easy
candidate comparison.
Our AI tagging engine organizes skill sets by relevancy, flags potential missing info,
and can even estimate seniority levels or potential cultural fit.
The SySyte Chatbot uses natural language processing to answer candidate queries instantly,
schedule interviews, and gather feedback. It’s also context-aware: if a candidate references
a previously asked question, the bot can recall relevant details from conversation memory.
Forecasting is essential for strategic planning. SySyte AI uses historical data, seasonal
trends, and external signals (like market demand) to predict everything from upcoming staffing
needs to your pipeline's success rates.
Visual dashboards automatically highlight key predictions, letting you pivot quickly if
the forecast shifts.
With every new hire, rejection, or acceptance, SySyte AI learns more about your unique
success metrics. Over time, your predictions, matching accuracy, and even chatbot
responses become more nuanced and aligned with your business goals.