How does candidate rediscovery software handle outdated or incomplete candidate profiles?
Good rediscovery software updates candidate profiles automatically through contextual enrichment rather than requiring a recruiter to manually edit outdated fields. When a candidate reapplies or gets uploaded again under a new resume, the system matches them to their existing profile and fills in missing details on its own.
Outdated profiles are a common problem at mid-size companies with years of applicant history. People change jobs, update phone numbers, or add new skills on a fresh resume, and none of that reaches an old profile unless someone notices and edits it by hand.
A well-built matching process handles this by checking email, phone number, or LinkedIn URL first, then falling back to name, location, and company as a secondary signal. Before anything merges, a field comparison shows exactly what changed, flagging mismatched fields like title, location, or contact details rather than overwriting the old record blindly, and missing fields get filled in automatically while conflicting details wait for a recruiter's decision.
Tools like Skima AI follow this exact pattern through contextual profile enrichment, logging every resolved case in a dedicated Duplicates tab for later audit. This also prevents a related problem: without automatic matching, the same candidate can end up scattered across two or three separate profiles, each holding different, partial information instead of one accurate record.