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A field note from a customer in logistics. They opened a dispatcher role on Monday and had 412 applications by Wednesday. With the queue ranked and duplicates folded, two reviewers reached a shortlist of 14 in three and a half hours, and every rejection got a reason line drawn from the requirements.

Candidates reapply, sometimes with a new email and a reformatted resume. We fingerprint work history rather than contact details: employer, title and date ranges normalised, then compared with a tolerance for gaps of up to two months. Matches are shown to reviewers with the previous outcome and notes.

A resume that says Kubernetes twelve times is not a stronger candidate than one that says it once next to a production incident story. Keyword counts reward padding. We score evidence instead: dated responsibilities, measurable outcomes, and consistency between roles.

In a sample of 2,300 engineering applications from three customers, keyword ranking put 38 percent of eventual hires outside the top 50. Evidence ranking put 9 percent outside.