Manufacturing: Filling 40+ Field Engineer Roles with AI Candidate Matching

Over 70% of applicants lacked essential field engineering skills, slowing down project staffing and increasing training costs.

Manual resume reviews stretched initial candidate screening to nearly three weeks, delaying time-sensitive engineering hires.

Low candidate engagement and lack of timely follow-ups resulted in frequent interview drop-offs and wasted team bandwidth.

The absence of real-time hiring analytics made it difficult to forecast talent needs or adjust recruitment strategies effectively.

Recruiters followed varying evaluation standards, leading to misaligned candidate decisions and delayed hiring consensus.

Interview updates and confirmations often reached candidates too late, hurting experience and reducing offer acceptance rates.

Identified applicants with strong field engineering and plant operations expertise.

Ranked candidates on technical skill sets, project experience, and certification levels.

Synchronized calendars and reduced scheduling-related no-shows by 40%.

Delivered actionable data on hiring timelines, gaps, and bottlenecks.

Unified recruiter evaluations to ensure consistent shortlisting and faster decision-making.

Sent interview invites, feedback, and offer letters automatically to speed up closure rates.