Ingest
Upload resumes, driver abstracts, certifications, or connect job descriptions from the employer cockpit.
imogl combines candidate scoring, job generation, semantic matching, alerts, and credit accounting into one prototype flow that can run locally today.
The prototype is organized around the decisions logistics teams repeat: verify, compare, unlock, alert, and contact.
Upload resumes, driver abstracts, certifications, or connect job descriptions from the employer cockpit.
AI evaluates credential fit, route or shift compatibility, work history, safety signals, and outreach readiness.
Shortlists are ranked by role fit, location, availability, certifications, equipment experience, and candidate credit activity.
Hiring teams move from shortlist to outreach, interview notes, job alerts, credit spend, and job description generation.
Ranks every candidate against the role using credentials, route or shift fit, equipment exposure, safety signals, and availability.
Turns resumes, abstracts, tickets, and work history into structured profiles with skills, certifications, preferences, and match context.
Generates concise logistics job snapshots, route details, responsibilities, requirements, and interview signals from employer inputs.
Tracks employer unlocks, posting value, and candidate earnings so useful activity is measured instead of buried in application volume.
Gives teams active postings, candidate shortlists, saved searches, alerts, credit balance, and outreach decisions in one workspace.
Lets candidates understand their private market signal, role matches, earned credits, and areas that improve employability.
Text tasks run through server routes so the product can add audit trails, compliance controls, and transportation-specific scoring rules as the prototype matures.