Radar — Automated Worker Matching for On-Demand Staffing

Problem

The operations team was responsible for sourcing and confirming workers for last-minute food industry missions—sometimes 50 to 60 profiles in under 24 hours.

The manual process of browsing candidate databases, filtering by domain and price range, and individually contacting each worker consumed over 50 hours per week and often delayed client response times.

Approach

Built “Radar,” an internal feature that lets ops instantly generate candidate lists based on mission parameters—industry, availability, rate, and experience level—directly from the dashboard.

Implemented a matching engine in Go that filters and ranks profiles in real time, with a React frontend enabling dynamic search and live mission tracking.

Integrated Customer.io for automated outreach, triggering personalized notifications to workers that match a mission’s requirements and collecting confirmations automatically.

Impact

Reduced weekly manual ops time from 50+ hours to under 3 hours by automating the sourcing and notification process.

Enabled near-instant staffing for urgent client missions, improving responsiveness and reliability across multiple accounts.

Freed the operations team to focus on higher-value relationship management instead of repetitive matching tasks.