Traba had a vision to support this: create a modern AI operating layer to help supply chains operate without delays. The idea was to create a platform capable of instantly matching workers to shifts while eliminating complexity from everyday administration within facilities. To succeed, the company needed high-speed AI and reliable cloud infrastructure.

Having built the original mobile app backend on Firestore and operated on Google Cloud from day one, Traba expanded its reliance on Google Cloud. Its goal was to transform industrial staffing, remove operational bottlenecks, and help workers and businesses perform at their best.

As applicants interact with the platform through phone calls, surveys, or resumes, Gemini gathers these details into structured worker profiles. The system automatically verifies candidate qualifications, such as cold-room experience, heavy lifting capacity, or certifications for gas-powered forklifts, matching workers to the right shifts instantly.

For ongoing support, a Gemini-powered conversational agent manages around 6,500 text messages per day. It gives workers 24/7 support for shift searches and pay questions while automatically translating every job posting into Spanish. Gemini optical character recognition reads handwritten paper timesheets so workers get paid accurately and on time.

When a packaging plant needed software to fix conveyor belt schedules and stop material waste, traditional tech companies quoted a seven-month timeline. Traba engineers launched a working Google Cloud solution in just 24 hours. The AI tool reorganized production schedules, cut out wasted materials, and saved the plant millions of dollars each year.

This direct engineering approach backed by Google Cloud delivers immediate results for businesses and faster opportunities for workers. Companies using Traba fill 95% of their shifts in less than a day, keeping supply chains moving without delays. Hourly workers get hired in hours instead of weeks so they can earn paychecks much faster.