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If you send enough people, someone will show up. That’s the lie hospitality staffing has told for decades.
Traditional agencies play volume. They flood the system with bodies and hope the math works out. When it doesn’t, the burden falls on operators: last-minute scrambles, stressed managers, compromised guest experience.
But staffing isn’t a volume problem. It’s a prediction problem.
Precision Beats Scale
When a shift matters — like a game day, a sold-out concert, or a full club dining room — “probably showing up” isn’t good enough.
Croux uses AI and real performance data to predict which workers are most likely to:
From a pool of applicants, we can identify which 10 out of 100 are actually dependable.
That precision is why Croux consistently delivers 90%+ fill rates with under 2% no-shows at a lower total cost than traditional staffing models that can’t promise either.
For operators, that means fewer gaps, less operational stress, and more confidence when it counts.
What This Changes for Operators
When reliability is predictable, everything downstream gets easier.
Operators using Croux confirm:
That’s what the Croux Trust Score delivers.
How the Trust Score Works
We’ve spent years analyzing tens of thousands of real shift outcomes to understand what dependability actually looks like in the real world – not in resumes, not in interviews, and not in a one-off ratings.
The Trust Score is a data-driven reliability signal designed to help businesses understand who is most likely to show up and perform, based on long-term patterns, not guesswork.
The model evaluates over 100 performance signals, like on time arrivals, no-shows, late cancellations, early departures, shift completion consistency, performance across multiple businesses, and reliability over time.
The score updates daily, so it reflects who a worker is now, not who they were months ago.
This isn’t about perfection. It’s about probability.
What the Trust Score Tells Our Partners
Rather than a simple pass/fail signal, the Trust Score creates meaningful distinction between levels of reliability.
Some workers are new and still building history. Others are average and improving. And some have consistently proven — across venues and over time — that they show up and deliver.
That nuance matters.
It allows Croux to prioritize the right talent for the right shifts, instead of treating every applicant as equal risk.
Reliability without Exclusion
Importantly, the Trust Score isn’t designed to lock people out.
Workers aren’t permanently defined by a number. New talent can move up quickly by completing reliable shifts, and improving performance is always reflected in the score.
That’s the beauty of the system: it’s built to balance opportunity for workers with predictability for businesses, because both are essential to a sustainable labor ecosystem.
The Bigger Idea
The future of staffing isn’t more people. It’s better prediction.
When you stop guessing and start learning from real outcomes, reliability becomes something you can design for, not just hope for.
That’s the role the Trust Score plays at Croux. And it’s why our customers don’t just fill shifts — they staff with confidence.
