LoadUp is a nationwide junk removal and large-item hauling service that depends on a distributed workforce of independent contractors to meet demand across key metro markets. With Cue, Fountain’s AI agent, LoadUp transformed their approach to pipeline re-engagement by surfacing hundreds of past applicants in minutes, targeting high-demand markets with precision, and moving candidates into active workflows faster than ever before.
The Challenge: Peak season, no time, and a pipeline full of untapped candidates
Peak season arrived fast. LoadUp Technologies needed to staff key metro markets quickly, but their pipeline had a problem. Hundreds of past applicants existed in the system: people who had applied before but weren’t moved forward at the time. Finding them manually wasn’t realistic.
“We wanted to see easily: hey, what are some of those applicants we’ve had in the past that maybe for whatever reason, we weren’t able to move forward with at that time,” said Ryan Oleniczak, Supply Acquisition Specialist at LoadUp.
The team didn’t have hours to spend combing through records. They needed a faster way to surface the right candidates, in the right markets, before the window closed.
The Solution: A few prompts to surface hundreds of candidates and get them moving
LoadUp turned to Cue, Fountain’s AI agent, to do in minutes what used to take days.
With a few prompts, Ryan’s team identified hundreds of past applicants concentrated in their highest-demand areas. Cue surfaced the data, flagged the gaps, and helped the team understand exactly where to focus.
From there, LoadUp used Cue to send mass outreach directly into their workflows, moving candidates through the process faster and onboarding them more efficiently than before.
“Just by a few prompts, we’re able to identify hundreds of folks,” Ryan said. “Instead of manually going through those, we were able to send mass messaging to those folks into our workflow, which then allowed us to get them through our workflows a lot quicker.”
From reactive hiring to a data-driven targeting strategy
- Built a priority applicant queue for key metro markets, sourced entirely from existing pipeline data
- Replaced hours of manual work with targeted, prompt-driven candidate discovery
- Identified coverage gaps across markets that weren’t visible before
- Accelerated time-to-onboard by moving candidates directly into active workflows
Cue didn’t just save time: it changed how LoadUp thinks about their data.
“The data alone has helped us see maybe some gaps,” Ryan said. “It has just allowed us to create better data overall, to then really find those applicants that really are going to impact the business in a high quality manner.”
For a team under pressure during peak season, that shift matters. Instead of reacting, they’re targeting. Instead of searching, they’re deciding.
“We are now allowed to focus on things that are going to make that huge impact for our business.”