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Upshift

On-demand staffing platform for hourly workers in hospitality and light industrial with AI-powered matching and strict quality control

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Solution Highlights

Performance

Tracking the performance of the solution based on what's most important to you
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Business Case

Reduced 50% staffing shortfall to full coverage

Takeya USA

Takeya USA, a hydration solutions manufacturer, reduced their daily staffing shortfall from 50% to meeting full needs through Upshift, achieving 96%+ success rates while transitioning away from four different staffing agencies.

Key Results
  • 50% staffing shortfall eliminated
  • 96%+ success rates
  • Replaced 4 staffing agencies
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Dec 18, 2025
Self Reported
Kao Collins logo
Business Case

Achieved same-day candidate delivery

Kao Collins

Kao Collins, an inkjet ink manufacturer, reduced hiring time to same-day candidate delivery - posting positions in the morning and having candidates available the next day, maintaining a consistent workforce of 5-10 Upshifters regularly.

Key Results
  • Same-day candidate delivery
  • Post morning, start next day
  • 5-10 consistent Upshifters
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Dec 18, 2025
Self Reported
Ingram Express Services logo
Business Case

Express found qualified digital designer within one day

Ingram Express Services

Ingram Express Services, a kitting, fulfillment, distribution, print, and fabrication company, used Upshift to fill both low-skilled bindery associate roles and high-skilled digital designer positions, finding a qualified designer within one day through the Upshift to Hire Track.

Key Results
  • Qualified digital designer found in 1 day
  • Filled low and high-skilled positions
  • Improved staffing reliability
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Dec 18, 2025
Self Reported
Aero Fulfillment Services logo
Business Case

Flexible workforce scaling

Aero Fulfillment Services

Aero Fulfillment Services used Upshift to enable flexible workforce scaling to meet variable demand, improving their ability to identify and hire qualified workers through training programs and the in-app badge system.

Key Results
  • Flexible workforce scaling
  • In-app badge system for qualified workers
  • Seamless staffing adjustments
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Dec 18, 2025
Self Reported
Lucky Paws logo
Business Case

Achieved 100% success rate with <24 hour fill time

Lucky Paws

Lucky Paws, a microwavable pet treats manufacturer, used Upshift to fill shifts in under 24 hours with a 100% success rate, completing production goals ahead of schedule and eliminating the need for traditional staffing firms.

Key Results
  • <24 hour shift fill time
  • 100% success rate
  • Production goals completed ahead of schedule
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Dec 18, 2025
Self Reported

Qualifications

Certifications, badges, customers, and features that qualify this solution

Features

Managed Service
Self Service
Team Capacity
Vetted Talent

Focus Areas

Specialized areas the solution focuses on. The best solutions specialize in niches across skillsets, functions, industries, regions, and more.

Events
Food Service
Hospitality
Light Industrial
Logistics
Manufacturing
Warehousing

Category

General category of the solution.

Talent Platforms

About Upshift

Upshift is an on-demand staffing platform connecting businesses with hourly workers in hospitality and light industrial sectors. The platform uses AI-powered matching based on work history and performance with strict quality control accepting only the top 12% of applicants. Features include dedicated account managers 92% average worker return rate reducing retraining needs and a no-show policy where workers who miss one shift are permanently removed. Rated #1 On-Demand Staffing Platform on G2 with 4.7/5 rating. Operates in 25 metro locations serving clients including Compass Group Hyatt American Airlines and Six Flags.

Additional Details

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Human Cloud is a global workforce advisory firm that helps Fortune 500 companies future-proof their workforces through cloud-driven talent solutions. Led by CEO Matthew Mottola and Head of Enterprise Strategy Tony Buffum, the firm has been at the forefront of AI, talent platforms, and enterprise adoption since 2012.

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