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How evo boosted picking productivity 2.5x while reducing labor over 60%

Retail & E-Commerce Autonomous Mobile Robots
  • 90

    units picked per hour vs. 35 units previously

  • 10-15

    minutes needed to train employees

  • 60 %

    reduction in staffing requirements

Infios Product Illustrations Amr

Challenge

  • Scaling for seasonal demand: peak periods reached up to 10x typical sales volume, straining warehouse operations.

  • Managing labor constraints: reliance on 10–15 temporary staff per shift, with ongoing recruitment challenges.

  • Maintaining safe and efficient workflows: increased pressure from COVID-19 safety protocols and operational congestion.

Solution

  • Autonomous Mobile Robots (AMR): deployed a flexible robotic picking system to increase efficiency and support demand fluctuations.

  • Scalable capacity (RaaS model): added robots during peak season to quickly expand throughput without disruption.

  • Rapid implementation: system fully operational in just 53 days, minimizing time to value.

  • Simplified training: reduced onboarding time for seasonal staff.

  • System-directed picking: increased productivity while reducing staffing needs

“To me, these early successes and these opportunities are exciting, because it means the solution should continue to grow with us and add more value over time.”

Spencer Earle
Supply Chain Director, evo
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