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Cargo ship going across water.
Leader in Logistics Industry

Logistics expertise, cultural shifts lead to 50% increase in efficiency

Roles were filled, but productivity lagged.

With its focus on express shipping, our client needed to have a well-trained, dependable, and efficient workforce. Production rates at one of its southern facilities were hampered by low transition rates, as a significant number of assigned associates from previous temporary labor agencies did not transition to Employbridge. From there, the challenges snowballed. What started as a transition became a knot of recruiting and training challenges. While we could hire new talent, losing experienced workers lead to slowdowns and a loss of knowledge about processes and operations

Our impact

Productivity

24%

increase in productivity

With informed line leads and the CPU model in place, Employbridge was able to increase productivity in this facility from 69% to 93%.

Turnover

30%

overall turnover rate

The Employbridge team was able to meet the client's goals of a turnover rate of only 30% which also places them above average for their specific industry.

Fill rate

>95%

fill rate

Clearly defined roles and production goals translated to higher-quality candidates meeting client goals.

What we did

Clearly defined goals, higher expectations, and clearing bottlenecks on the line.

The client wanted our team to be responsible for more than headcount; they expected us to meet production goals. To address this need, we called in our workforce solutions team to identify and solve production bottlenecks and create a plan in place for continued success. 

Once in place, our CPU Leadership Team was able to quickly assess the issues andstruggles to obtain production goals while reducing talent turnover.
The CPU team worked with the client’s engineers to conduct time studies on conveyance and set performance goals for each of the facility’s eight lines.
PU leaders created an incentive program to encourage workers to minimize their downtime time andincrease their productivity. Our client also benefited from this pay-for-performance model, which is based on agreed-upon KPIs.
We brought in team members with experience in logistics who quickly identified problems on theline, including a lack of packing materials at some stations and changes in workflow during the production process
With the CPU model in place, employees were less likely to start work late, leave for breaks early,and return to work well after their breaks had ended. 

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