Improving Workforce Efficiency by Rethinking How Work Flows — with Intelligence

Workforce efficiency

Takeaways

 

  • Inefficient task sequencing and manual workflows create unnecessary travel — often consuming 23–30% of total labor hours.  
  • Real-time task orchestration reduces wasted motion, improves throughput, and provides faster in-shift decision making. 
  • Workforce efficiency improves when work is coordinated across people, inventory, and automation. 

Many warehouse leaders assume productivity gaps come down to labor availability or performance. In reality, much of the workday is lost elsewhere. 

In a typical manual-picking operation: 

  • Order picking accounts for ~55% of warehouse operating cost. 
  • More than half of picking time is spent traveling between tasks. 
  • Travel alone can consume up to 55% of picking activity. 

That means a significant portion of the shift is spent walking — not completing work. 

This isn’t a people problem. It’s a flow problem.

When work doesn’t flow deliberately through an operation, employees spend a lot of time searching, waiting, and crossing the floor instead of picking orders. These inefficiencies are often hidden inside daily activity, but they compound quickly — reducing throughput, increasing fatigue, and putting pressure on safety and retention.

Workforce efficiency is not about having people work harder. It’s about how work is orchestrated with people, systems, and automation so less time is spent moving and more time is spent doing.

Historically, industrial engineers and labor management systems improved performance by measuring task times and setting standards. Today, the next step is real-time orchestration where work is dynamically sequenced based on current conditions.

And yet, many operations still lose time to unnecessary travel. For example, even with automation employees can walk 10 km (6.2 miles) or more per shift, contributing to fatigue, errors, and reduced throughput. These inefficiencies impact productivity, safety, and employee retention.  

The infographic below shows how time lost to travel becomes a business-case issue.

Where workforce efficiency is lost — and how intelligent flow design gives it back. In many manual picking operations, travel and non-value-added movement consume a significant share of labor time. Redesigning work around flow helps employees spend more time completing productive tasks and less time crossing the warehouse.

The high cost of unnecessary travel

Every extra employee step reveals a potential flaw in workflow design. Despite automation investments, travel can remain a persistent productivity drain.

  • Travel accounts for nearly one-third of labor time in picking activities. 

  • Fatigue increases toward the end of shifts, contributing to errors and rework. 

  • Inefficiency drives higher energy use, item rehandling, and operational costs. 

Even modest reductions in travel distance can produce significant gains in throughput and labor availability.

At Radial Europe, a leading B2C e-commerce fulfillment solution provider, eliminating long walking routes transformed performance.

  • Picking processes that previously took up to two hours were reduced to minutes.
  • Picking productivity increased 4x, with a 1.5x improvement in packing performance.
  • Error rates dropped while ergonomics and safety improved. 

These are not incremental gains — they are the result of redesigning how work flows through the operation.

Key areas of focus

Improving workforce efficiency starts with designing how work moves — not just how people perform tasks.

1. Make work visible in real time 

Disconnected systems create delays. Software like Dematic Command Center provides live visibility into bottlenecks and flow imbalances, allowing operators to act during active work. 

2. Design work around people, not paths 

At Radial, long picking routes (up to 2 km) were replaced by flow-driven design. Work is now delivered to pick workstations, reducing movement while increasing productivity, accuracy, and safety. 

3. Sequence and direct work dynamically

Warehouse execution system software coordinates inventory, labor, and automation in real time — grouping tasks and reducing unnecessary travel as conditions change. 

4. Apply operational expertise, not just technology 

At Sela Logistics, a leading 3PL in Israel, implementing a goods-to-person system helped:

  • Achieve 99.5% picking accuracy
  • Handle peak volumes without adding temporary labor
  • Complete order-to-shipment readiness within a single six-hour shift 

The results come not from automation alone but from how the system orchestrates work.

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