Improving Productivity in Manual Warehouses Starts with Picking

Voice Picking

Takeaways

  • Picking is the biggest labour drain in manual warehouses — and the fastest path to gains.
  • Voice-directed picking can boost productivity up to 45% while improving accuracy.
  • Incremental automation helps warehouses improve productivity without major facility changes.

Warehousing operations are under sustained pressure. Customer expectations continue to rise, with faster delivery times, higher accuracy and seamless returns now considered standard. At the same time, many facilities still operate with manual processes, making it increasingly difficult to keep pace with rising order volumes, labour shortages and growing operational complexity.

For many ANZ businesses operating manual warehouses, additional pressures come from labour shortages and rising labour costs, which are impacting operations, customer service levels and squeezing margins. While land scarcity and high building costs are forcing businesses to extract more value from existing facilities rather than expanding their footprint.

Combine these pressures with tighter safety and regulatory requirements, as well as the need to remain resilient in the face of disruption, and it becomes clear why warehouse productivity has become such a critical focus. For manual or partially automated warehouses, order picking is where the greatest opportunity exists to lift productivity.

Why picking dominates labour in manual warehouses

In a typical predominantly manual distribution centre (DC), picking is the single most labour-intensive activity. In many operations, up to 65% of warehouse staff are involved in picking tasks, particularly item or eaches picking. Yet despite the level of effort involved, traditional manual picking processes are inherently inefficient.

Studies of manual warehouse operations show that up to 70% of a picker’s time can be spent travelling between locations rather than actually picking product. This travel time adds a significant hidden cost, contributing to lower productivity, increased fatigue and higher error rates. As order volumes grow and order profiles fragment, these inefficiencies are magnified.

Improving picking performance therefore offers one of the most powerful strategies for lifting productivity in manual warehouse operations while reducing reliance on labour.

Voice-directed picking: lifting productivity and accuracy

Voice-directed warehousing solutions have become a proven way to improve picking productivity, accuracy and flexibility in manual warehouse environments. These systems guide operators through tasks using spoken instructions delivered via a lightweight rugged headset, directing them to locations, quantities and destinations. Pickers confirm actions verbally, allowing the system to validate each step in real time.

Voice-directed picking can increase productivity by up to 45% for item picking and up to 25% for case picking, while delivering accuracy rates of 99.99% or higher. Training times are typically reduced by around 50%, making voice particularly valuable in labour-constrained environments where onboarding speed matters.

In operations where workforce turnover can be high and seasonal peaks are common, voice systems also provide the flexibility to redeploy staff quickly without sacrificing performance.

In Australia, a voice-directed picking solution helped food distributor Tasty Fresh transition from manual, paper-based processes to a more efficient operation, delivering a 35% productivity improvement and reducing errors across picking and stocktaking.

An additional development of voice picking pairs audio instructions with visual feedback through a small display terminal. This allows pickers to see the pick location, quantity and even product images, along with guidance on optimal pallet builds.

By combining audio and visual cues, these systems further improve accuracy and productivity while supporting more compact and stable pallet builds. This enables smoother downstream handling, fewer errors and more consistent performance across shifts.

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