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Why Visual Displays Are Becoming the Most Effective Tool for Picking in Smart Warehouses

Why Visual Displays Are Becoming the Most Effective Tool for Picking in Smart Warehouses

Operations managers overseeing warehousing services, transportation logistics and omni-channel fulfillment share a common set of challenges.

  • How can I solve mispicks and make my warehouse workers more efficient while picking?
  • What's the best mobile picking solution that integrates into my WMS?
  • How can I reduce employee turnover in my warehouse and improve operational efficiency?

Modern warehouse operations are often defined by the efficiency of the tools used on the floor. Companies looking to enhance warehouse productivity, efficiency and worker safety are in a constant cycle of refining fulfillment processes and integrating automation into their operations. In recent years, voice picking systems provided an excellent hands-free approach, but as robotic picking comes to the fore, companies are needing more interactive levels of human-centric integration across their systems, augmenting their workforce to adapt in real time to operational challenges.

45 percent of companies say managing workforce turnover is a significant fulfillment challenge

59 percent of companies expect a productivity increase greater than 15 percent through AR wearable technology

The table below presents key pros and cons across factors like usability, speed, comfort, and operational efficiency between common voice picking systems and headworn visual displays, specifically Vuzix M400 smart glasses. Both aim to streamline order picking by enabling hands-free workflows, but they differ significantly in how they integrate with inventory systems, how they deliver information, and the array of options—including onboarding, upskilling, mapping and scanning—they present to operators.

What are the main differences between smart glasses / visual displays and voice picking solutions?

User Experience

Feature / Factor
Voice Picking
Smart Glasses
Hands-free Operation
Workers keep hands free for picking
Workers keep hands free for picking
Eyes-up Operation
Allows full visual focus on the task and environment
See-beyond HUD keeps peripheral vision free; OSHA spotter guidelines met
Learning Curve
4–6 hour voice template and training dialogues
90 min average to proficiency; on-device videos and AR arrows cut ramp-up
Error Reduction
Dependent on voice recognition accuracy and pronunciation
Visual confirmation reduces mispicks
Noise Interference
Prone to errors in noisy environments due to voice misrecognition
Relies on visuals in noisy environments yet still supports optional voice snippets even at a 95dB forklift aisle
Physical Comfort
Lightweight headsets, generally comfortable
Lightweight headsets, battery weight offset by mounting options to avoid end-of-shift fatigue
Data Presentation
Only auditory feedback
Can show item images, arrows, text, or even maps
Data Inputs
Voice only, with auxiliary tools for photo and data input
Provides voice, photo, and video sharing

Back-end Management

Feature / Factor
Voice Picking
Smart Glasses
Multi-Language Support
Possible but requires robust speech models per language and accents
Easier to display visual instructions in any language
Barcode/Vision Scanning
Needs handheld scanner or check digits
Reads multiple barcodes in FOV; AI assists count and expiry detection
On-device AI & Offline Modes
Server speech engine; network loss means dead air
Snapdragon XR1 runs CV and LLM models locally; workflows cache when Wi-Fi drops. Visual pattern recognition, scanning, and more using on-device AI
Data & Analytics Loop
Only start/stop time via telnet
Edge logs per-step timestamps, Insights dashboards, and heat maps of pick zones
Typical Install Time
Significant, requiring installation of new servers and infrastructure
Less than a two-week pilot, scaling in 60–90 days
Maintenance
Very difficult to update workflows and content because of middleware systems
OTA firmware updates managed through all major MDMs
Real-Time
Lacks real-time visibility into warehouse tasks
Real-time tracking of tasks for all staff fully integrated with the solution. Requires no custom development

Hardware/Software

Feature / Factor
Voice Picking
Smart Glasses
Battery Life
Typically long, 8–12+ hours
Typically long, 8–12+ hours with swappable batteries
Remote Collaboration
No way to share view or make calls
Picker can share live video to remotely share view with a supervisor
Durability in Harsh Conditions
Designed for rugged use
Designed for rugged use; freezer rated at -20°C / -4°F
Integrations
Requires custom software development to run batch extracts from ERP platforms to middleware servers
Works with REST/JSON + MQ and integrates with Manhattan, Blue Yonder, SAP EWM, and Oracle

 

While voice picking remains a proven and reliable method, especially in environments where simplicity and auditory instructions suffice, smart glasses offer more dynamic system feedback and visually rich interface that can significantly enhance accuracy, reduce cognitive load, and improve performance in complex picking scenarios. Their ability to display images, text, and navigation cues directly in the user's line of sight makes them particularly valuable for training, high-variation tasks, and multilingual environments. As visual technology continues to evolve, smart glasses have become a compelling upgrade to traditional voice-based systems for warehouses aiming to maximize efficiency and adaptability.

Contact us to learn more about how visual displays can increase efficiency in your distribution center.