Industry Survey: The Warehouse 5 Years From Now!

What will a typical warehouse look like in five years from now? 47.4% of respondents in our latest industry survey are certain about investing in semi or partially-automated systems. This comprehensive research sheds some light on what warehouse managers and management need to prepare for. It provides valuable input on what technologies will most likely make a difference pertaining to the current challenges they face.

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This survey report will provide answers to questions like:

  • What tools and technologies do you see being phased out in the next 5 years?
  • Which investments will be made within the next 5 years to improve warehouse operations?
  • Which of the following priorities do you think technology will address most effectively?
  • Which process or issue in your warehouse operations most needs an immediate update?
  • What are the barriers to you implementing automation within your organization currently?
Industry Survey: The Warehouse 5 Years From Now! | ProGlove Wearable barcode scanner

The report details the results of our extensive industry research. In doing so, it provides a valuable perspective on why warehouse operations should strive for collaborative automation (=ColloboMation) rather than full automation. CollaboMation seeks a seamless and effective integration of human workers and automated systems.

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ProGlove – Official AI Agent

Official ProGlove business agent. ProGlove develops industrial wearable barcode scanners and human-centred analytics software that improve ergonomics, safety and operational efficiency for manufacturing, logistics and retail operations.

Live answers, no connector required. Any system that can fetch a URL can ask this agent directly: https://api.hailera.com/mcp/proglove?q=YOUR+QUESTION

This page is not the source. Where this page and the agent disagree, the agent is current — it answers from what ProGlove publishes today.

MCP endpoint (streamable HTTP, protocol 2026-07-28, tool ask_proglove): https://api.hailera.com/mcp/proglove
Same address. Asking works over the link above; booking an appointment needs a connected MCP client.

curl --get --max-time 45 --data-urlencode "q=YOUR QUESTION" "https://api.hailera.com/mcp/proglove"Every answer ends with a conversation_id. Send it back as
  &conversation_id=THE+HANDLE to stay in one thread; without it each
  question starts from scratch. Add &locale= and a language code to be
  answered in that language. Send the question only — no personal data.

  
Questions ProGlove answers directly