Skip to content
MarketScale
‹ Back to IndustriesEngineering & Construction

How to Implement Future-Ready Queueing Solutions at Scale

With the world reopening and a considerable uptick in face-to-face interactions expected, more and more businesses face a demand and capacity issue. Namely, demand may exceed the capacity to handle customers. Queuing can provide the perfect solution, but it comes with an intimidating prospect. How do brick-and-mortar establishments integrate queuing at scale safely and efficiently…

This story was produced through MarketScale. See how Engineering & Construction teams put it to work with Partner & Channel Enablement.

Share

With the world reopening and a considerable uptick in face-to-face interactions expected, more and more businesses face a demand and capacity issue. Namely, demand may exceed the capacity to handle customers. Queuing can provide the perfect solution, but it comes with an intimidating prospect.

How do brick-and-mortar establishments integrate queuing at scale safely and efficiently in a way that doesn’t impact customers negatively? Erik Berg, VP of Marketing for NEMO-Q, spoke to Daniel Litwin on ways NEMO-Q is working to demystify the queuing process and make it simpler than ever for companies to take advantage of these systems.

“We find ourselves in a unique position to help businesses increase the volume of their customers,” Berg said. “We still want them to be as efficient as ever, but we also want to add to that an air of decluttered-ness and organization.”

Even with the pandemic winding down, that doesn’t mean customers are excited to get all cozy and crowded when they enter a business. Some people, even when vaccinated, will choose to continue wearing a mask and may seek out touchless experiences when available. Berg said it is essential to have options to cover all the bases. Instead of touchscreens to enter one’s place in line, perhaps utilizing a QR code, like many restaurants now do, is a preferred method for customers.

“Or, better yet, you go through that whole process at home, and you don’t even step onto the premise until you absolutely have to,” Berg said. “So, there’s a little bit for everybody. If you’re trying to get back out there and have those face-to-face interactions, we’re certainly going to provide that for you. If you want to be a bit more on the cautious side and stay at home and you think that’s the way to go, we have that option for you, too.”

Follow us on social media for the latest updates in B2B!

Twitter – @MarketScale

Facebook – facebook.com/marketscale

LinkedIn – linkedin.com/company/marketscale

Engineering & Construction: are you visible to AI?

Before they reach out, Engineering & Construction buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Engineering & Construction Insights

AI moves from back office to job site in construction's next build-out

AI moves from back office to job site in construction's next build-out

McCarthy Building Companies has entered a multimillion-dollar agreement with Palantir to enhance AI adoption. However, RICS experts highlight that data readiness and organizational culture pose significant challenges. This development signals a shift in integrating AI within construction sectors.

  • 01McCarthy Building Cos. signs a major deal with Palantir.
  • 02Data readiness is a critical hurdle for AI integration.
  • 03Organizational culture impacts AI adoption in construction.

Jul 11, 2026

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea commits $7.5 billion to AI-autonomous manufacturing as smart factory count hits 30,000

South Korea is investing $7.5 billion in advancing AI-autonomous manufacturing, with a significant increase in smart factories, now totaling 30,000. The initiative also targets the development of 100 AI manufacturing zones throughout the country.

  • 01South Korea invests $7.5 billion in AI-autonomous manufacturing.
  • 02There are currently 30,000 smart factories in South Korea.
  • 03The government aims to develop 100 AI manufacturing zones.

Jul 11, 2026

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

Construction's productivity crisis: why ML cost forecasting and off-site methods are converging

U.S. construction productivity has decreased since 1968. Machine learning models and off-site construction methods are becoming pivotal in bridging this productivity gap by providing accurate cost forecasting and efficient building practices.

  • 01U.S. construction productivity has been declining since 1968.
  • 02Machine learning models offer enhanced cost forecasting capabilities.
  • 03Off-site construction methods contribute to improved project efficiency.

Jul 10, 2026

Explore More Engineering & Construction Insights

Read more expert perspectives from across Engineering & Construction.

Browse Engineering & Construction Hub