Skip to content
‹ Back to IndustriesIndustrial IoT

Honeywell Unveils Generative AI Tool: Maintenance Assist

At MODEX 2024, Honeywell CMO Kevin Graebel introduced Maintenance Assist, a generative AI tool designed to advance logistics and warehouse automation. The tool represents Honeywell's push into AI-driven industrial maintenance, leveraging large language model capabilities to support operational efficiency. It signals a broader industry shift toward intelligent, AI-powered maintenance solutions in industrial settings.

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Industrial Iot · · #generativeai#gettingsmart#honeywellinnovation#honeywellmaintenanceassist
Share
Honeywell Unveils Generative AI Tool: Maintenance Assist

Key takeaways

01

Honeywell launched Maintenance Assist, a generative AI tool, at MODEX 2024.

02

The tool targets logistics and warehouse automation, aiming to improve maintenance efficiency.

03

The announcement reflects growing adoption of generative AI in industrial IoT and supply chain operations.

Free workspace

Turn your Industrial IoT expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

Honeywell Unveils Game-Changing Generative AI Tool: Maintenance Assist

In a recent announcement that has stirred the waves of innovation across the logistics and warehouse automation industries, Honeywell’s CMO Kevin Graebel unveiled a groundbreaking development in AI technology at MODEX 2024. Honeywell, a name synonymous with pioneering technological advancements, is taking a significant leap forward with the introduction of their generative AI tool, dubbed “Maintenance Assist.”

At the heart of this revelation is the convergence of decades of Honeywell’s expertise in warehouse automation equipment and the cutting-edge capabilities of generative AI. Maintenance Assist is not just another AI tool; it is a comprehensive knowledge repository built on a large language model that has been meticulously fed with an extensive array of Honeywell’s proprietary data. This includes decades of knowledge-based articles, user manuals, and logs from technical support calls.

The essence of Maintenance Assist lies in its ability to facilitate plain text conversations with users, providing them with swift and accurate troubleshooting guidance. This innovation is particularly beneficial for new employees stepping into roles vacated by retirees, offering them immediate access to decades of invaluable knowledge and expertise. Imagine the efficiency of having a virtual tech support resource readily available in your pocket, capable of guiding you through troubleshooting steps with straightforward text commands.

Kevin Graebel emphasized the internal testing phase of Maintenance Assist, highlighting its effectiveness in accelerating problem resolution for Honeywell’s technical support teams. This not only enhances the accuracy of troubleshooting efforts but also significantly reduces the time required to address issues. The vision for Maintenance Assist extends beyond internal use, with plans to make this revolutionary tool available to Honeywell customers, empowering them to leverage this technology for their operational needs.

As MODEX 2024 unfolded, Honeywell’s introduction of Maintenance Assist underscored the company’s commitment to driving innovation and efficiency in the logistics and warehouse automation sectors. This generative AI tool stands as a testament to Honeywell’s forward-thinking approach, promising a future where knowledge and expertise are seamlessly integrated into the fabric of technological solutions.

Check out #MODEX2024 and #GettingSmart for more updates on this transformative technology and follow #HoneywellInnovation for insights into how Honeywell continues to redefine the boundaries of what’s possible in the realm of industrial automation and AI. #GenerativeAI #WarehouseAutomation #TechInnovation #HoneywellMaintenanceAssist brings a new era of efficiency and knowledge accessibility to industries worldwide.

Your experts belong here

Every story in MarketScale Industrial IoT starts with a company putting its controls engineers, plant-floor specialists, and integration partners on the record. Buyers are already reading this topic. The only question is whose experts they find.

Plant and controls buyers research deep before contact, and your engineers get to shape that research.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

II
Industrial Iot
B2B Weekly

The week in Industrial IoT, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Industrial IoT expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your controls engineers, plant-floor specialists, and integration partners into the articles, video, and social content Industrial IoT buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

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

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Industrial IoT Insights

Matt Kelly says packaging automation pays back under two years

Matt Kelly says packaging automation pays back under two years

Matt Kelly and Joe Bradley argue brownfield warehouses often speed up picking while leaving packing manual. SupplyChainBrain reported in June 2026 that Kelly said service-model packaging projects can pay back in as little as one month and capital projects in under two years. Sparck's published 3-second boxing benchmark shows why operators still need a workflow-by-workflow comparison.

  • 01SupplyChainBrain reported in June 2026 that Kelly said some service-model packaging projects can pay back in as little as one month and capital projects in under two years.
  • 02Bradley says BoxLast can work from a license plate ID, a unique order identifier, so the machine can print and apply a shipping label without preloading weights and dimensions.
  • 03Sparck benchmarks, up to 20 stations and a box every 3 seconds, illustrate why operators must compare throughput, staffing and machine scope.

Oct 2, 2026

For constant plant-floor process streams, a data historian is often a better fit than SQL Server or Oracle

For constant plant-floor process streams, a data historian is often a better fit than SQL Server or Oracle

Precedence Research values industrial IoT at USD 602.87B in 2026 and projects 16.8% CAGR to 2035, adding pressure to handle growing sensor data volumes.

  • 01Precedence Research values the industrial IoT market at USD 602.87 billion in 2026, growing 16.8% a year to 2035, so plant data streams keep getting larger.
  • 02In Schmidt’s example, historians can store a timestamped point when a value changes (skipping repeats), while logging every repeated reading in a relational table can increase storage and slow time-window reports.
  • 03Historians such as AVEVA PI handle capture; CrateDB argues cross-plant analytics often sits beside the historian, and Tiger Data notes teams want SQL/dashboards while generic relational tables can degrade as they grow.

Sep 30, 2026

CED: Specify holding brakes where gravity can move a servo axis

CED: Specify holding brakes where gravity can move a servo axis

CED’s Nicholas Rodacz demonstrates spring-set servo holding brakes. Selection requires the correct torque rating and manufacturer instructions; the bench demonstration does not replace a machine risk assessment or establish personnel safety.

  • 01A spring-set holding brake is intended to hold a stationary shaft within its rated torque; it is not automatically a safety brake.
  • 02Gravity and other stored energy should prompt checks of load holding, torque and any required safety measures.
  • 03Use the exact motor specification and manufacturer inspection procedure. Hand-turning a shaft is not a sufficient brake-identification or safety acceptance test.

Sep 30, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Experts

II
Industrial Iot
KG
Kevin Graebel

Chief Marketing Officer

Honeywell

Kevin Graebel serves as CMO at Honeywell, where he oversees marketing strategy for the company's diverse industrial and technology portfolio. He represented Honeywell at MODEX 2024, where he unveiled the Maintenance Assist generative AI tool for logistics and warehouse automation.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512