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Jobber Launches Copilot, The First Of Several AI-Powered Products Aimed at Making Home Service Business Ownership Simpler Than Ever Before

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New tool exemplifies Jobber’s commitment to harnessing AI in practical and meaningful ways

TORONTO, Oct. 1, 2024 /PRNewswire/ – Jobber, the leading provider of home service software, today announced the launch of Jobber Copilot, an AI-powered assistant that serves as a business coach, data analyst, marketing specialist, and Jobber product expert to help home service pros make better data-driven decisions, improve their strategies, and streamline their operations like never before.

“We’re developing AI tools to further simplify the daily operations of service professionals, with the long-term goal of having AI handle all administrative tasks, allowing business owners to focus on the work that they’re actually getting paid for,” said Forrest Zeisler, CTO and co-founder of Jobber.

“Jobber Copilot is the first step in this product evolution,” continues Zeisler. “It supports business owners in scheduling, quoting, and marketing best practices so they can service customers faster and grow revenue easier. We’re excited to unveil several new AI-powered features in the coming months that will take the guesswork out of starting and operating a home service business.”

Jobber Copilot’s initial capabilities include:

Marketing support: With context into a service pro’s customer trends and job history, Jobber Copilot can provide tailored marketing strategies to help businesses meet their marketing goals. Copilot can even write blog posts and social posts based on what’s relevant and interesting in their specific industry.Data analysis: Jobber Copilot goes beyond surface-level insights by using historical data within Jobber to analyze operational efficiency, cash flow, workforce performance, and more. This means customers can access all their data instantly and receive suggestions on improving or highlighting areas of opportunity.Business coaching: Drawing on its expertise in home service and knowledge of the service pro’s business, Jobber Copilot can deliver highly relevant and personalized guidance based on a customer’s questions and prompts. Whether they need help with day-to-day challenges or want to work on long-term goals, Copilot provides tailored strategies with the business’ data and goals at its core.Jobber product expertise: As an integrated feature within Jobber, Copilot is highly knowledgeable about how to get the most out of the platform. Jobber Copilot will recommend features to help business owners achieve their goals and optimize their business operations.

Addressing key pain points

The time-consuming nature of data analysis has long been a challenge for business owners, but Jobber Copilot alleviates this burden by providing instant insights. Sean Rozonkiewiecz, Vice President of Elite Lawn & Landscape based in Lexington, SC said, “Through Jobber Copilot, we discovered most of our requests come in on specific days, allowing us to increase ad spend on those days—something we wouldn’t have known without a lot of manual digging.”

“So much of my data is in Jobber, but before Jobber Copilot, I didn’t know how to use the data to meaningfully answer questions I had about my business,” explained Santiago Trujillo, owner of Sandia Shine Co LLC based in Albuquerque, NM. “Having Jobber Copilot there to give me answers to things that are on my mind, and quickly, is massive. Other AI tools just aren’t capable of that level of personalization.”

AI tailored to home service businesses

While some industries fear being overtaken by AI, home service pros have a unique opportunity to partner with AI while focusing on their trade skills—tasks that AI cannot replace, like repairing air conditioners or landscaping properties.

With 44% of service pros reporting in a recent survey* that business coaching is most valuable when paired with help developing marketing strategies, Jobber Copilot is well-equipped to address their needs.

Homeowners welcome AI in home services

Another recent survey of 1,000 U.S. homeowners** found that they are increasingly supportive of AI use in home service businesses, particularly for fast communication. More than half of homeowners (51%) are interested in AI if it means more rapid responses from their service pro, and 57% believe AI will lead to better customer service, particularly in automating the scheduling of maintenance and repairs (54%) and cost estimates for services (49%).

However, while AI can handle inquiries and bookings, 78% of homeowners still prefer a human to perform services inside their homes. This balance of AI-powered efficiency and human expertise is where home service businesses will shine.

A new standard for home service excellence

With the launch of Jobber Copilot, Jobber is not only enhancing the way home service businesses operate but also working with them to set a new gold standard for the industry. By integrating with AI, small businesses can deliver best-in-class service that is personalized, efficient, and reliable.

“Small, local businesses provide a level of care and customized service that’s hard to compete with,” adds Sam Pillar, CEO and co-founder at Jobber. “Our goal at Jobber is to stand behind these businesses and to provide tools that make it easier to do great work. Features like Jobber Copilot eliminate overhead so that business owners can focus their undivided attention on their customers and on doing a great job.”

Powered by a large language model (LLM) that has been trained on over a decade of Jobber’s extensive knowledge base, Jobber Copilot is specifically designed to meet the needs of home service professionals. It leverages an array of resources, such as podcast transcripts, Jobber Academy articles, support videos, and more, positioning it as an industry expert in helping businesses thrive.

The Jobber Copilot is free and available in beta to all U.S. and Canadian Jobber customers. For more information visit https://getjobber.com/features/ai/

Survey Methodologies

*The survey data was commissioned by Jobber and conducted by Conjointly of 616 home service professionals in the U.S. and has a margin of error of plus or minus 4 percentage points at the 90% confidence level.

**The survey data was commissioned by Jobber and conducted by Conjointly of 1,000 homeowners in the U.S. and has a margin of error of plus or minus 3 percentage points at the 90% confidence level.

About Jobber

Jobber is an award-winning software for small home service businesses. Unlike spreadsheets or pen and paper, Jobber keeps track of everything in one place and automates day-to-day operations, so small businesses can run smoothly and provide five-star service at scale. Jobber is used by more than 250,000 home service professionals to serve over 27 million properties in more than 60 countries. The company continually ranks as one of Canada’s fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and Mail, Fast Company, and Deloitte. For more information visit: https://jobber.com/.

Media contacts

Travis Van Horn
PAN Communications for Jobber
jobber@pancomm.com
+1 202-840-2286

Elana Ziluk
Senior Public Relations Manager, Jobber
elana.z@getjobber.com
+1 416-317-2633

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SOURCE Jobber

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Raytron Industrial Launches TN660 and TN463 Thermal Cameras for Dynamic Testing and Continuous Condition Monitoring

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YANTAI, China, Oct. 22, 2026 /PRNewswire/ — Raytron Industrial today announced the launch of two new products: the TN660 High Frame Rate Fixed-Mount Thermal Camera and the TN463 Fixed-Mount Thermal Camera. Both offer 640 × 512 imaging with synchronized image and temperature data. The TN660 delivers full-frame 120 Hz acquisition for moving targets and transient thermal processes, while the TN463 provides 60 Hz imaging for routine inline inspection and continuous equipment monitoring.

Full-Resolution Imaging for Different Process Speeds

Featuring a 12 μm uncooled VOx detector, the TN660 achieves 120 Hz at its native resolution without windowing, preserving spatial detail and scene coverage. Frames are approximately 8.33 ms apart, helping engineers examine rapid heating, cooling, and short-duration thermal events in research, industrial automation, and transportation applications.

The TN463 uses the same detector resolution and pixel pitch. Its 60 Hz output supports routine production cycles and long-term temperature trend analysis. To accommodate different installation requirements, the TN463 offers 6.9 mm, 9.1 mm, 19 mm, and 25 mm lenses, while the TN660 is available with 9.1 mm and 25 mm lenses.

From Event-Triggered Capture to Synchronized Analysis

Both cameras support hardware and software triggering to coordinate acquisition with equipment actions. An external signal through the I/O (input/output) interface can initiate capture at a defined process stage. For example, a heat-press start signal can trigger the TN660 to record the thermal sequence, reducing unnecessary recording and review work.

Synchronized output pairs temperature readings with corresponding thermal images. Raytron Industrial’s TI Studio software supports simultaneous preview and analysis of up to four cameras, with temperature and temperature-rise alarms to flag abnormal conditions. Engineers can review recordings, examine and export historical temperature curves, and generate reports, linking equipment events with thermal data for further analysis.

Temperature Measurement and System Integration

Both models measure temperatures from −20°C to 150°C and 100°C to 650°C, with an accuracy of ±2°C or ±2% of the reading, whichever is greater. Ethernet and USB connectivity support data acquisition, while compatibility with industrial protocols such as Modbus TCP allows temperature data to be incorporated into existing control and monitoring systems.

With a choice of 60 Hz and 120 Hz imaging, the TN463 and TN660 allow users to match thermal acquisition to their process requirements, from continuous equipment monitoring to dynamic testing.

For Further Information

Email: sales@raythink-tech.com
Website: https://www.raythink-tech.com/

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4SiGHT Supply Chain Group Welcomes Joanne Strong as Senior Vice President, Delivery Excellence and Innovation

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Industry-recognized WMS leader and AI-driven delivery innovator joins 4SiGHT to lead delivery as one of North America’s largest dedicated Manhattan Active® implementation partners accelerates its growth

WAYNE, N.J., Oct. 22, 2026 /PRNewswire-PRWeb/ — 4SiGHT Supply Chain Group, one of North America’s largest dedicated Manhattan Associates implementation partners, today announced the appointment of Joanne Strong as Senior Vice President of Delivery Excellence and Innovation. Strong joins the executive leadership team and will lead all client delivery across the firm.

4SiGHT has built something rare in its 18 years of operations: deep Manhattan expertise, exceptional talent, industry reputation, singular focus on Manhattan Associates, and a culture that puts client success at the center of everything it does.

The appointment comes during a year of rapid growth for 4SiGHT. Now in its 18th year, the firm has grown to more than 70 full-time associates in 2026 and continues to add Manhattan Active® talent across its warehouse, labor, transportation, and organizational change management practices. Strong’s newly created role is dedicated to ensuring that this growth is matched by an uncompromising standard of quality across every engagement.

“Delivery is our product. Every go-live, every client reference, and every renewal comes down to how well we execute,” said Frank Camean, President and CEO of 4SiGHT. “As 4SiGHT scales, we made a deliberate decision to put a senior executive in charge of one thing: the quality, consistency, and continuous improvement of how we deliver for our clients. Joanne has built and led delivery organizations at real scale, she knows the Manhattan Associates platform from the inside, and she has a proven record of innovation to make implementations faster and more predictable. Joanne is exactly the leader our clients deserve as we enter our next chapter. We are all honored and excited to have her join the team and can’t wait to see what the future brings.”

Strong brings more than a decade of experience with Manhattan Associates and enterprise warehouse management. She most recently served as WMS Practice Lead, directing a multimillion-dollar WMS practice that delivered supply chain transformation programs for Fortune 500 companies in retail, consumer products, and life sciences.

A recognized voice in the supply chain industry, Strong delivered keynote addresses at the 2025 Stratify Executive Forum and at Parcel Forum 2026, has been a featured panelist at MODEX, and has appeared on The New Warehouse and Bloomberg’s Talking Transports podcasts. She holds a B.B.A. in Management Information Systems from the University of Georgia’s Terry College of Business.

“4SiGHT has built something rare in its 18 years of operations: deep Manhattan expertise, exceptional talent, industry reputation, singular focus on Manhattan Associates, and a culture that puts client success at the center of everything it does,” said Strong. “The depth of Manhattan knowledge and real-world implementation experience across the organization is truly unique in the industry. My focus is on elevating an already outstanding client experience by combining that expertise with proven delivery practices, innovative methodologies, implementation accelerators, AI-enabled tools and capabilities. We have an incredible opportunity to help clients achieve faster outcomes, greater confidence in execution, and long-term business value. I’m honored to join the team at such a pivotal moment in its growth and excited for what we will accomplish together.”

About 4SiGHT Supply Chain Group

4SiGHT specializes in supply chain software implementations, with a primary focus on the Manhattan Associates product suite of applications. Our seasoned professionals average more than 19 years of experience helping companies across all industries solve their distribution, fulfillment, and transportation challenges. Together with our strategic partners, our collective team includes more than 100 associates. No other firm in North America brings this depth of Manhattan Active® expertise, and we look forward to expanding our team with additional talent in the months ahead. As a testament to the value our clients place on our expertise, experience, and integrity, 4SiGHT has received multiple industry awards. For more information, please visit 4sight.com or email us at in4mation@4sight.com.

Media Contact

Jenae Cahanes, 4SiGHT Supply Chain Group, 1 9734350025, jenae.cahanes@4sight.com, 4sight.com

LinkedIn

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SOURCE 4SiGHT Supply Chain Group

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UL Research Institutes Releases New Report Defining Roadmap for Next-Generation Wildfire Risk Intelligence

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New findings identify critical gaps and opportunities in wildfire risk modeling to strengthen community protection

COLUMBIA, Md., Oct. 22, 2026 /PRNewswire/ — As destructive wildfires increasingly threaten communities across the globe, a new report from UL Research Institutes’ Fire Safety Research Institute examines the strengths and limitations of current wildfire risk models and provides a roadmap for more comprehensive wildfire risk intelligence.

“Wildfire Risk Modeling Evaluation Findings and Community Perspectives” details findings from the 2026 Wildfire Risk Modeling Exercise, a first-of-its-kind collaborative effort that evaluated a diverse set of wildfire risk models using common scenarios and datasets. The exercise included approximately 20 organizations across academia, government, national laboratories, nonprofits, and the private sector.

For fire service leaders, emergency managers, and public safety officials, the report provides a practical framework for evaluating which modeling capabilities are best suited to specific community needs and decisions. Applied effectively, these tools can help practitioners identify where risk is greatest, prioritize mitigation investments, strengthen evacuation and preparedness planning, and make more informed decisions before, during, and after a wildfire.

“The Wildfire Risk Modeling Exercise was a convergent test and evaluation of the diverse models available to characterize wildfire risk today. These results revealed broader insights about the state of the science, prioritized gaps, and the investments needed to advance wildfire risk intelligence,” said Rebecca Harned, principal research scientist for Fire Safety Research Institute and the report’s lead author. “The findings provide a critical foundation for shaping the next decade of research, innovation, and operational capability. This report also serves as an important resource for local and state fire service and public safety agencies, providing an evidence-based framework for selecting wildfire risk modeling capabilities and applying them effectively to assess and manage community risk.”

Key Findings From the Wildfire Risk Modeling Exercise

The results from the exercise demonstrate that no single model can capture the full complexity of wildfire risk, nor should one be expected to. Instead, the report identifies an opportunity to build a new generation of wildfire risk intelligence by connecting complementary models, datasets, and scientific approaches. Doing so can help close critical gaps between modeling wildfire hazard and understanding what ultimately matters to communities — which people, property, and assets are at risk, why they are vulnerable, what the consequences could be, and which actions can most effectively reduce those risks.

To realize that vision, the report recommends building an interoperable modeling ecosystem spanning the full wildfire risk assessment pathway, from ignition and landscape fire spread through structure exposure, community impacts, and economic consequences. It also calls for stronger shared core data and standards, improved transparency and explainability, expanded decision-support tools, and greater use of ensemble modeling. Together, these advances could transform wildfire modeling from a collection of specialized capabilities into an integrated risk intelligence framework that better supports decisions before, during, and after wildfire events.

About the Fire Safety Research Institute

UL Research Institutes’ Fire Safety Research Institute advances fire science and fire safety knowledge to reduce risk, save lives, and protect property. We conduct rigorous research, outreach, and education in collaboration with the fire service, fire safety professionals, policymakers, communities, and an international network of partners. Together, we develop tools, resources, and strategies that improve fire safety outcomes worldwide. To learn more, visit fsri.org. Follow Fire Safety Research Institute on Instagram, Facebook, and LinkedIn.

About UL Research Institutes

UL Research Institutes is a nonprofit research organization dedicated to advancing public safety through scientific discovery. Since 1894, our research has advanced our mission toward a safer, more secure, and sustainable future. Focused on global risks from fire mitigation and air quality to safe energy storage and digital privacy, we conduct rigorous independent research, analyze safety data, and partner with experts to uncover and act on existing and emerging risks to human safety. Discover more at UL.org.

About the Exercise

The 2026 Wildfire Risk Modeling Exercise was designed as an open, collaborative and non-competitive effort. Each model submission was evaluated by multiple reviewers through two complementary evaluation streams: science and technical evaluation and user and practitioner evaluation. Participating organizations applied their models to standardized scenarios representing wildland, wildland-urban interface, and urban environments, with results evaluated by scientific experts and operational practitioners. The exercise was designed not to rank models, but to identify their strengths, limitations, and opportunities for integration.

For more information and to read the full report, visit FSRI.org.

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SOURCE UL Research Institutes

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