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Transforming Dairy Manufacturing with Connected Worker Technology: Why Augmentir Leads the Way

Discover how Augmentir’s Connected Worker platform revolutionizes dairy manufacturing by improving quality, reducing downtime, and empowering frontline workers with AI-driven tools.

Last Updated: November 27, 2025

As the dairy industry struggles with increasing demand, shifting regulatory landscapes, and a widening skills gap, manufacturers are turning to digital tools to modernize their operations.

One solution that stands out in this transformation is Connected Worker software, a category that empowers frontline workers through real-time guidance, remote collaboration, and intelligent insights. And among the leaders in this space is Augmentir, a platform purpose-built to optimize frontline operations across food and beverage manufacturing — including dairy.

The Unique Challenges of Dairy Manufacturing

Dairy processors operate in a high-pressure environment with narrow margins and tight compliance requirements, and uncompromising safety and quality standards. They face:

Stringent sanitation and traceability regulations
Perishable raw materials and products
High variability in production lines and product SKUs
An aging workforce and high turnover rates
Lack of real-time visibility into frontline work

These factors place immense stress on both the workforce and the systems that support them. Maintaining consistent safety and quality while navigating these challenges is difficult—especially when legacy systems fall short in enabling knowledge transfer, standardizing procedures, and responding quickly to non-conformances or equipment issues.

Addressing Dairy Challenges with Technology

Technology plays a critical role in addressing workforce, compliance, safety, and quality challenges in dairy manufacturing. Connected worker platforms, in particular, enable real-time communication, guided digital workflows, and smart data capture that help ensure procedures are followed consistently and correctly.

A Connected Worker platform is a digital layer that equips frontline workers with smart tools — often via mobile devices or wearables — to complete tasks more effectively. These platforms empower frontline workers with step-by-step instructions, instant access to support, and automated documentation—improving adherence to safety and quality standards while reducing training time and human error. By digitizing and connecting the workforce, dairy manufacturers can drive greater operational efficiency, accountability, and continuous improvement across their operations.

The result is a safer, more efficient, and more agile workforce — even amidst labor shortages or high variability in operations.

Why Augmentir for Dairy?

Augmentir goes beyond digitizing work — it optimizes it through AI. This means that the platform continuously learns from workforce behavior and system performance to identify where improvements can be made.

Key features that make Augmentir ideal for dairy manufacturers include:

1. Smart Workflows for Sanitation and Quality Control

Augmentir helps ensure that Standard Operating Procedures (SOPs) for Clean-in-Place (CIP) systems and product changeovers are followed consistently and documented in real time. This reduces the risk of contamination and non-compliance.

2. Workforce Development and Knowledge Retention

With an aging workforce and growing training demands, Augmentir’s embedded skills tracking and adaptive learning tools ensure that employees are properly trained and matched to the right jobs based on their evolving capabilities.

3. Real-Time Issue Resolution

Whether it’s a malfunctioning separator or an alert from a pasteurizer, frontline workers can instantly connect and collaborate using Augmentir’s connected worker technology. This reduces downtime and accelerates resolution—without waiting for external support.

Augmentir enables effective, context-based collaboration across shifts, sites, and languages. Teams can share information in real time, and directly update work procedures to reflect tribal knowledge exchanged during collaboration sessions. Augmentir’s AI captures and transforms this expertise into sharable corporate knowledge, improving visibility and communication.

Workers can also raise, track, and manage maintenance notifications digitally using a visual Kanban board. Monitor operational KPIs, and seamlessly escalate issues to enterprise Plant Maintenance systems or CMMS platforms.

4. AI-Powered Insights

Augmentir’s AI continuously analyzes data from work execution to uncover patterns and opportunities for optimization — such as which procedures cause delays, or where additional training is needed.

5. Integration-Friendly

Augmentir can seamlessly integrate with existing ERP, MES, CMMS, and QMS systems, providing a flexible way to modernize without ripping and replacing core infrastructure. This integration infrastructure allows Augmentir to act as a “Single Pane of Glass” for a manufacturer’s frontline operations.

Real-World Impact

Dairy companies adopting Augmentir’s Connected Worker platform reports:

Up to 72% reduction in onboarding and training time
27% reduction in quality issues and improved first-time quality and compliance adherence
21% decrease in unplanned downtime
Higher worker engagement and retention

A New Standard for Frontline Excellence

In an era where labor shortages, quality demands, and operational agility define success, the world’s leading dairy manufacturers, such as Müller Milk, are turning to Augmentir to modernize their frontline operations. By replacing manual, paper-based processes with AI-powered digital tools, these industry leaders are empowering their workforce, optimizing every task, and transforming their plants into smart, data-driven operations. Augmentir is not just a tool — it’s becoming the new standard for operational excellence in the dairy industry.

Request a demo to learn how Augmentir can modernize your dairy operations.

See Augmentir in Action

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The 6 Laws of AI Agents: Building Trust, Transparency, and Safety in AI

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Augmentir’s 6 Laws of AI Agents define the guardrails for safe, ethical, and accountable agents in manufacturing and industrial environments.

Last Updated: November 27, 2025

As AI agents become more deeply embedded in business operations, they carry tremendous potential—but also significant responsibility. At Augmentir, we believe that trust, accountability, and safety must form the foundation of every AI deployment. That’s why we developed our 6 Laws of AI Agents: guiding principles that ensure AI systems operate transparently, responsibly, and safely in real-world environments. These laws are designed not only to safeguard organizations and individuals, but also to help businesses realize the true value of AI without compromising integrity or safety.

1. Transparency in Execution

All agent activities must be observable. This includes what instructions were given, which tools were used, and what outcomes were produced. Transparency ensures traceability, making it clear how and why decisions were made.

✔Summary: AI must never be a “black box.” Clear visibility builds trust and accountability.

2. Clear Ownership

Every AI agent must have a clearly defined human or organizational owner responsible for its decisions and actions. This ownership must be explicitly documented to prevent ambiguity and ensure accountability at all times.

✔Summary: AI is powerful, but responsibility always rests with people, not machines.

3. AI Origin Disclosure

Whenever an agent provides an answer, recommendation, or decision, it must clearly state that it was generated by AI—and acknowledge that AI can make mistakes. This sets proper expectations and reinforces responsible use.

✔Summary: Clear disclosure prevents overreliance on AI and keeps human judgment central.

4. Persistent AI Disclosure

If an agent’s AI-generated recommendation or content is shared outside its native system (e.g., posted in Microsoft Teams or another platform), the AI origin and disclaimer must remain attached. Transparency should travel with the content wherever the information is shared.

✔Summary: AI-origin labels must stay attached, ensuring clarity across platforms.

5. Human-in-the-Loop for Impactful Actions

Any action that creates, modifies, or deletes a data item that could affect operational outcomes must require human review and approval before completion. For example, a safety report notes oil on a walkway. If an agent attempts to close the issue without cleanup, a human must approve before closure.

✔Summary: AI can recommend actions, but humans must approve decisions with real-world consequences.

6. No GenAI for Life-Critical Actions

Generative AI must not be used to perform actions that could physically harm a person, control equipment, or alter settings that impact human safety. These actions require deterministic, verifiable code and strict safety protocols.

✔Summary: AI can assist, but life-critical actions must always remain human-controlled.

Governing the Future of AI Responsibly

The 6 Laws of AI Agents provide a blueprint for deploying AI responsibly in the enterprise. By emphasizing transparency, ownership, disclosure, human oversight, and safety, organizations can embrace AI innovation without compromising trust.

At Augmentir, we believe AI should augment—not replace—human intelligence, and these laws ensure that principle is upheld.

See Augmentir in Action

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A Letter From the CEO: Augmentir Closes Funding Round to Accelerate AI Expansion

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Last Updated: November 27, 2025

Dear Augmentir Customers and Friends – a note on Augmentir funding and Ai expansion, This week we announced that we closed an oversubscribed funding round that will support the Augmentir mission to transform the frontline workforce with our AI-based Augmented Worker Platform. This round was led by leading venture capital firm Pritzker Group Venture Capital, with participation from Lerer Hippeau, our current investors, and HOLT Ventures, the strategic venture capital arm of HOLT CAT. Not only does the successful closing of this funding round further validate Augmentir and our unique approach of using AI and AR to support frontline workers, but it also enables us to expand our global footprint, further increase the functionality of the platform, and make it even more accessible to companies across the small, mid-sized and large spectrum. Together with our investors and partners, we look forward to reaching even more companies, more workers, and more innovators, while defining the future of work. With a unique and proven track record that includes founding efforts at Wonderware, Lighthammer, and ThingWorx, our executive team has the unparalleled domain expertise to deliver the next software innovation that will revolutionize the manufacturing and industrial market and shape the frontline workforce of the future. We are excited to continue this journey with you, to support your frontline workforce with augmented procedures and help your organization drive continuous improvement through AI-driven insights. Thank you! Sincerely, Russ Fadel, CEO, Augmentir

Read the Press Release

About Augmentir

Augmentir is the world’s only Smart Connected Worker Suite. Augmentir is being used by manufacturing and service companies to empower their frontline workers to perform at their best and deliver improvements in safety, quality, and productivity consistently, year-over-year. Augmentir offers customized AI-powered connected worker solutions that transform how you write and create manufacturing standard operating procedures. Request a live demo today to learn more about why leading manufacturers are choosing our solutions to improve their manufacturing processes.

Four Ways Connected Worker Technology is Helping Frontline Workers Operate in Today’s New Normal

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The impact of COVID-19 has placed pressure on manufacturing operations leaders to maintain business operations and business continuity. Here are four ways that connected worker technology is shaping the future industrial workforce.

Last Updated: November 27, 2025

Four Ways Digital Technology is Helping Frontline Workers Operate in Today’s New Normal

The global pandemic has changed frontline work and given workers a new type of normal – and for many manufacturers, the change will be permanent.

The impact of COVID-19, and subsequent changes in how factories are located, staffed, managed and digitized, as well as how customers are supported is placing pressure on manufacturing operations leaders. According to McKinsey & Co., manufacturing companies of every size are now turning to digital and connected worker technology as a way to maintain business operations and business continuity. Technologies such as artificial intelligence (AI) and augmented reality (AR) based remote collaboration are now central to the corporate innovation portfolio of any business leader and crucial to boosting productivity at a time when enterprises most need it.

Here are four ways that connected worker technology is shaping the future industrial workforce and helping frontline workers operate at peak levels of safety, quality, and productivity during these times.

1. Provide Remote Assistance

Travel limitations and restrictions have forced companies to re-think how they support their staff and customers. As a result of COVID-19, manufacturers have initiated policies that encourage remote working, eliminate non-essential travel and instruct employees who are sick or under quarantine to stay home. This directly impacts the progression of operations that typically take place when multiple workers collaborate onsite.

AR-based virtual collaboration tools are providing business continuity for companies that can no longer rely on face-to-face interactions.

With on-demand remote expert functionality, onsite workers can quickly pull in an offsite colleague when their expertise is required. Many manufacturers are also extending this out to support virtual collaboration with 3rd party dealers and suppliers, customers, and even field service teams for those companies that provide equipment service and support. Digital work procedures, videos, realtime data and more are readily available and allow remote subject matter experts to intelligently guide and help workers on the job.

2. Reimagine Training

One of the challenges that has emerged during this pandemic has been workforce variability. Flexible staffing is becoming more the norm, and training/re-skilling is more important now than ever.

Traditional methods of classroom training have now become impractical if not impossible, and many companies are looking towards connected worker technology to help shorten training times and accelerate onboarding for new technicians. Use augmented reality (AR), visual aids, and contextual information to guide workers through complex tasks and deliver AR-based training experiences.

For example, Bio-Chem Fluidics, a mid-sized manufacturing company, was able to reduce new employee training time by over 80% – from three months down to two weeks. The use of visual aids and short training videos within digitized work procedures allowed their operation to onboard technicians at a faster rate and reduce downtime during learning periods, resulting in improved productivity.

3. Improve Quality and Productivity through Augmented Work Instructions

Another area where connected worker technology helps is through augmented work instructions. Equipped with digital devices that could include tablets, mobile phones, or even AR-enabled industrial smart glasses, frontline workers are able to receive fully augmented, guided instructions on any device to improve productivity, quality and allow workers to perform their jobs more independently. These help guide workers with visual aids, AR/MR experiences, and contextual information.

Digital work instructions enable manufacturing workers, customers, dealers, and field service technicians to complete assembly, installation, maintenance, or repair procedures at 100% quality without requiring face-to-face support. Artificial intelligence and machine learning (AI/ML) can be used to amplify the value that digital work instructions bring to the connected worker. AI is used to personalize the instructions to each worker’s proficiency level, which helps intelligently close the skills gap and enable workers to perform at their best.

4. Uncover Continuous Improvement Opportunities

It’s critical for manufacturers to monitor processes and track progress during this time so that they can make quick adjustments to ensure overall optimization. Our view at Augmentir is that the purpose of a connected worker platform isn’t simply to deliver instructions and remote support to a frontline worker, but rather to optimize the performance of the connected worker ecosystem.

Incorporating AI into a connected worker strategy enables true organizational optimization using the rich stream of activity data to recommend improvement actions to frontline workers, continuous improvement specialists, trainers, manufacturing engineers, and operation and service managers.

AI-based connected worker platforms can use granular data to identify the largest opportunities across the frontline workforce
For example, Augmentir’s AI-powered connected worker platform looks through all job data and uses AI to cleanse the data set and recognize the largest improvement opportunities for your company in productivity, training, quality, and delivers them to your team automatically through insights in the system
In doing that, the system learns a lot about each worker, and can dynamically match the instructions to each worker’s proficiency and capability, intelligently closing the skills gap
Finally, AI bots allow you to accumulate tribal knowledge (that your subject matter experts know) and convert it into a scalable, digital corporate asset

With an ecosystem of content authors, frontline workers, subject matter experts, operations managers, continuous improvement engineers, and quality specialists, there are dozens of opportunities to improve performance.

Now is the time to consider these and start digitizing and connecting your frontline workforce. These technologies are proving to be practical and effective ways to close skill gaps and transform training efforts – allowing your frontline workers to work safely and efficiently in today’s new normal. Book a personalized demo to learn more.

How AI is Transforming Lean Manufacturing

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Augmentir CEO Russ Fadel and Bio-Chem Operations Manager Conor Puckett recently sat down to discuss how technology, specifically Artificial Intelligence and Connected Worker technology, are transforming lean manufacturing.

Last Updated: November 26, 2025

Augmentir CEO Russ Fadel and Bio-Chem Operations Manager Conor Puckett recently sat down to discuss how technology, specifically AI and Connected Worker technology, are transforming lean manufacturing, driving continuous improvement and optimizing overall worker effectiveness in the manufacturing sector.

For quite some time, Overall Equipment Effectiveness (OEE) has been used in lean manufacturing to evaluate the effectiveness of factory equipment, yet still, many manufacturers ignore the human aspect of a lean strategy. Unfortunately, this leaves manufacturers with a missed opportunity. According to Deloitte, while measuring worker productivity and labor efficiency is not a new concept, the rise of digital technology is making it easier and more practical for the manufacturing workforce to connect with the support tools as well as the real-time data and insights needed to propel them to do their best work.

In this webinar, Conor shares how Bio-Chem is driving their lean initiatives forward using technology and data to gain insight into how their workforce is performing, why that is important to them as a business and how they are using that information to drive continuous improvement efforts across their operations.

Russ provides his insights into how AI is really becoming transformational in terms of understanding the manufacturing workforce, optimizing their performance, and being used to gain insight into improving performance, quality, and productivity.

Watch the full webinar recording to:

Learn how to extend the principles of OEE to the manufacturing workforce
Discover proven approaches that leverage AI and connected worker technology to digitize manufacturing processes and uncover continuous improvement opportunities for improved worker efficiency and effectiveness
Uncover best practices for optimizing worker performance and enhancing workforce development program
Hear how Bio-Chem Fluidics uses AI and digital worker tools to improve quality and productivity within their lean manufacturing operations

About Augmentir

Augmentir is the world’s only Smart Connected Worker Suite. Augmentir is being used by manufacturing and service companies to empower their frontline workers to perform at their best and deliver improvements in safety, quality, and productivity consistently, year-over-year. Refining manufacturing methods can be difficult without the right technology. Augmentir’s AI-based connected worker solution makes streamlining and optimizing your production and quality procedures easier than ever before.

Schedule a live demo to learn why manufacturing leaders are choosing us to improve worker efficiency, enhance frontline productivity, apply real-time insights, and more.

Augmentir Selected as “Innovators to Watch” by JFF

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Jobs for the Future (JFF) has selected Augmentir as one of 15 ‘Innovators to Watch’, as part of their research report Learning as an Experience.

Last Updated: November 26, 2025

Jobs for the Future (JFF) has selected Augmentir as one of 15 ‘innovators to watch’, as part of their research report Learning as an Experience.

According to JFF, these “Innovators to Watch” are a select group of visionary enterprises that are at the leading edge of market trends and they distinguish themselves from other forward-looking companies by their potential to create significant, business-aligned social impact. These companies offer a potentially transformative innovation and are led by inspiring founders and teams that we believe in.

In the report, JFFLabs takes closer look at the evolving alternative education and training market, with a focus on solutions that have a “measurable impact on workers’ wage and employment prospects.” The program providers and platforms selected help employers develop, train, and retain workers and make up “an ecosystem of opportunity that workers can turn to throughout their careers as they navigate new pathways in an ever-evolving economy.”

According to the report, “Augmentir stands out because it develops solutions with frontline workers and industrial settings in mind. At a time of heightened concern about automation eliminating industrial jobs, Augmentir presents employers with an opportunity to use technology to help workers develop the skills they need to adapt to changes.

The company frames its work around the key idea of skills variability rather than skills gaps, using artificial intelligence (AI) and digital technology to holistically understand every worker’s competencies and offering employers tools that help workers acquire new or more advanced skills.

Augmentir’s products give every worker direct access to knowledge and information in user-friendly digital formats. The company’s tools embed training into workers’ day-to-day routines, and employers can use the platform to continually update training content to support workers’ evolving learning needs. And Augmentir’s approach of collectively sourcing knowledge from individuals in the workforce makes learning a social experience and increases learner engagement by giving workers agency to shape training content.”

Read the full report at JFF.org.

3 Ways Manufacturers are Using Technology to Train, Develop, and Retain Talent

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AI-powered technology may be the missing puzzle piece for today’s workforce crisis.

Last Updated: November 25, 2025

AI-powered technology may be the missing puzzle piece for today’s workforce crisis in manufacturing.

Is it just us or does recruiting, training, and retaining top talent today feel a lot like searching for that one elusive puzzle piece? The seismic shift in the workforce is forcing us to get creative and be adaptable like never before. It’s a new generation and if we want to be competitive in hiring in this ultra-competitive environment, we need to re-access how we train, develop, and retain talent, embrace the variable nature of the labor market, and meet workers where they are.

We can no longer try to force-fit the old model of staffing and training into a space that looks drastically different. It’s not just about a labor shortage or the supply chain challenges created by the pandemic. Workers themselves are changing. What they want from work, and how they want to work.

The solution to this head-scratching puzzle? AI-based technology. Digital work instructions and individualized training and on-the-job training (OJT) can improve productivity, reliability, independence, and safety for every worker. It offers flexibility in scheduling for operations managers. It reduces downtime. All of which contribute to a more efficient – and profitable – operation.

Sound too good to be true? Brace yourselves. It’s not. Here are three ways that AI-powered technology can help.

1. Moving onboarding and training closer to the point of work

Imagine if we could train and develop someone in the context of doing their work, leading to increased engagement and allowing organizations to retain top talent. Furthermore, we could see an increase in productivity as they constantly evolve their learnings.

AI is allowing companies to understand a worker’s skillset and provides the ability for personalized digital work instructions to guide them in the context of work while they are doing their job, whether it’s a new worker or one with dozens of years of experience. With an AI-based onboarding approach, organizations are able to hire a wider range of individuals with varying skill sets and get those individuals productive faster.

2. Give support at the moment of need

Are you a people watcher? We are. Ever take notice of who is on the factory floor? Last time I checked, we got the “newbies” and “veterans”. The variability of the workforce, both skilled and young, proves that there’s not a one size fits all approach to troubleshooting and performance support.

Enter AI.

Give workers the support and guidance they need, at the moment of need, whether it’s immediate access to a digital troubleshooting guide, or connecting virtually with a subject matter expert. Delivering personalized work procedures for every worker allows for continuous learning and growth.

3. Improve engagement and retention

Workers that are connected and empowered with digital technology can discover and nurture diverse skills based on their unique competencies and experience. They can earn greater responsibility and independence. This increases confidence and job satisfaction. Which in turn can improve employee retention and slow the revolving door of continual recruiting and training.

The aftermath?

Workers are likely to stay and want to grow in the company when they feel included. Shortly, workers begin walking with poise and a “can-do” attitude to their next job task.

What else is possible with AI-powered connected worker technology?

AI-based technology is ideal for training workers in this variable environment. AI-based systems individualize information about workers based on previous training and data-driven performance insights and augments their capabilities. It offers step-by-step guidance at the moment of need for regularly scheduled maintenance as well as troubleshooting. It helps managers learn about workers’ existing skills and build a rationale for specific roles, resources, and certification support and then make clear recommendations based on demands.

Technology should fit into your business as simply as sliding that last puzzle piece into place. Workers are the heart of your business, and you should adapt technology to fit your business, not the other way around.

Technology should fit into your business as simply as sliding that last puzzle piece into place. That includes how you train your workers. But no two workers are exactly alike. Each will learn and approach problems differently. So why not use the technology that recognizes and adapts to those differences to your advantage?

To learn more about how Augmentir can help you embrace this opportunity, contact us for a personalized demo.

How to Track Employee Skills in the Manufacturing Industry

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Learn how to track employee skills in manufacturing and discover modern approaches to effective skills tracking.

Last Updated: November 25, 2025

In today’s manufacturing environment, it is daunting and time-consuming to keep track of employee skill levels across the many different job tasks. With the constantly accelerating rate of turnover in the workforce, Excel or paper-based skills tracking in manufacturing has become obsolete.

Leading manufacturers are now turning to smart digital technology to streamline skills tracking and connect it with frontline operations, giving them a competitive edge and boosting workplace safety productivity. Skills tracking software can be a great help to identify workers’ current skills and find any gaps. In a nutshell, such a tool helps automate, organize and simplify the process of evaluating employees’ skills and better understanding your workforce.

Learn more about how skills tracking is changing and the importance of integrating skills management into the flow of work by exploring the following topics:

Five approaches to effective skills tracking in manufacturing
Benefits of tracking skills in manufacturing
Features to look for in skills tracking software

Five approaches to effective skills tracking in manufacturing

According to a recent survey by McKinsey & Company, companies reported that tracking and validating skills and competencies was their top talent challenge.

Effective skills tracking can improve safety, productivity, and worker performance by helping match the right people with the right tasks. For any organization, there are multiple methods and tools that can be used to track the skills of your workforce:

1. Direct assessment

This approach focuses on one employee directly assessing another. This may be done as a form of peer review between employees or by a manager.

2. Self-assessment

This approach consists of employees conducting self-assessments of their skills and qualifications through surveys every few months.

3. Anonymous peer assessment

This approach involves coworkers anonymously assessing each other’s performance on projects or other tasks.

4. Skill assessment using HR or learning systems

This type of assessment can be done using an HR system (or a Learning Management System) to assess and update employee profiles based on training completed. For example, workers can report any courses finished, track their training data or report new certificates.

5. AI-based skills tracking software

Any of the above 4 methods are commonly used, however, the increasing workforce variability, absenteeism, and turnover is forcing new requirements. Increasingly, manufacturers are turning to AI-based software solutions to help digitally track and manage skills, and connect them with work execution.

HR/Learning systems or standalone skills tracking software solutions that attempt to automate skills tracking fall short of meeting the needs of today’s manufacturers because they do not connect the “skills that workers know” with the “work being done”. These standalone solutions may have been ideal for the stable, unchanging workforce of the past, but they are not suited for today’s era of high workforce variability.

An integrated, closed-loop skills management system is the solution for this era of high workforce turnover and absenteeism. Skills management solutions that combine skills tracking capabilities with AI-based connected worker technology and on-the-job training can deliver significant additional value. Data from actual work performance can inform workforce development investments allowing you to target you training, reskilling, and upskilling efforts where they have the largest impact.

Benefits of skills tracking in manufacturing

Tracking skills in manufacturing can help identify the skills your employees already hold and those they still need to learn to properly do their jobs. Furthermore, using AI-based connected worker solutions, organizations can digitize and easily manage skills tracking and training programs and connect them with frontline operations.

Some benefits of tracking your employees’ skills using this approach include:

1. Boosts productivity on the shop floor

An organization’s commitment to cultivating its team’s skills can influence their attitudes toward the job. A worker is likelier to perform better when valued and appreciated. Skills tracking also ensures that workers are qualified to perform their job.

2. Ensure safety

Solutions that close the loop between training/skills and the work being done allow organizations to validate at the time of work assignment who has the skill level to safely perform a specific task. This helps to mitigate risk and ensure safety.

3. Intelligently assigning work

Ensure the right person is assigned to the right job. Manage work assignments based on skill level, endorsements, and actual job performance.

4. Closes the skills gap

Tracking skills is a great way to identify gaps between the skills employees already have and the skills they need. With this information, the company can arrange for additional training or other ways to invest in their employees. Keep in mind that as your manufacturing organization evolves and grows, so should your employee skillset.

5. Boosts internal communications

Employers who actively develop their employees’ skill levels are likelier to retain them. Tracking skills can also motivate and spur connections with team members.

6. Identify upskilling or reskilling opportunities

Use data from actual work performance, combined with an employee’s current skills and endorsements to inform your reskilling and upskilling decisions.

7. Enhances competitive edge

Although the purpose of effective skills tracking is to aid in worker growth and development, a byproduct is a stronger, more competitive organization as a whole. Knowing where improvements need to be made can close any learning gaps and boost the overall success of a company. Optimizing your workforce can help improve productivity in every department, giving your company a competitive edge in today’s market.

Features to look for in skills tracking software

Having the right features for skills tracking in manufacturing can help a company be more productive and efficient. This type of software should help manufacturing facilities no only identify, assess, track and cultivate employee skills, but also improve operational safety and performance.

It’s important to look for the following features when deciding which software is right for you:

Training management
This feature helps businesses see how their teams are progressing and evaluate whether training opportunities are making an impact. It helps store employee training records for real-time access and evaluation, and measure training effectiveness based on actual job performance.

Certifications management
This feature helps employers manage employee certifications. If a worker’s certification is expiring, the software’s tracking functions should easily notify the parties involved.

Skills tracking integrated into the flow of work
Skill levels and current endorsements ensure that workers can perform tasks safely and correctly and, therefore need to be considered at the moment of work assignment and again at the moment of work execution.

Live dashboard
Skills tracking software with customizable dashboards offer a real-time view of employee skills, qualifications, and any skill gaps that may exist. Managers will have a better idea of where to allocate resources to train employees and who is a better fit for a role.

Learn how Smart Skills Management software is helping manufacturers bridge the gap between training, skills, and work to build a more resilient and agile workforce.

Download our latest eBook – The Future of Work: Connecting Skills Management with Standard Work.

Download the eBook