Industrial Engineering

While skilled talent is in short supply and threatening the momentum of industrial companies, the move towards advanced digital technologies holds the potential to transform the industri service business and strategy.

Dezides AI-powered technical troubleshooting platform helps you:

Instantly transfer skills to new employees

Reduce troubleshooting time

Fix issues on the first visit

Use fewer spare parts and reduce dispatches

Industry service trends

Across industrial companies, there is a focus on capturing and retaining the know-how of the retirement-age experienced workers. Likewise, as the skill-gap increases, the industry is looking to automation, to avoid being left behind when the digital leaders switch their strategy to digitalization.

Instant transfer of skills

We know that attracting, recruiting and retaining talent is extremely difficult and it takes a long time for new technicians to be ready for servicing complex products. And, with some technicians having more than 30 or 40 years of experience, it’s a great challenge for new technicians, with little experience, to get to the required level of know-how and skill to troubleshoot these systems.

It is essential to capture and organize the tacit troubleshooting knoweldge stored in the minds of our best experts, before they retire.

Instant transfer of skills to new technicians

Capture and share troubleshooting knowledge

Learn from operational experience

Dezide allows you to capture expert knowledge in a structured form, which will enable any user who accesses the knowledge base to address issues in the same manner as the experts and troubleshoot like the best.

Dezide supports a better and quicker transfer of skills enabling faster and better training of new technicians.

Tackle high complexity problems

Troubleshoot high-level symtoms using individual component level troubleshooting sub-guides. Indvidual sub-guides are used as “Lego blocks” to build troubleshooting “super guides” that handle difficult situations. The “super guides” will learn about the state of the machine and the context of the troubleshooting scenario and take the engineer to a solution really fast.

integrate with existing IT landscape

Integration with existing infrastructure will ensure that all cases are logged and kept within the current CRM system. We make sure that all relevant data flows between the systems to maximize transparency in the process.

Explain with rich media

As issues can be very tricky and complex in nature, it is vital that each troubleshooting step contains explanations, images, schematics, and videos, to make sure that each technician can follow the details of how to perform any steps in a troubleshooting guide in the best way possible.

5cbfb5d6-keyfeatures1_0ff0bu0fe0bu000000001

Our customers have seen junior technicians outperform their senior colleagues by 30-50%, and up to 70% for the highly complex issues!

Optimize equipment troubleshooting with IoT data

As the industrial internet of things continues to pull more information, construction companies will need tools to manage all this data. In the service department, the potential for increasing troubleshooting efficiency using IIoT data is enormous.

Troubleshooting will certainy have to be handled different if the machine has been operating for 8000 hours vs. 1000 hours. Weather conditions, ambient temperature, seasonal effects and many other factors all have a role in troubleshooting and by injecting that type of data into the process, the troubleshooting system will be able to suggest solutions based the actual state of the current machine in its current environment.

Combine that with machine specific error codes and historical data that can reveal how this particular piece of equipment has been operating over the course of its lifetime and we get a troubleshooting experience designed and optimized for each individual machine, every single time.

By using IoT data, we can take away difficult manual evaluation of complex data and present informed solutions to the users in an optimized way and as such, IoT becomes an integral part of the digital transformation of service.

With Dezide, IoT is not a future vision, it’s happening now, and where many IoT solutions are good at collecting massive amounts if IoT data, Dezide can activate and use that data right now for reducing troubleshooting time.

Optimize-equipment-troubleshooting-with-IoT-data2

“Without this digitalization, we would have continued to work as before relying heavily on technicians being communicative enough to phone in support when/if needed”

Pieter Colen

Process Development Manager, Atlas Copco Compressor Technique

Increase service revenue

We are seeing a shift in key construction industry success factors from a focus on operations to a focus on customer centricity. OEMs find it very important to get a deep understanding of how they create value for their customers and how to build services around this knowledge while being on the technological forefront.

Re-sell your valuabel troubleshooting knowledge base to dealers and customers.

Make it available internationally

Capitalize on organizational expert knowledge

World class service offerings requires a perfect union of data, information and knowledge and the ability to distribute the resulting offerings globally.

Turn the combination of our software platform and your expert troubleshooting knowledge into a revenue generating product.

IIoT machine data integration

SaaS or on-premise hosting

Easy to connect through API

SSO and user provisioning

Salesforce Integration

Some of the companies that already trust us

People Are Reading

Liebherr Mining Equipment Retains Knowledge as the Workforce Increases

As the field service technician workforce is growing and younger generations are being hired, Liebherr-Mining was facing considerable increases in training programs to keep up with service demands.

Read Case

Atlas Copco Compressor Technique transfers skills faster with Dezide

The Compressor Technique Service Division team at Atlas Copco supports a wide range of machinery and models which makes it impossible to be an expert at troubleshooting all equipment and technologies.