How AI Helps Improve Field Service

Its seems that with the current rate of technological innovation that these is something new every single day.  Therefore, you’re always looking forward to a new technological innovation that’s going to help you make your business operations more efficient and automated.

One of the most fascinating milestones in the field of technology is the integration of Artificial Intelligence (AI) in business. In one way or the other, AI gives a glimpse of machine supremacy that allows computers to perform tasks that were initially performed by humans. 

Are machines going to completely replace people in the workplace?

Of course, not.  Technologies like AI and Machine Learning are designed and meant to support employees in doing their tasks too boost their productivity.

AI is predominantly used to eliminate jobs and tasks that humans find boring, demotivating or monotonous. In some cases AI is also used to do jobs that are considered dangerous for humans to preform.

Previously the most common implementations for AI were all about gaming, entertainment, and advanced science,  now it’s spreading into a number of industries including the field service industry.

FieldElite – Field Service Software , can help you optimise the day-to-day operations of your business.

AI in field service management will enhance you business capabilities with:

  • Information Sharing
  • Real Time Updates
  • Automated Workflows
  • Digital Form Data Collection
  • Data Analysis

Improved Customer Service

For Service Based companies, customer retention is vital. Primarily because It can be 5-25 times more costly to acquire a new customer than it is to retain an existing ones.

Therefore customer retention should be a primary focus.? The good news is that by making use of AI you can implement services It can be 5-25 times more costly to acquire a new customer than it is to retain an existing one.

Staying on top of and ensuring you satisfactorily address and meet you customer demands and expectations can be a daunting task.? It can also be an expensive one,? especially for small field service based businesses like :

  • Heating & Plumbing Engineers
  • Electrical Contractors
  • Fire Safety Inspectors
  • HVAC Engineers
  • Facility Management
  • Building, Construction & Trade

Implementing Artificial Intelligence and Machine Learning to automate mundane and repetitive customer administration tasks will enable your staff to be free to provide additional value added tasks for your customers. Making your customers happier.

?Think about the active Chatbots. You can always get complaints directly from customers and address them right away.??

If at any point the customer is unhappy with your services, they can always raise the issue via the Chatbots. Since the bots contain necessary customer information, you can always get back to them and fix the issue at hand.?

With AI in field service, you can solve problems before they arise, or what is otherwise known as predictive maintenance,? In that way, you’ll have better customer relations because you’ll be able to address your customer concerns before they even become aware of them.

Improved Productivity

Scheduling tasks and managing the workforce isn’t a walk in the park. It goes beyond assigning tasks to your team members in the field and giving them deadlines to meet. Whether it’s a small firm or a big organisation, it’s quite difficult to organise the workforce.?

However, adopting Artificial Intelligence can iron out the difficulties most field organisations face in scheduling and managing tasks. Some years back, most firms relied on human intelligence to dispatch jobs to the right people based on given conditions. This was quite difficult, especially that it wasn’t always successful. But thanks to AI. With field service apps like FieldElite scheduling tasks and managing workforce is only a few clicks away.?

What’s more? There?s no room for error. Therefore, you’ll always match the right people for the job. Again, your team will always get tasks on time. That means, the job completion rate will go up, and hence the workforce becomes more productive.?

Predictive Maintenance

Usually, most business operations are based on ?solve the problem as it occurs?, which is just OK. However, it’s not always safe to wait until a problem occurs so that you solve it. Prevention is better than cure, and that’s why Artificial Intelligence comes handy in Field Service.

Using FieldElite Workforce Management Software , you don’t have to wait until something breaks.? Utilizing AI in field service enables you to proactively address field service needs and prevent unforeseen failures and interruptions.?

The ability to predict field service needs through field service apps like FieldElite enables you to make more accurate forecasts. In this way, resource planning is made easier, and as such, you’ll have smoothly running workflows. Again, by taking care of unforeseen circumstances in advance, you’re flexible enough to take care of the unexpected. And that means the overall productivity of your business will go up.

Job Management

Most field service jobs involve multiple stages that can take several days to complete. In addition to this, more often than not, you have to coordinate lots of equipment and contractors at the same time. All these can’t be achieved solely by human efforts. For more successful outcomes, it’s important to incorporate Artificial Intelligence in your field service operations.?

FieldElite is the field service solution that can help you manage sophisticated tasks. The app is packed with field service management tools that enable you to assign complicated tasks and keep track of your field techs. For long-cycle jobs, FieldElite app enables you to follow up on the activities going on the field to ensure they’re completed.?

With AI, there?s no room for error even when the jobs become more sophisticated.

Data Analysis

?

Field service industry involves lots of data. Some years back, organisations depended on human intelligence to analyse big data. Well, things still worked out, but as a human is to err, the outcome wasn’t always perfect. However, with Artificial Intelligence data analysis, 100% accuracy in data analysis is achievable. Field service solutions like FieldElite provide sophisticated data analytic tools that enable you to crack massive data and offer accurate solutions.?

FieldElite data analytics capabilities give you an insight into what’s not working and what needs to be improved. In that way, you can always address matters arising and take care of the loopholes.?

It’s time to go paperless with field management software like FieldElite if you?d like to make your business more profitable. Apart from improving the productivity of your workforce, incorporating AI in your business increases profitability. If you’re still doing your usual field rounds with a clipboard, it’s time to simplify your task with FieldElite app.?

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Failure Mode and Effects Analysis

 

Any business in the manufacturing industry would know that anything can happen in the development stages of the product. And while you can certainly learn from each of these failures and improve the process the next time around, doing so would entail a lot of time and money.
A widely-used procedure in operations management utilised to identify and analyse potential reliability problems while still in the early stages of production is the Failure Mode and Effects Analysis (FMEA).

FMEAs help us focus on and understand the impact of possible process or product risks.

The FMEA method for quality is based largely on the traditional practice of achieving product reliability through comprehensive testing and using techniques such as probabilistic reliability modelling. To give us a better understanding of the process, let’s break it down to its two basic components ? the failure mode and the effects analysis.

Failure mode is defined as the means by which something may fail. It essentially answers the question “What could go wrong?” Failure modes are the potential flaws in a process or product that could have an impact on the end user – the customer.

Effects analysis, on the other hand, is the process by which the consequences of these failures are studied.

With the two aspects taken together, the FMEA can help:

  • Discover the possible risks that can come with a product or process;
  • Plan out courses of action to counter these risks, particularly, those with the highest potential impact; and
  • Monitor the action plan results, with emphasis on how risk was reduced.

Find out more about our Quality Assurance services in the following pages:

What Heijunka is & How it Smooths Call Centre Production

The Japanese word Heijunka, pronounced hi-JUNE-kuh means ?levelling? in the sense of balancing workflows. It helps lean organizations shift priorities in the face of fluctuating customer demand. The goal is to have the entire operation working at the same pace throughout, by continuously adjusting the balance between predictability, flexibility, and stability to level out demand.

Henry Ford turned the American motor manufacturing industry upside down by mass-producing his iconic black motor cars on two separate production lines. In this photograph, body shells manufactured upstairs come down a ramp and drop onto a procession of cars almost ready to roll in 1913.

Smoothing Production in the Call Centre Industry

Call Centres work best in small teams, each with a supervisor to take over complex conversations. In the past, these tended to operate in silos with each group in semi-isolation representing a different set of clients. Calls came through to operators the instant the previous ones concluded. By the law of averages, inevitably one had more workload than the rest at a particular point in time as per this example.

Modern telecoms technology makes it possible to switch incoming lines to different call centre teams, provided these are multi-skilled. A central operator controls this manually by observing imbalanced workflows on a visual system called a Heijunka Box. The following example comes from a different industry, and highlights how eight teams share uneven demand for six products.

This departure from building handmade automobiles allowed Henry to move his workforce around to eliminate bottlenecks. For example, if rolls of seat leather arrived late he could send extra hands upstairs to speed up the work there, while simultaneously slowing chassis production. Ford had the further advantage of a virtual monopoly in the affordable car market. He made his cars at the rate that suited him best, with waiting lists extending for months.

A Modern, More Flexible Approach

Forces of open competition and the Six Sigma drive for as-close-to-zero defects dictates a more flexible approach, as embodied in this image published by the Six Sigma organisation. This represents an ideal state. In reality, one force usually has greater influence, for example decreasing stability enforces a more flexible approach.

Years ago, Japanese car manufacturer Toyota moved away from batching in favour of a more customer-centric approach, whereby buyers could customise orders from options held in stock for different variations of the same basic model. The most effective approach lies somewhere between Henry Ford?s inflexibility and Toyota?s openness, subject to the circumstances at the moment.

A Worked Factory Example

The following diagram suggests a practical Heijunka application in a factory producing three colours of identical hats. There are two machines for each option, one or both of which may be running. In the event of a large order for say blue hats, the company has the option of shifting some blue raw material to the red and green lines so to have the entire operation working at a similar rate.

Predictability, Flexibility, and Stability at Call Centre Service

The rate of incoming calls is a moving average characterised by spikes in demand. Since the caller has no knowledge whether high activity advisories are genuine, it is important to service them as quickly as possible. Lean process engineering provides technology to facilitate flexibility. Depending on individual circumstances, each call centre may have its own definition of what constitutes an acceptably stable situation.

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IT Systems Implementation

Are you ready to find out how your newly accepted IT system fares in the real world? Although a rigorous Acceptance testing process can spot a wide spectrum of flaws in a newly constructed IT system, there is no way it can identify all possible defects. The moment the IT system is delivered into the hands of actual end users and other stakeholders, it is effectively stepping out of a controlled and secure environment.

Thus, it is during this phase wherein issues having direct impact on the business can arise.

It is our duty to ensure that the Systems Implementation phase is carried out as thoroughly, professionally, and efficiently as possible.

Thoroughly, because we need to include all relevant data and other deliverables, eliminate hard-to-detect miscalculated results, and substantially reduce the probability of business and mission critical issues popping up in the future;

Professionally, because it is the best way to address the sensitive process of turning over a new system to users who have gotten used to the old one;

And efficiently, because we want to minimise the duration over which all stakeholders have to adapt to the new system and allow them to move on to the process of growing the business.

Preparation

Louis Pasteur once said, “Luck favours the mind that is prepared.”

While we certainly won’t leave anything to chance, we do put substantial weight on the Preparation stage of Systems Implementation. We’re so confident with the strategies we employ in Preparation, that we can assure you of an utterly seamless Deployment and Transition phase.

By this we mean that issues that may arise during Deployment and Transition will be handled smoothly and efficiently because your people will know exactly what to do.

Here’s how we will prepare your organisation for Deployment:

  • Identify all key players for the Systems Implementation phase and orient them on their specific roles. We’ll make sure they know what possible hitches may come their way and how to deal with them.
  • Identify all end users and their corresponding functions, then assign appropriate access rights.
  • Draw multi-layered contingency plans to capture and address each possible concern that may crop up during Deployment.
  • Prepare a systematic step-by-step procedure and checklist for the entire Deployment stage. Both of them should have been copied from a similar procedure and checklist used in the Acceptance testing phase.
  • Make all stakeholders understand the conditions required before Deployment can commence.
  • Set the appropriate environment so that all stakeholders know what to expect and when to expect them the moment Deployment commences.
  • Prepare Technical Services and Technical Support personnel for the gruelling mission ahead.
  • Make sure all communication processes are well coordinated so that everyone affected will know who to contact and how to get in touch with them when a problem arises.
  • Plan and schedule training sessions so that they can be conducted “just in time”. Training sessions conducted way ahead of Deployment are often useless because the trainees tend to forget about what they learned when the time comes to apply them. Similarly, training sessions conducted way after Deployment also become useless because trainees are seldom able to internalise instructions delivered during crash courses.

Deployment

There are two sets of issues to keep an eye on during Deployment:

  1. Issues directly related to the technology itself, e.g. application functionality and data integrity, and
  2. Issues emanating from the end users, i.e., their unwillingness to use the new system. One reason may be because they find the interface and procedures too confusing. Another would be due to other inconveniences that come with adapting to a new set of procedures.

Despite all the meticulous scrutiny employed during Acceptance testing, there are just some problems that are made obvious only during Deployment. Issues belonging to the first set are dealt with easily because of the plans and procedures we put in place during the Preparation stage. As an added measure, our team will be on hand to make sure contingency plans are executed accordingly.

While the second set of issues is often neglected by many IT consultancy companies, we choose to meet it head on.

We fully understand that end users are most sensitive to the major changes that accompany a new system. It is precisely for this reason why our training activities during Deployment are designed not only to educate them but also to make them fully appreciate the necessity of both the new system and the familiarisation phase they will need to go through.

The faster we can bring your end users to accept the new system, the faster they can refocus on your company’s business objectives.

Here’s what we’ll do to guarantee the smoothest Deployment process you’ve ever experienced.

  • Employ the procedure and checklist formulated during the Preparation stage.
  • Ensure all end users are well acquainted with any additional tasks they would need to perform (e.g. filling up manual logs).
  • Assess which legacy systems can still be used alongside the new technology and which ones have to be retired.
  • Supervise the installation and optimal configuration of all supporting hardware and software to make sure the likelihood of errors originating from them are brought to near-zero levels.
  • Supervise the installation and optimal configuration of the products themselves.
  • Carry out data migration tasks if necessary.
  • Organise and oversee parallel runs to check for data and report inconsistencies.
  • Conduct training sessions in a professional and well-timed manner to eliminate end-users’ feelings of agitation and to take advantage of memory absorption and retention duration as with regards to their assigned duties and responsibilities.

Transition

Do you often feel uneasy whenever the reins to a newly purchased IT system are handed over to you? Perhaps there are some issues that you feel haven’t been fully settled but, at the same time, find it too late to back out, having already invested so much time and resources.

Alright, so maybe the thought of “backing up” never crossed your mind. However, the concern of being “not yet ready” is raised by many organisations towards the tail end of most Deployment stages. This usually drags the Deployment stage into a never-ending process.

Our team of highly experienced specialists will make sure you reach this point with utmost confidence to proceed on your own.

To wrap up our comprehensive IT Systems Implementation offering, we’ll take charge of the following:

  • Verify that all deliverables, including training materials and other technical documentation, are accomplished and expected outcomes are realised.
  • Make sure all technical documentation are placed in a secure and accessible location.
  • Institute best practices to ensure the IT system becomes fully utilised and to reduce its exposure to avoidable risks.
  • Establish open communication lines with the Technical Support team to enable quick resolution of issues.
  • Ensure complete knowledge transfer has been fully achieved so that your people will spend less time calling Technical Support and more on operations contributory to business growth.

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