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

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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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Why Predictive Maintenance is More Profitable than Reactive Maintenance

Regular maintenance is needed to keep the equipment in your facility operating normally. All machinery has a design lifespan, and your goal is to extend this as long as possible, while maintaining optimal production levels. How you go about the maintenance matters, from routine checks to repairing the damaged component parts?all before the whole unit needs to be tossed away and a new one purchased and installed. Here, we will break down the different approaches used, and show you why more industries and businesses are turning to proactive maintenance modes as opposed to the traditional reactive approaches for their?field service operations.?

Reactive Maintenance: A wait and see game

Here, you basically wait for a problem to occur, then fix it. It’s also commonly referred to as a “Run-to-Failure” approach, where you operate the machines and systems until they break. Repairs are then carried out, restoring it to operational condition.?

At face value, it appears cost-effective, but the reality on the ground is far much different. Sure, when the equipment is new, you can expect minimal cases of maintenance. During this time, there?ll be money saved. However, as time progresses there?ll be increased wear, making reliance on a reactive maintenance approach a costly endeavour. The breakdowns are more frequent, and inconsistent as well. Unplanned expenses increase operational costs, and there will be lost productivity during the periods in which the affected machinery won’t be in operation.?

While reactive maintenance makes sense when you’re changing a faulty light bulb at home, things are more complicated when it comes to dealing with machinery in industries, or for those managing multiple residential and commercial properties. For the light bulb, it’s easier to replace it, and failure doesn’t have a ripple effect on the rest of the structures in the household. For industries, each time there is equipment failure, you end up with downtime, production can grind to a halt, and there will be increased environmental risks during equipment start-up and shutdown. If spare parts are not readily available, there will be logistical hurdles as you rush the shipping to get the component parts to the facility. Add this to overworked clients in a bit to complete the repair and to make up for lost hours and delayed customer orders.

For field service companies, more time ends up being spent. After all, there?s the need of knowing which parts needed to be attended to, where they are, and when the servicing is required. Even when you have a planned-out schedule, emergency repairs that are required will force you to immediately make changes. These ramps up the cots, affecting your operations and leading to higher bills for your client. These inconveniences have contributed to the increased reliance on?field service management platforms that leverage on data analytics and IoT to reduce the repair costs, optimise maintenance schedules, and?reduce unnecessary downtimes?for the clients.

Waiting for the machinery to break down actually shortens the lifespan of the unit, leading to more replacements being required. Since the machinery is expected to get damaged much sooner, you also need to have a large inventory of spare parts. What’s more, the damages that result will be likely to necessitate more extensive repairs that would have been needed if the machinery had not been run to failure.?

Pros of reactive maintenance

  1. Less staff required.
  2. Less time is spent on preparation.

Cons of reactive maintenance

  1. Increased downtime during machine failure.
  2. More overtime is taken up when conducting repairs.
  3. Increased expenses for purchasing and storing spare parts.?
  4. Frequent equipment replacement, driving up costs.?

This ?If it ain’t broke, don’t fix it? approach leads to hefty repair and replacement bills. A different maintenance strategy is required to minimise costs. Proactive models come into focus. Before we delve into predictive maintenance, let’s look at the preventive approach.?

Preventive Maintenance: Sticking to a timetable

Here, maintenance tasks are carried out on a planned routine?like how you change your vehicle?s engine oil after hitting a specific number of kilometres. These tasks are planned in intervals, based on specific triggers?like a period of time, or when certain thresholds are recorded by the meters. Lubrication, carrying out filter changes, and the like will result in the equipment operating more efficiently for a longer duration of time. While it doesn’t completely stop catastrophic failures from occurring, it does reduce the number of failures that occur. This translates to capital savings.??

The Middle Ground? Merits And Demerits Of Preventive Maintenance

This periodic checking is a step above the reactive maintenance, given that it increases the lifespan of the asset, and makes it more reliable. It also leads to a reduced downtime, thus positively affecting your company?s productivity. Usually, an 80/20 approach is adopted,?drawing from Pareto’s Principle. This means that by spending 80% of time and effort on planned and preventive maintenance, then reactive maintenance for those unexpected failures that pop up will only occur 20% of the time. Sure, it doesn’t always come to an exact 80/20 ratio, but it does help in directing the maintenance efforts of a company, and reducing the expenses that go into it.?

Note that there will need to be a significant investment?especially of time, in order to plan a preventive maintenance strategy, plus the preparation and delegation of tasks. However, the efforts are more cost effective than waiting for your systems and machinery to fail in order to conduct repairs. In fact, according to the US Dept. of Energy, a company can save between 12-18 % when using a preventive maintenance approach compared to reactive maintenance.

While it is better than the purely reactive approach, there are still drawbacks to this process. For instance, asset failure will still be likely to occur, and there will be the aspect of time and resource wastage when performing unneeded maintenance, especially when technicians have to travel to different sites out in the field. There is also the risk of incidental damage to machine components when the unneeded checks and repairs are being carried out, leading to extra costs being incurred.

We can now up the ante with predictive maintenance. Let’s look at what it has to offer:

Predictive Maintenance: See it before it happens

This builds on preventive maintenance, using data analytics to smooth the process, reduce wastage, and make it more cost effective. Here, the maintenance is conducted by relying on trends observed using data collected from the equipment in question, such as through vibration analysis, energy consumption, oil analysis and thermal imaging. This data is then taken through predictive algorithms that show trends and point out when the equipment will need maintenance. You get to see unhealthy trends like excessive vibration of the equipment, decreasing fuel efficiency, lubrication degradation, and their impact on your production capacities. Before the conditions breach the predetermined parameters of the equipment’s normal operating standards, the affected equipment is repaired or the damaged components replaced.??

Basically, maintenance is scheduled before operational or mechanical conditions demand it. Damage to equipment can be prevented by attending to the affected parts after observing a decrease in performance at the onset?instead of waiting for the damage to be extensive?which would have resulted in system failure. Using?data-driven?field service job management software will help you to automate your work and optimise schedules, informing you about possible future failures.

Sensors used record the condition of the equipment in real time. This information is then analysed, showing the current and future operational capabilities of the equipment. System degradation is detected quickly, and steps can be taken to rectify it before further deterioration occurs. This approach optimises operational efficiency. Firstly, it drastically reduces total equipment failure?coming close to eliminating it, extending the lifespan of the machinery and slashing replacement costs. You can have an orderly timetable for your maintenance sessions, and buy the equipment needed for the repairs. Speaking of which, this approach minimises inventory especially with regards to the spare parts, as you will be able to note the specific units needed beforehand and plan for them, instead of casting a wide net and stockpiling spare parts for repairs that may or may not be required. Repair tasks can be more accurately scheduled, minimising time wasted on unneeded maintenance.??

Preventive vs Predictive Maintenance?

How is predictive different from preventive maintenance? For starters, it bases the need for maintenance on the actual condition of the equipment, instead of a predetermined schedule. Take the oil-change on cars for instance. With the preventive model, the oil may be changed after every 5000?7500 km. Here, this change is necessitated because of the runtime. One doesn’t look at the performance capability and actual condition of the oil. It is simply changed because “it is now time to change it“. However, with the predictive maintenance approach, the car owner would ideally analyse the condition of the oil at regular intervals- looking at aspects like its lubrication properties. They would then determine if they can continue using the same oil, and extend the duration required before the next oil change, like by another 3000 kilometres. Perhaps due to the conditions in which the car had been driven, or environmental concerns, the oil may be required to be changed much sooner in order to protect the component parts with fresh new lubricant. In the long run, the car owner will make savings. The US Dept. of Energy report also shows that you get 8-12% more cost savings with the predictive approach compared to relying on preventive maintenance programs. Certainly, it is already far much more effective compared to the reactive model.?

Pros of Predictive Maintenance

  1. Increases the asset lifespan.
  2. Decreases equipment downtime.
  3. Decreases costs on spare parts and labour.
  4. Improves worker safety, which has the welcome benefit of increasing employee morale.
  5. Optimising the operation of the equipment used leads to energy savings.
  6. Increased plant reliability.

Cons of Predictive Maintenance

  1. Initial capital costs included in acquiring and setting up diagnostic equipment.
  2. Investment required in training the employees to effectively use the predictive maintenance technology adopted by the company.

The pros of this approach outweigh the cons.?Independent surveys on industrial average savings?after implementing a predictive maintenance program showed that firms eliminated asset breakdown by 70-75%, boosted production by 20-25%, and reduced maintenance costs by 25-30%. Its ROI was an average of 10 times, making it a worthy investment.

Maturing Into CMMI

 

In all likelihood, the reason why you landed on this page was because you were seeking CMMI experts to help you meet the demands of a growing number of potential clients who require CMMI compliance.

Whether or not you’re here for that reason, you might want to know why CMMI or Capability Maturity Model Integration is steadily becoming a common denominator among highly successful software and engineering development companies. If you stay for a while, we can show you how CMMI can substantially increase your organisation’s chances of:

  • reducing development costs;
  • acquiring new customers and retaining old ones;
  • beating deadlines;
  • bringing down development time;
  • increasing the overall quality of your products and services; and
  • improving the level of satisfaction of customers, employees, and all other stakeholders.

Surely, no organisation can be too small or too big to aspire for such benefits of attaining high levels of maturity and capability.

If you want to look beyond Maturity Level ratings, then you’ve come to the right place. We focus on introducing CMMI principles and blending them into your organisation’s culture to achieve a truly superior and sustainable business advantage. Compliance will then be an inevitable offshoot of the actions you make.

Likewise, if you simply want to obtain a deeper understanding of CMMI and learn how it can be applied either to your entire organisation or to specific projects, we’d be happy to assist you in that regard as well.

Finally, when you’re ready, we can also conduct CMMI appraisals either for benchmarking purposes or simply for determining how well your process improvement initiatives are going.

CMMI Consulting

Are you worried that implementing CMMI might entail an overhaul of your current processes? Don’t be.

CMMI is all about improving current processes, not replacing them. Ideally, the final result of all process improvement activities should be hinged on your own business objectives and context, so we’ll make sure it remains that way when we work with you.

We rely on our extensive knowledge and experience in CMMI, engineering, software development, and technologies as well as in change and project management in providing model-based process improvement services. Whether you’re gearing up for an appraisal or simply want to employ CMMI-based practices, these are the things we can do for you.

  • Help you interpret how CMMI can be implemented in relation to your business.
  • Assist in convincing sponsors and stakeholders to support your CMMI implementation initiatives.
  • Introduce the necessary training to all individuals who need to undertake them.
  • Conduct a Gap Analysis to find out where your company’s current processes stand relative to their CMMI specifications.
  • Assemble a process group that will champion your process improvement initiatives. We’ll facilitate effective collaboration among its team members, transforming them into a cohesive force designed to carry out plans and motivate everyone else down the line.
  • Introduce tools and practices that will improve the efficiency of our process improvement initiatives.
  • Carry out periodic evaluations and produce reports to provide sponsors and stakeholders a clear picture of our progress.

CMMI Training

Still not convinced CMMI is right for you? There’s only one way to fully grasp the benefits of implementing CMMI – take the Introduction to CMMI course. Although what happens next is entirely up to you, we’re pretty sure you’ll make the right decision after passing it.

Do you need to include people from your organisation in a SCAMPI (Standard CMMI Appraisal Method for Process Improvement) team? They’ll have to undergo this course too. The Introduction to CMMI is for systems and software engineering managers and practitioners, appraisal team members, process group members, and basically anyone who want to grasp CMMI fundamentals.

This is what you’ll be able to do after going through 3 days of lectures and exercises:

  • Gain a deeper understanding of the various components of CMMI-DEV models and their relationships.
  • Discuss the process areas in CMMI-DEV models.
  • Extract and interpret aspects in the model relevant to your own organisation’s processes.

We also offer highly specialised training and workshops such as those for:

  • Achieving High Maturity Levels
  • Top Executives
  • Team Building in Preparation for Appraisals

CMMI Appraisal

An organisation new to CMMI will want to know first how far their current processes are relative to the implementation of model-based improvements in order to determine the resources and time that have to be spent to get there.

Similarly, an organisation already well acquainted with CMMI and has begun taking steps in improving processes, will eventually want to know how close it has come to the Maturity Level it has aimed for.

In both cases, these organisations will have to be assessed by a qualified CMMI appraiser to obtain an accurate picture of their current status. We can perform appraisals on either your entire organisation or on specific projects/practices within a process area. Our appraisers can conduct the following SCAMPI (Standard CMMI Appraisal Method for Process Improvement) appraisals:

  • SCAMPI Class A – This is what you’ll need if you’re aiming for a level rating.
  • SCAMPI Class B – You may want to use this for process reviews or for preparing for a SCAMPI Class A.
  • SCAMPI Class C or Gap Analysis – We typically conduct this for organisations who have yet to implement CMMI-based initiatives so that they can design the most cost-effective road map for the implementation proper.
The Cloud: Changing the Game for Small Businesses

There is a consensus among cloud experts that the onset of cloud computing will benefit small organisations the most. In fact, many even go as far as saying that the cloud and small businesses are a match made in IT heaven. How much of this is true and how much of this is merely part and parcel of the hype surrounding cloud computing?

The Cloud as the Great?Equaliser

If you closely examine the essential characteristics of cloud computing, particularly public cloud services, you will see why small organisations would be very interested in the cloud, and would eventually flock to it, like moths to a flame. And why not? Cloud computing is turning out to be the weapon that can allow small and medium organisations to compete on a more level playing field against large enterprises.

Here are some cloud computing benefits that may just close the gap between the two.

  • Significantly lower IT spending. With little to no investment at all on hardware infrastructure and practically zero maintenance costs, SMBs that would have required substantial capital for IT are now finding it easy to get a business started from scratch or develop and test out new products by using the cloud as the backbone of their IT set-up. The pay-as-you-go pricing scheme that cloud computing offers allows companies to start small and scale up as needed, or when the revenue starts coming in.
  • Higher employee productivity. Licensing fees for software applications can run high even if you don’t have a large staff. Good thing there are now a host of cloud-based office tools – word processors, spreadsheets, presentations, accounting systems, etc. – that can boost employee productivity without the corresponding costs that small businesses can ill afford. Plus, team members in remote locations can continue to collaborate with the rest through any internet-connected device in real time.
  • Easier, better communication. The easy accessibility of communication apps has also changed the way employees interact with fellow employees and more importantly, with customers. Whether through email, instant messaging, or social networks, cloud services have given individuals and businesses more ways of giving and getting feedback. The best thing about it is that most of these services don’t cost much or are even free, giving SMBs ample tools to create better products and improve service.
  • A Look at the Figures Many small businesses are already seeing the potential in the cloud, with SaaS (Software as a Service) applications most commonly used among the early adopters. These services include email and other communication apps, file sharing, and backup.

In a February 2012 Edge Strategies survey (commissioned by Microsoft) of 3,000 small businesses in the US, the following data came to light:

  • The number of small companies with 2 to 10 employees using paid cloud services will triple in the next three years;
  • Current cloud users report purchasing an average of 4 services in the cloud now and expect to use 6 in the future;
  • Fifty percent agree that cloud computing is going to become more important for businesses such as theirs.

Further, a survey of 323 SMBs recently released by social business site Spiceworks and sponsored by EMC reveals that from 48 percent at the start of 2012 and 28 percent a year ago, 62 percent of the businesses surveyed now use some type of cloud app.

What these numbers show is that cloud adoption among small and medium enterprises is starting to gain ground and for sure, more will do the same as understanding and awareness increase. Yes, these businesses should still perform their due diligence as there is no one-size-fits-all cloud solution. But for those companies who have managed to find the right cloud apps and services for their needs, it’s all sunny skies up ahead.

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