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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Energy Audit – clearly clear?

An energy audit is an examination of an energy system to ensure that energy is being used efficiently. It is the inspection, survey and analysis of energy flows for energy conservation in a building. Energy audits can be conducted by building managers who examine the energy account of an energy system, checks the way energy is used in its various components, checks for areas of inefficiency or where less energy can be used, and identifies the means for improvement.

An energy audit is often used to identify cost effective ways to improve the comfort and efficiency of buildings. In addition, homes/ enterprises may qualify for energy efficiency grants from central government. Energy audits seek to prioritise the energy uses from the greatest to least cost effective opportunities for energy savings.

An energy audit is an effective energy management tool. By identifying and implementing improvements as identified, savings can be achieved not only on energy bills, but also equipment will be able to attain a longer life under efficient operation. All these mean actual dollar savings.

An energy audit has to be conducted by a competent person with adequate technical knowledge on building services installations, after which he/she comes up with a report recommending plans on the Energy Management Opportunities (EMO) for energy saving.

An energy audit culminates to a written report. This could show energy use for a given time period (for example a year) and the impact of any suggested improvements per year. Energy audit reports are then used to identify cost effective ways to improve the comfort and efficiency of buildings. The energy audit report therefore gives management an understanding of the energy consumption scenario and energy saving plans formulation.
Energy audit reports should always translate into action. No matter how well articulated, the energy management objectives are afterall, an energy audit (EMOs), all the effort will be futile if no action is taken. The link between the audit and action is the audit report. It is therefore important for the audit reports to be understandable for all the target audiences/ readers, all of whom may have diverse needs, hence the reason why they should be clear, concise and comprehensible.

What are the do?s and don’ts when writing energy audit reports?

Avoid technical jargon as much as possible; present information graphically; use different graphics such as pie charts, data tables. Schematics of equipment layouts and digital photos tend to make EMO reports less dry. Some of the energy audit software?s come in handy in the generation of such graphs and charts.
The climax of it all is the recommendations, which should be made very fascinating.

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Can you do away with the Project Initiation Meeting?

Project initiation meetings are often skipped to fast-track projects. Once a sponsor is found, organisations go straight to project planning and execution. But based on our own experience, holding a project initiation meeting can actually eliminate many issues that may crop up in the future and hence may speed things up instead in the long run.

It is in the project initiation meeting where your project objectives and scope are clarified and all stakeholders are brought to the same page. Project sponsors and stakeholders will have to know in a nutshell what is needed from them, what the possible risks are, what different resources are required, and so on. So that, when it’s time to proceed to the next phase, everyone is already in-sync.

So what are taken up in such a meeting? Perhaps an actual example can help. Sometime in the past, we set out to work on an eCommerce website project. After conducting the project initiation meeting, these were some of the things we were able to accomplish:

  • Identified deliverables e.g. site design, interface to payment system, etc.
  • Come up with the project phases
  • Agreed what should be in and out of scope
  • Defined the acceptance test criteria
  • Identified possible risks
  • Identified the possible training and documentation work needed
  • Established whether any analysis was required, e.g. as with regards to payment interfaces
  • Formulated disaster recovery plans
  • Defined roles and responsibilities
  • Drafted timelines and due dates

Aren’t these covered in project planning? If the project is a big one, the answer is no. In a large project, project planning is a much more exhaustive activity. In a project initiation meeting, only the basic framework is defined.

Some questions may still remain unanswered after a project initiation meeting, but at least you already know what answers you need to look for. In the example we gave earlier, we left the meeting knowing that we needed:

  • a list of all necessary hardware to estimate the costs
  • to identify possible dependencies we might have with third parties
  • to identify what software had to be bought and what skills we needed to hire

When it was time to proceed to project planning, everyone involved already knew what direction we were taking. In effect, by not skipping the project initiation meeting, we were able to avoid many potential obstacles.

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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