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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Saving Energy Step 1 ? Implementing a Management System

There has been much hype down the years regarding whether management is art or science. Thankfully, where people are concerned the pendulum has swung away from standard times in sweatshops in the west. However, when it comes to measuring physical things like harvest per square meter and the amount of energy consumed there is no substitute for scientific measurement, and this implies a system.

Managing energy cost and consumption down is like any other strategy. American engineer / statistician / management consultant W. Edwards Demming may have passed on in 1993. However he was as right as ever when he said:

  1. When people and organizations focus primarily on quality, this tends to increase and costs fall over time.
  1. However, when people and organizations focus primarily on costs, costs tend to rise and quality declines over time.

Demming believed that 90% of organizational problems arise from systems we put in place ourselves. This can be because we are so accustomed to them that we fail to notice when they are no longer relevant. The currently prevailing laissez faire towards energy is a case in point. What is managed improves and what is not, deteriorates. We know this. Let us take a look at how to apply this principle to energy management.

First, you need to get the subject out the closet and talk about it. How often do you do this is your boardroom, and how does energy rank against other priorities? Good governance is about taking up a position and following through on it. Here is a handy checklist you may like to use.

  • Do we use a consistent language when we talk about energy? Is it electricity, or carbon emitted (or are we merely fretting over cost).
  • How well engaged are we as a company? Looking up and down and across the organization are there points where responsibility stops.
  • How well have we defined accountability? Do we agree on key performance areas and how to report on them.
  • Are we measuring energy use at each point of the business? When did we last challenge the assumption that ?we’re doing okay?.
  • Have we articulated our belief that quality is endless improvement, or are we simply chasing targets because someone says we should.

A management system is a program of policies, processes and methods to ensure achievement of goals. The next blog focuses on tools and techniques that support this effort.

ESOS Facts on a Page

The UK?s ESOS energy saving program stands for ?Energy Savings Opportunity Scheme?. Its purpose is to reduce demand – and hence fossil-based pollution at both ends of the supply chain. It currently applies to large UK companies only. However its guidelines are also valuable input to smaller firms voluntarily going greener.

The program threshold is 250 employees and / or turnover or at least ?UK50 million. This affects approximately 9,000 UK firms, with others below the threshold wondering whether the government plans to lower it. In essence, ESOS requires that qualifying businesses complete comprehensive audits of energy use and opportunities at least every fourth year.

The plan is carrot and stick. Compliant companies will probably uncover significant savings when they stop and measure. They may even unearth carbon credits they can sometime exchange for cash. Reactionary firms who try to duck the issue will feel Her Majesty?s wrath through stiff penalties. In time, they may find it harder to attract investors. If ESOS affects your company, then the wise thing could be complying by the first deadline of 5 December 2015.

To do so, you must conduct an energy audit and report it to the UK Environment Agency. This comprises

  1. Measuring total energy use across processes, transport and facilities
  2. Pie charting 90% of this to identify areas that are energy intensive
  3. Singling out cost-effective energy-saving projects in high use areas
  4. Submitting your report to the Environment Agency ahead of the deadline

ecoVaro recommends affected companies do not leave this to the last minute. While having ISO 50001 may exempt some from ESOS, the regulations are far from straightforward and it will take months to reach complete clarification. We would like to suggest a more balanced approach.

ESOS is a wonderful incentive to save energy costs while contributing to a better future for the kids. The Energy Savings Opportunity Scheme is precisely that. The cost of energy has crept up on us to the extent that we have to do something, government or no government.

Measuring energy consumption is as simple as installing meters at critical points in the flow, and you probably have many of them anyway. Once you have your data you no longer have to crunch the numbers. ecoVaro can do this for you and return the result in the form of handy graphs and spreadsheets.

Directions Hadoop is Moving In

Hadoop is a data system so big it is like a virtual jumbo where your PC is a flea. One of the developers named it after his kid?s toy elephant so there is no complicated acronym to stumble over. The system is actually conceptually simple. It has loads of storage capacity and an unusual way of processing data. It does not wait for big files to report in to its software. Instead, it takes the processing system to the data.

The next question is what to do with Hadoop. Perhaps the question would be better expressed as, what can we do with a wonderful opportunity that we could not do before. Certainly, Hadoop is not for storing videos when your laptop starts complaining. The interfaces are clumsy and Hadoop belongs in the realm of large organisations that have the money. Here are two examples to illustrate the point.

Hadoop in Healthcare

In the U.S., healthcare generates more than 150 gigabytes of data annually. Within this data there are important clues that online training provider DeZyre believes could lead to these solutions:

  • Personalised cancer treatments that relate to how individual genomes cause the disease to mutate uniquely
  • Intelligent online analysis of life signs (blood pressure, heart beat, breathing) in remote children?s hospitals treating multiple victims of catastrophes
  • Mining of patient information from health records, financial status and payroll data to understand how these variables impact on patient health
  • Understanding trends in healthcare claims to empower hospitals and health insurers to increase their competitive advantages.
  • New ways to prevent health insurance fraud by correlating it with claims histories, attorney costs and call centre notes.

Hadoop in Retail

The retail industry also generates a vast amount of data, due to consumer volumes and multiple touch points in the delivery funnel. Skillspeed business trainers report the following emerging trends:

  • Tracing individual consumers along the marketing trail to determine individual patterns for different demographics and understand consumers better.
  • Obtaining access to aggregated consumer feedback regarding advertising campaigns, product launches, competitor tactics and so on.
  • Staying with individual consumers as they move through retail outlets and personalising their experience by delivering contextual messages.
  • Understanding the routes that virtual shoppers follow, and adding handy popups with useful hints and tips to encourage them on.
  • Detecting trends in consumer preferences in order to forecast next season sales and stock up or down accordingly.

Where to From Here?

Big data mining is akin to deep space research in that we are exploring fresh frontiers and discovering new worlds of information. The future is as broad as our imagination.?

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