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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Spreadsheet Woes – Burden in SOX Compliance and Other Regulations

End User Computing (EUC) or end User Developed Application (UDA) systems like spreadsheets used to be ideal ad-hoc solutions for data processing and financial reporting. But those days are long gone.

Today, due to regulations like the:

  • Sarbanes-Oxley (SOX) Act,
  • Dodd-Frank Act,
  • IFRS (International Financial Reporting Standards),
  • E.U. Data Protection Directive,
  • Basel II,
  • NAIC Model Audit Rules,
  • FAS 157,
  • yes, there?s more ? and counting

a company can be bogged down when it tries to comply with such regulations while maintaining spreadsheet-reliant financial and information systems.

In an age where regulatory compliance have become part of the norm, companies need to enforce more stringent control measures like version control, access control, testing, reconciliation, and many others, in order to pass audits and to ensure that their spreadsheets are giving them only accurate and reliable information.

Now, the problem is, these control measures aren’t exactly tailor-made for a spreadsheet environment. While yes, it is possible to set up a spreadsheet and EUC control environment that utilises best practices, this is a potentially expensive, laborious, and time-consuming exercise, and even then, the system will still not be as foolproof or efficient as the regulations call for.

Testing and reconciliation alone can cost a significant amount of time and money to be effective:

  1. It requires multiple testers who need to test spreadsheets down to the cell level.
  2. Testers will have to deal with terribly disorganized and complicated spreadsheet systems that typically involve single cells being fed information by other cells in other sheets, which in turn may be found in other workbooks, or in another folder.
  3. Each month, an organisation may have new spreadsheets with new links, new macros, new formulas, new locations, and hence new objects to test.
  4. Spreadsheets rarely come with any kind of supporting documentation and version control, further hampering the verification process.
  5. Because Windows won’t allow you to open two Excel files with the same name simultaneously and because a succession of monthly-revised spreadsheets separated by mere folders but still bearing the same name is common in spreadsheet systems, it would be difficult to compare one spreadsheet with any of its older versions.

But testing and reconciliation are just two of the many activities that make regulatory compliance terribly tedious for a spreadsheet-reliant organisation. Therefore, the sheer intricacy of spreadsheet systems make examining and maintaining them next to impossible.

On the other hand, you can’t afford not to take these regulations seriously. Non-compliance with regulatory mandates can have dire consequences, not the least of which is the loss of investor confidence. And when investors start to doubt the management’s capability, customers will start to walk away too. Now that is a loss your competitors will only be too happy to gain.

Learn more about our server application solutions and discover a better way to comply with regulations.

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Spreadsheet Woes – Limited features for easy adoption of a control framework


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Why Spreadsheets can send the pillars of Solvency II crashing down

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Benefits of Energy Savings Opportunity Scheme (ESOS)

More than just building energy, improving skills and undertaking audits, Energy Savings Opportunity Scheme works beyond. ESOS adheres to policy coherence, provides information to raise awareness, facilitates energy efficiency market and encourages adoption of appropriate energy efficiency measures.

Generally, ESOS is great for energy professionals and businesses. And in the current situation of UK?s energy industry, this new scheme is a substantial help. The key is to know the benefits that ESOS provides, understand how it can affect you, learn how to maximise its potential and make a big difference. Here?s to explore the highlights of ESOS.

Who benefits from ESOS?

Energy Savings Opportunity Scheme covers non-SME enterprises which includes UK businesses having more than 250 employees; even those with employees fewer than 250 but have annual turnover of more than ?50m and balance sheet exceeding ?43m; or those professionals that belong to a large enterprise. This is in accordance with what Article 8 of the EU Derivative provides.

What are the benefits of ESOS?

ESOS provides opportunities to enhance an organisation’s energy efficiency strategy, of which the benefits include:

Economic Growth and Competitiveness

The implementation of energy efficient measures increases local employment in the labour markets. Consequently, this taps the labour potential and drives economic growth.? In a lower carbon economy, businesses need to develop green projects to maintain economic competitiveness as well. ESOS is strategic approach initiated by the UK government to push technological innovation and energy investments.

Cost Savings and Emission Reductions

ESOS is flexible in such a way that it combines energy policies and innovations tailored to every organisation’s need. The energy efficiency measures taken, resulting from the scheme, quickly cuts down both carbon emissions and energy bills at cheapest possible ways.

Managing Energy Demand

ESOS provides energy security to UK by reducing the energy consumption of enterprises. With this, the economy would be more efficient and less exposed to international energy market volatility. Also, this will lead to more savings from less future investment in energy infrastructure.

Getting your Management Performance Noticed

If you are an energy professional, you will benefit from ESOS by exploiting it ?to boost your charisma towards the company directors. You can show them how the scheme works and how it can save your company substantial costs. Managing energy with ESOS can help an organisation grow. Nevertheless, you are the key person designated to get the project done and achieve success.

How can ESOS make a difference?

More than anything else, ESOS can make a huge change. True to its name, it provides large enterprises the opportunity to manage energy wisely, reduce overhead costs and promote responsible corporate energy consumption.

The International Energy Agency said that investing in energy efficiency leads to growth, additional jobs, competent budgets on public spending and enhanced industry productivity. If you are an energy and environment professional or a non-SME business entity, you hold the impulse to act. Aside from all those excellent business benefits that you get to enjoy, you will be able to contribute a portion towards achieving UK?s national carbon target of 80% in CO2 by 2050.

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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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