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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Spreadsheet Reporting – No Room in Your Company in an Age of Business Intelligence

It doesn’t take a genius to understand why spreadsheet reporting still pervades the enterprise despite the rise of a complex but highly effective IT solution known to big shot CIOs as Business Intelligence or BI.

If you’re still in the dark as to what BI is, don’t worry because we?ll enlighten you shortly.

Business decisions from disparate data sources

In the meantime, let’s talk about how you make business decisions. If you’re a top executive, then you make decisions based largely on reports submitted to you by your managers, department heads, and so on. They in turn obtain information from different sources, like the company ERP and CRM as well as other external sources (e.g. market surveys).

Now, before their reports ever reach your desk, a lot of data is extracted, shared, filtered, analysed, consolidated, and summarised so that they become actionable information. In all these activities, one software tool gets to take part in most of the action – the spreadsheet.

The problem with spreadsheet reporting

The problem with spreadsheets is that they have very poor built-in controls. Thus, they are susceptible to human errors and are vulnerable to fraud. What’s more, collecting data and manually consolidating them into spreadsheets can be very laborious and time consuming.

If you don’t get accurate, reliable information, your judgement will be fuzzy and your business decisions compromised. In addition, if you don’t receive the information you need on time, your business will constantly be at risk of breaching critical thresholds, which may even force it to spin out of control.

Business Intelligence – actionable information on time

This is mainly the reason why large companies implement Business Intelligence systems. BI systems are equipped with built-in features like reports, dashboards, and alerts.

Reports consolidate data and present them in a consistent format composed of intuitive text, graphs, and charts. The main purpose of having a consistent format is so that you will know what kind of information to expect and how the information is arranged. That way, you don’t waste time searching or making heads or tails out of the data in front of you.

Dashboards, on the other hand, present information through visual representations composed of graphs and gauges that are aimed at tracking your business metrics and goals. The main function of dashboards is to feed you with actionable information at a glance.

Finally, alerts keep you informed when certain conditions are met or critical thresholds are breached. Because their main purpose is to prompt you at the soonest possible time wherever you are, a typical alert can come in the form of an SMS message or an email.

As you can see, all three features are designed to get you making well-informed decisions as quickly as possible.

The problem with Business Intelligence and the alternative solution

The usual problem with full BI systems is that they can be very costly. Hence, if your organisation does end up implementing one, chances are, not everyone under you will be able to access it. As a result, some departments will be forced to go back to using spreadsheets.

If your company cannot afford a full BI system, then that probably means you don’t need one. What you need is a more affordable alternative. There are actually Software as a Service (SaaS) Business Intelligence solutions that may not be as comprehensive as a full BI system, but which may suffice for small and mid-sized businesses.

The disadvantages of spreadsheets are more damaging than you could have ever expected. Be free of it now.

 

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Spreadsheet Reporting – No Room in your company in an age of Business Intelligence

 

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Spreadsheet woes – ill equipped for an Agile Business Environment

 

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Why Spreadsheets can send the pillars of Solvency II crashing down

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IT Transformation Defined

Businesses depend on IT to effectively manage business processes and to provide products and services to clients. As IT technologies advance, it is crucial that businesses update their hardware to remain competitive. But businesses should do more than simply upgrade their servers and should really strive to effect IT transformation.

What is IT Transformation?

IT transformation is the ongoing process of changing the way that a company uses IT to better align it with current business goals. Through the IT transformation process, businesses try to determine whether they are meeting mission-critical benchmarks through the incorporation of new IT technologies for corporate transformation.

For example, if one of the current business concerns is whether the company can improve customer service, the IT system will need to evolve in such a way that improves customer service in a measurable way.

Successfully Aligning the Technology to Business Goals

In order to successfully align the IT system with business goals, it is important to understand the newly integrated technologies to understand how they can change business processes. If a new feature is intended to make the server more secure, the management should know exactly how the feature will improve the security of the server and whether the new implementation is redundant.

Once the business objectives have been identified, IT transformation is carried out by changing both the software and hardware used by the company. An example would be the growing trend of server migration to the cloud. Cloud computing is the growing trend of making files and data accessible from anywhere. If an organisation believes that it can improve productivity through a server cloud migration, it will need a way to test this.

The IT Transformation Process

Given that IT transformation is directly related to the core business, the IT transformation process must begin by identifying which aspects of the company must be changed. Then, the company must determine?IT services that could potentially be integrated into the business in a way that will help the company achieve benchmarks. After the key decision-makers understand the IT network well enough to effectively implement it, the company must efficiently manage the transformation process. Then, after the IT has been integrated, the company must have a system in place to measure business transformation in a numerical way.

For example, when assessing customer satisfaction, one effective strategy would be to distribute customer satisfaction surveys that ask customers to rate their experiences on a scale of one to ten. The company can then measure the results of the customer satisfaction survey to determine whether the new IT implementations are accomplishing their intended goals.

If the expected benchmarks are not being met, the next step in the IT transformation process is to determine if there is a specific reason for that. Is there a way that the feature can be better integrated to achieve desired business objectives? Are there other features that can help the company better achieve its goals?

Upgrading a network can be an expensive process and it is important to identify early on which options are the most likely to benefit the company’s bottom line.

Systems Integration as a means to cost reduction

System integration in an organisation refers to a process whereby two or more separate systems are brought together for the purpose of pooling the value in the separate systems into one main system. A key component of process consolidation within any organisation is the utilisation of IT as a means to achieve this end. As such, system integration as a means to cost reduction offers organisations the opportunity to adopt and implement lean principles with the attendant benefits. The implementation of lean techniques requires an adherence to stated methods to facilitate the elimination of wastage in the production of goods and services. In summary, the lean philosophy seeks to optimise the speed of good and service production, through the elimination of waste.

While analysing some of the traditional sources of waste in organisational activities, things like overproduction, inventory, underutilised ideas, transmission of information and ideas, transportation of people and material, time wastage and over-processing stand out. The fact is that companies can eliminate a significant portion of waste through the utilisation of IT to consolidate processes within their organisation.

Adopting lean principles calls for the identification of all of the steps in the company value stream for each product family for the purpose of the eliminating the steps that do not create any value. In other words, this step calls for the elimination of redundant steps in the process flow. This is exactly what the utilisation of IT to consolidate processes offers a company. For instance, the adoption of a central cloud system across a large organisation with several facilities could increase efficiencies in that company. Such a company would drastically reduce the redundancies that used to exist in the different facilities, eliminate the instances of hardware and software purchase, maintenance and upgrade, modernise quality assurances processes and identify further opportunities for improvement.

Perhaps, from the company’s point of view, and from the perspective of lean process implementation, the most important factor is?the effect it has?on the bottom line.’reducing the number of hardware, eliminating the need for maintaining and upgrading hardware, removing the necessity for software purchase and upgrade across facilities also contributes to a significant reduction in operational costs.?This reduction in the cost of operations leads to a corresponding increase in the profit margin of the company.

Applying system integration as a means to cost reduction can also lead to the reduction in the number of people needed to operate the previous systems that have been integrated into one primary unit. Usually, companies must hire people with specialised knowledge to operate and maintain the various systems. Such employees must also receive special training and frequent ongoing education to constantly stay informed of the latest trends in process management. With the integration of the system, the number of people needed to maintain the central system will be significantly reduced, also improving the security of information and other company trade secrets.

Based on an analysis of the specific needs that exist in a particular company environment, a system integration method that is peculiar to the needs of that organisation will be worked out. Some companies may find it more cost-effective to use the services of independent cloud service providers. Others with more resources and facilities may decide to set up their own cloud service systems. Often, private cloud service system capabilities far exceed the requirements of the initiating company, meaning that they could decide to “sell” the extra “space” on their cloud network to other interested parties.

A company that fully applies the lean principles towards the integration of its systems will be able to take on additional tasks as a result of the system consolidation. This leads to an increase in performance, and more efficiency due to the seamless syncing of information in a timely and uniform manner.

Companies have to combine a top-down and a bottom-up approach towards their system integration methods. A top-down approach simply utilises the overall system structure that is already in place as a starting point, or as a foundation. The bottom-up approach seeks to design new systems for integration into the system. Other methods of system integration include the vertical, star and horizontal integration methods. In the horizontal method, a specified subsystem is used as an interface for communication between other subsystems. For the star system integration method, the subsystems are connected to the system in a manner that resembles the depiction of a star; hence, the name. Vertical integration refers to the method of the integration of subsystems based on an analysis of their functionality.

The key to successful system integration for the purpose of cost reduction is to take a manual approach towards identifying the various applicable lean principles, with respect to the system integration process. For instance, when value has been specified, it becomes easier to identify value streams. The other process of removing unnecessary or redundant steps will be easier to follow when the whole project is viewed from the whole, rather than’the part. Creating an integrated system needs some?patience?in order to work out kinks and achieve the desired perfect value that creates no waste.

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