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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Article 8 of the EU Energy Efficiency Directive ? Orientation

Following in-depth discussion of the UK?s ESOS response, we decided to backtrack to the source, especially since every EU member is facing similar challenges. The core purpose of the directive is to place a pair of obligations on member states. These are

  1. To promote the availability of energy audits among final customers in all sectors, and;
  2. To ensure that enterprises that are not SMEs carry out energy audits at least every four years.

Given the ability for business to look twice at every piece of legislation it considers unproductive, the Brussels legislators took care to define what constitutes an enterprise larger than an SME.

Definition of a Large Undertaking

A large undertaking meets one or both of the following conditions:

  1. It employs 250 or more people
  2. Its annual turnover is more than ?50 million and its balance sheet total exceeds ?43 million

Rules for Energy Audits

If accredited / qualified in-house specialists are unavailable then independent experts should supervise audits. The talent shortage seems common to many EU businesses. In hindsight, the Union could have ramped up slower, especially since the first compliance date of 5 December 2015 does not leave much swing room.

ecoVaro doubts there was a viable alternative, given the urgent imperative to beat back the scourge of carbon that is threatening the viability of our planet. The legislators must have been of a similar mind when laying down the guidelines. Witness for example the requirement that penalties be ?effective, proportionate and dissuasive?.

In order to be compliant, an energy audit must

  1. Be based on twelve months of verifiable data that is
    • over a continuous period beginning no more than 24 months before the beginning of the energy audit, and;
    • identifies energy saving opportunities including paths to their achievement
  2. Analyse the participant’s energy consumption and energy efficiency
  3. Have not been used as the basis for an energy audit in a previous compliance period

Measurement of current status and progress tracing are at the core of energy saving and good governance generally. EcoVaro has a powerhouse of software tools available on the cloud to help project teams save time and money.

Are Target Operating Models strategic compasses?

The short answer is they usually are, because every organisation needs a road-map of where they are going. Target operating models can be complex documents with illustrative details including project management structures, special tools, implementation procedures and management metrics. They can also be simple statements, as for example Winston Churchill?s promise that ?we shall fight them on the beaches, on the landing grounds and in the fields? which gave Britain the strategic direction it needed.

Many initiatives unfortunately fail because managers are ?too busy? to bottom on what their target operating model should say, or simply don’t believe in paperwork. As a result, promising initiatives may blunder off course or die a slow death without them really noticing. We cannot manage what we cannot measure, which is where the management metrics fit in. One of my favourite quotes is ?if you don’t know where you are going any road will get you there? which is what the Cheshire Cat said to Alice in Wonderland when she got lost.

The author blundered through life without a plan because there was no one else with his particular brand of imagination. The current business climate is different because everybody is trying to ramp up, and investors want to know exactly what is going to happen to their money and by when. Hence a target operating model can be indispensable throughout a change or product cycle.

The benefits of having a measurable operations / technology plan can produce powerfully tangible results if the organisation follows through on it. Built-in metrics with milestones are powerful tool for management, and, when they map through to the company financial plan almost irreplaceable as cash-flow forecasters.

Other benefits may include:

  • Shorter times to market and greater agility when launching new ideas
  • Reduced investor risk through a predictable process that’s readily monitored
  • A stable operating environment where there is consensus on direction
  • Greater likelihood of delivering on time and leading to repeat orders
  • A more cost-effective process, with less risk of loss of quality and money

Although it dates back a few years the Wills UK and Ireland Retail model still provides an excellent benchmark of a target operating plan that worked. The strategic goals were exceptionally clear, and they brought in a proven project manager to help them drive the program forward.

We have delivered advanced business management services to many of our clients, and believe you will find our personalised approach time-efficient and effective too.

Transformation to a process based organisation

Today’s global marketplace rewards nimble organisations that learn and reinvent themselves faster than their competition. Employees at all levels of these organisations see themselves as members of teams responsible for specific business processes, with performance measures tied to the success of the enterprise. As team members, they are “owners” of the process (or processes) to which they are assigned. They are responsible for both the day to day functioning of their process(s), and also for continuously seeking sustainable process improvements.

Transforming a traditionally designed “top down control” enterprise to a process-based organisation built around empowered teams actively engaged in business process re-engineering (BPR) has proven more difficult than many corporate leaders have expected. Poorly planned transformation efforts have resulted in both serious impacts to the bottom line, and even more serious damage to the organisation’s fabric of trust and confidence in leadership.

Tomislav Hernaus, in a publication titled “Generic Process Transformation Model: Transition to Process-based Organisation” has presented an overview of existing approaches to organisational transformation. From the sources reviewed, Heraus has synthesised a set of steps that collectively represent a framework for planning a successful organisational change effort. Key elements identified by Hernaus include:

Strategic Analysis:

The essential first step in any transformation effort must be development of a clear and practical vision of a future organisation that will be able to profitably compete under anticipated market conditions. That vision must be expected to flex and adjust as understanding of future market conditions change, but it must always be stated in terms that all organisational members can understand.

Identifying Core Business Processes:

With the strategic vision for the organisation in mind, the next step is to define the core business processes necessary for the future organisation to function. These processes may exist across the legacy organisation’s organisational structures.

Designing around Core Processes:

The next step is development of a schematic representation of the “end state” company, organised around the Core Business Processes defined in the previous step.

Transitional Organisational Forms/ Developing Support Systems:

In his transformation model, Hernaus recognises that information management systems designed for the legacy organisation may not be able to meet the needs of the process management teams in the new organisation. Interim management structures (that can function with currently available IT system outputs) may be required to allow IT professionals time to redesign the organisation’s information management system to be flexible enough to meet changing team needs.

Creating Awareness, Understanding, and Acceptance of the Process-based Organisation:

Starting immediately after the completion of the Strategic Analysis process described above, management must devote sufficient resources to assure that all organisation members, especially key managers, have a full understanding of how a process-based organisation functions. In addition, data based process management skills need to be provided to future process team members. It is not enough to schedule communication and training activities, and check them off the list as they are completed. It is critical that management set behavioural criteria for communication and training efforts that allow objective evaluation of the results of these efforts. Management must commit to continuing essential communication and training efforts until success criteria are achieved. During this effort, it may be determined that some members of the organisation are unlikely to ever accept the new roles they will be required to assume in a process-based organization. Replacement of these individuals should be seen as both an organisational necessity and a kindness to the employees affected.

Implementation of Process Teams:

After the completion of required training AND the completion of required IT system changes, process teams can be formally rolled out in a planned sequence. Providing new teams with part time support by qualified facilitators during the firsts weeks after start-up can pay valuable long term dividends.

Team Skill Development and Continuous Process Improvement:

Providing resources for on-going skill development and for providing timely and meaningful recognition of process team successes are two keys for success in a process-based organisation. Qualified individuals with responsibility for providing training and recognition must be clearly identified and provided with sufficient budgetary resources.

The Hernaus model for transformation to a process based organisation is both well thought out and clear. His paper provides an ample resource of references for further study.

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