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Berg Insight presents a unique database covering the 350 largest cellular IoT deployments identified as part of the company’s world-class IoT market research activities since 2004.

The extensive list includes various types of projects and product categories deployed across all types of vertical markets including aftermarket automotive, fleet management & MRM, healthcare, OEM automotive, retail applications, smart homes and buildings, utilities, wearables & consumer electronics as well as industrial M2M and other. The database includes project size and geographical distribution by the end of 2017 as well as a 5-year forecast for each individual project.

“The projects included in the top-350 list together account for approximately 214 million active cellular IoT subscriptions”, said Rickard Andersson, Principal Analyst, Berg Insight. He adds that this corresponds to as much as 33.0 percent of the total number of cellular IoT connections worldwide at the end of 2017.

The 350 projects on the list are in the coming years forecasted to grow to 521 million units by 2022, corresponding to an overall compound annual growth rate (CAGR) of 19.5 percent. “More than 40 deployments on the list have surpassed 1 million subscriptions and the top-10 projects alone account for over 80 million units”, continued Mr. Andersson. Fleet management & MRM is the largest vertical in terms of the number of projects that made the top list, followed by retail applications, aftermarket automotive and OEM automotive as well as smart homes and buildings.

When comparing the number of active subscriptions represented by each vertical for the entries in the top-350 list, OEM automotive is instead the largest vertical, accounting for 46 million units, ahead of utilities at about 34 million units and fleet management & MRM representing 31 million units.

Download report brochure: The 350 Largest Cellular IoT Projects Worldwide

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Oftentimes field service directors and managers can see the importance of investment within a dedicated Field Service Management (FSM) ahead of their colleagues in the boardroom. In this series of articles Kevin McNally, Sales Director, Asolvi outlines how to build a case for investment to drive your field service operations forwards.

In the first instalment in this series, we looked at how FSM systems can deliver easy Return on Investment, in part two we explored how investment in FSM solutions can help you achieve better staff retention and now in part three we turn our attention to how the implementation of an FSM solution can improve worker health and safety.

Is building a case for investment in FSM a key topic for you?! There is a full white paper on this topic available to fieldservicenews.com subscribers. Click the button below to get fully up to speed!

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Perhaps the easiest argument to put forward to an executive board when seeking approval for investment, aside from outlining a clear ROI, is when that investment will mean ensuring the working environments you place your employees in meets any necessary health and safety requirements.

Of course, in a field service scenario, it is not necessarily possible to control the environment in which your field workers will be undertaking their role.

Therefore, monitoring their safety and ensuring they follow all due protocols and procedures is of huge importance.

So let’s take a quick look at some ways in which FSM systems can help you keep your field service engineers and technicians safe.

Geo-Fencing And Lone Worker Support

One reason field service technicians and engineers are particularly vulnerable is simply the fact that they are often working alone - so should an accident happen it could go unnoticed for some time, delaying any necessary medical attention.

There are many lone worker solutions out there, but it is optimum if you can identify a solution that can integrate into your wider FSM system so it can take a data feed of where the engineer is scheduled to be at any given time.

In fact, once that data feed from your scheduling solution is in place, it is possible to establish geo-fencing to make sure that should your engineer either stray outside of where they are supposed to be, or should they fail to arrive where they are supposed to be within a parameter of acceptable margin, alerts can be triggered helping to avoid potential tragedies that can arise from lone worker scenarios.

Indeed, this is one of the key areas in which the importance of the easy flow of data across your field service eco-system can be most easily highlighted – as the benefits literally could mean the difference between life and death.

Smart Scheduling To Ensure Your Engineers Are Safe

The next item on the list is an obvious one, and one that any good dispatcher even working without an FSM solution will pride themselves on doing – however, by automating it we can remove the potential for human oversight and error.

Many FSM systems will allow you to set clear parameters against a job during set up so that should maintenance or repair need to be scheduled then unless those parameters (such as the job requiring specific qualifications or more than one technician being required) are met the job cannot be scheduled.

This relatively simple, yet highly effective inclusion within an FSM system can ensure that the right engineer(s), with the right qualifications, are sent to the job, helping to avoid any potential health and safety issues that could result from under qualified or undermanned service teams being sent out.

Guide Your Engineers When Onsite To Safe Processes Every Time

Even the most experienced engineers can make mistakes – and these are oftentimes the result of simple complacency – again something that can be overcome through the use of mobile tools often found within an FSM solution.

For example, by building a checklist on the engineer’s mobile device that is built into their workflow you can ensure essential steps aren’t overlooked.

It may seem like an obvious thing for the experienced engineer to be told to switch off a core valve or even mains power to an asset before undertaking maintenance, but it only takes one rushed moment of forgetfulness on a bad day to cause an accident that could potentially be fatal.

But your FSM solution could help avoid that entirely by only allowing the engineer to begin work on the asset once they have completed the H&S checks on their mobile device.

Want to know more?! There is a full white paper on this topic available to fieldservicenews.com subscribers. Click the button below to get fully up to speed!

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Artificial Intelligence has increasingly become a key discussion in all industries and its impact in field service management is predicted to be hugely significant, but how should field service organisations leverage this powerful twenty-first-century technology? In the part one of this two-part feature Marne Martin, President of Service Management, IFS outlined why AI in field service is about far more than chatbots, now in the concluding part, she outlines how AI can bring a touch of genius to your field service operations...

Is Artificial Intelligence a key topic for you?! The full white paper on this topic available to fieldservicenews.com subscribers. Click the button below to get fully up to speed!

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Solving Problems When One Isn't Albert Einstein

Human agents are capable of optimally dealing with a customer, and AI can free them up for the most interesting and demanding tasks. In the case of scheduling technicians in the field, humans are just not up to the numerical challenge of adjusting a schedule in an optimal fashion as humans typically focus in on an aspect of a problem to solve rather than finding the best solution overall.

A dynamic scheduling engine (DSE) driven by AI algorithms is designed to solve complex scheduling problems in real time—problems much too complex for any human dispatcher or customer service agent to handle, especially when at times individuals will act myopically based on their area rather than for the greater good of the company and its customers.

"Even a static service schedule can be handled in myriad different ways and decisions regarding which technician to send to which of several jobs in what order are often made based on suboptimal heuristics..."

Even a static service schedule can be handled in myriad different ways and decisions regarding which technician to send to which of several jobs in what order are often made based on suboptimal heuristics.

“Steve’s son is in daycare in this part of town, so I will schedule this appointment last, so he will be close by.” Sometimes jobs are scheduled based on first-in, first scheduled, regardless of the actual urgency of requests that come later.

Manual or traditional software-based scheduling may be a workable solution for service organizations with a very small number of technicians each engaged in a small number of jobs during a day. But it does not take many technicians or jobs for the number of possible solutions to outstrip human computation capabilities either individually or as a group.

Even at the low end of the spectrum, a human dispatcher cannot quickly identify all the possible solutions and pick the best one. With two technicians and four service calls there are already 120 possible solutions— different combinations of technician, job and order. Two technicians, and five service calls yields 720 possible solutions. Four technicians and 10 service calls present a dispatcher with 1,037,836,800 possible solutions.

But the time you get to five technicians that must complete six calls each—a total of 30 calls, you have 12,301,367,000,000,000,000,000, 000,000,000,000,000 possible solutions.

Finding the optimal solution becomes even more complex as additional and rapidly-changing factors are added into the mix:

• Emergent jobs come in that must take precedence over those already scheduled
• SLAs and other contractual requirements demand that some jobs be completed within a given timeframe
• Technician skill sets that influence which tech is sent to which job
• Tools and materials currently in stock on each service vehicle
• The current location of a technician in proximity to each job and to drop locations for inventory that may be required for a job
• The duration of each service call, both in terms of estimated time required to complete the call and whether a current job is running over the estimated time, resulting in knock-on effect on subsequent jobs

Former world chess champion Garry Kasparov, in his book Deep Thinking: Where Machine Intelligence Ends and Human Creativity Begins, makes clear that even his mind is not capable of computing possible solutions and outcomes as rapidly or effectively as an AI algorithm.

"Automating the schedule through AI not only enables a much higher level of service but frees up dispatchers to handle those “beautiful or paradoxical moves” that may delight a customer or solve a tough problem...“

The human mind isn’t a computer; it cannot progress in an orderly fashion down a list of candidate moves and rank them by a score down to the hundredth of a pawn the way a chess machine does,” Kasparov writes. “Even the most disciplined human mind wanders in the heat of competition. This is both a weakness and a strength of human cognition. Sometimes these undisciplined wanderings only weaken your analysis. Other times they lead to inspiration, to beautiful or paradoxical moves that were not on your initial list of candidates.”

Automating the schedule through AI not only enables a much higher level of service but frees up dispatchers to handle those “beautiful or paradoxical moves” that may delight a customer or solve a tough problem.

In the end, collaborating with intelligent machines will get us further faster than going it alone. According to Kasparov, the best chess is now played as grandmasters use computers to analyze positions, opponents’ games and their own games—elevating the level of play. In an interview with the Financial Times, Kasparov, who famously had matches against an early chess supercomputer, described how the best chess is now played by combining “human intuition and understanding of the game of chess with a computer’s brute force of calculation and memory.”

“I introduced what is called advanced chess; human plus machine against another human plus machine,” Kasparov said. “A human plus machine will always beat a super machine. The computer will compensate for our human weaknesses and guarantee we are not making mistakes under pressure … the most important thing is not the strengths of the human player. It is not the power of the computer. But it is the interface. It is the corporation.”

Legacy Approach to Inventory Logistics

Service management for many businesses relies on inventory … if completion of a service call requires inventory and you are out of stock, you cannot meet your commitment to the customer. When a service request cannot be closed on the first visit, it is often because the right part is not on the truck or immediately available.

So, service management software should encompass inventory management functionality, and that functionality should include automated reorder points for each part. The ability to take parts availability into consideration is a critical data set for AI to work on as parts are a critical determinant in first-time fix and job completion where parts are a factor. It also is a key aspect to successful SLA and outcomes-based commercial relationships.

Once inventory data is available and integrated, a powerful DSE may also be configured to influence inventory logistics so parts and materials are housed in warehouses, satellite offices or inventory drop locations closer to anticipated demand, with inventory matched to jobs in a forward or current day schedule. In one very large implementation of IFS Planning and Scheduling™ Optimization—in the London underground transit system—inventory and tools are dropped ahead of each service visit so technicians who ride the subway to the service site can pick them up.

This is only possible with a high degree of coordination between the service schedule, inventory logistics and an AI-driven scheduling tool.

Conclusion

Service organisations should recognise the tremendous potential AI holds—they can harness it to transform their operations, outflank their competitors and disrupt their markets. We are only starting to tap into the different ways AI can be used to better solve the problem of delivering optimal service in a rapidly changing environment as adoption is still lagging despite the real benefits AI brings. The good news is there are several straightforward and easily accessible ways service executives can harness AI technology right now, today.

Is Artificial Intelligence a key topic for you?! The full white paper on this topic available to fieldservicenews.com subscribers. Click the button below to get fully up to speed!

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In this, the latest edition of the Field Service Podcast, Kris Oldland, Field Service News, Editor-in-Chief, is joined by Marne Martin, CEO of WorkWave and president of Service Management for IFS about her new role with IFS as well as discussing whether the time has come to finally recognised Field Service Management systems as a standalone category such as CRM or ERP [hr]

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FSH, the one-stop construction company servicing the north of England, has transformed its business with a 5 in 1 management system from BigChange.  Operating as a cloud service linked to mobile apps used by workers onsite, the solution provides FSH with real-time operational information for improving efficiency, productivity and service.

Employing 132 mobile tradesmen and 65 office staff, the Castleford headquartered company has regional offices in Hull, Liverpool and Newcastle-upon-Tyne.  FSH specialises in insurance-related work, typically repairing flood or fire damaged properties.  A new construction arm handing reactive maintenance work is also driving expansion in sectors such as social housing and education.

“We work mainly for the UK’s biggest insurance firms and providing a consistently high-quality rebuild and refurbishment service is absolutely vital,” says Matthew Cappleman, Managing Director of FSH.  “The monitoring and reporting of our work on site is however just as important and that’s where BigChange comes in.  It gives real-time visibility of every job and provides an audit trail of all work.  We can manage the work better, improve customer service, and provide insurers with immediate job updates and evidence of work done.”

With a fleet of 132 BigChange equipped vehicles providing live data for managing operations, tradesmen are being equipped with rugged Samsung tablets running JobWatch.  Mobile apps completely replace paperwork with live data reporting and the devices capture useful time and location stamped photographs, as well as customer signatures.

"BigChange really does expedite everything as our tradesman can go straight to the job and put in a full, productive 8 hour day.  The system also ensures good work discipline and good practice as the tradesmen are in effect self-managing their work, backed up with their reports and photographs. With JobWatch there is no more sitting around and managers no longer need to go onsite to check the work.  Everyone wins,“ comments Matthew Cappleman.

Stuart Welburn, Finance Director at FSH agrees that BigChange has had a positive impact, adding “Certainly BigChange has been good for business and we estimate efficiency gains of 2 or 3 percent.  However, we anticipate it will improve our profitability not only through better utilisation of our resources but by generally improving our services to continually improve our reputation and win more business’.

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Claudine Mosseri outlines how in an age of increasing consumer power it is critical field service engineers are able meet SLAs and explains how technology in service logistics is making that happen...

News headlines would suggest that the high street is fast heading to a retail graveyard, with longstanding titans like Debenhams and House of Fraser the latest to face tough times.

Yet only after a period of turmoil, only one in 10 shops is vacant.

Factors such as the need to try before you buy, instant gratification and the convenience of returns are just a few of the factors that keep consumers returning to the high street.

The most successful stores are not only driving e-commerce, but also optimising the in-store experience by implementing new technologies and interactive features for customers.

We are starting to see the emergence of brand leaders such as Amazon Go, whose model is being mimicked by Tesco in its cashless store trial.

Whistl also discovered that over half of shoppers prefer unmanned tills to deal with cashiers, as it’s faster. As retailers become ever bolder in their use of tech, they rely more heavily on those integrated devices working flawlessly.

But as the old adage says, the best-laid plans often go awry. At some point, technology will fail, whether it’s a shopper-facing device or the datacentres serving them. When this happens, problems result for both consumer and retailer.

"ByBox recently surveyed 1,000 shoppers, two-thirds reported they had experienced problems and breakdowns in-store. For one-third of these dissatisfied consumers, this meant they were unable to complete their purchase at all..."

ByBox recently surveyed 1,000 shoppers, two thirds reported they had experienced problems and breakdowns in-store. For one third of these dissatisfied consumers, this meant they were unable to complete their purchase at all.

What was designed to be a positive customer experience can quickly turn into a negative with long term consequences when the technology fails.

Over a third (38%) of shoppers told us they felt angry or irritated because of these breakdowns.

Over a fifth complained to store staff about nonfunctional devices. And for a very angry one in 10, their opinions of the store were damaged in the long term.

With revenue and reputation at risk, it is vital that retailers implement strategies to limit risk and ensure rapid response times when the inevitable does happen and their tech lets them down.

It starts with making sure service providers are equipped to manage speedy same-day fixes.

Ensuring this needs to be the norm when it comes to setting service-level agreements.

There are new technologies that can support this requirement. For example, creating micro-FSLs (forward stock locations) by combining sophisticated software and smart locker technology, means repair items can be prepositioned using overnight or through the day deliveries. Shortening the mean time to repair (MTTR) can also limit the risk to retailers.

The world of retail is moving at a swift technological pace – but this isn’t the only sector where the support services for connected devices must move with the times.

If networks and other background tech systems fail the entire customer experience is interrupted, and it’s often the front-end business which bears the brunt of customer dissatisfaction and lost revenue.

Modern retail is all about convenience and ease for the consumer, delivering the fastest way to shop in the most seamless and engaging way.

As we see one ‘rush’ to improve the shopping experience by implementing new technologies, retailers should prepare for another – maintaining these innovations.

This will keep the high street alive and kicking.

Claudine Mosseri, is General Manager, ByBox 

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