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The key innovations driving today’s mobile workforce into the future

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By Derek Bryan (pictured), Vice President EMEA, Verizon Connect

In a hyper competitive market, enterprises across every sector are looking for any advantage to get ahead of the competition and meet customers’ expectations. Innovation has become central to success, particularly for enterprises that rely on a mobile workforce. 

Mobile workforce management has come a long way since the days of simply tracking location over GPS, now it can be used to help connect organisational silos, boost operational efficiency, improve safety and deliver better customer service. In this piece, I will look at the technologies that are driving the mobile workforce into the future and how will they help operations and fleet managers.

Data processing enables further automation

Computer processing through algorithms or machine learning, and data storage advances have opened up possibilities that seemed unimaginable even just a few years ago. For example, an autonomous vehicle collects and analyses more than a terabyte of data in real time, each day. This ability to collect, analyse and process reams of data has spawned on demand services enable us to watch TV, stream music, order a taxi, or book a hotel room on our phones or online almost instantly – and it has increased expectations of what should be possible for both consumers and mobile workers.

With additional processing power, managers can look at multiple data sources to gain bigger samples or correlate different data sets to provide more detailed information. At the same time, greater processing creates new ways to make extra data easier for people to understand and even automate tasks. This will advance even further as the industry harnesses the ability to collect more contextually relevant data from a combination of devices such as vehicle, mobile devices and other internet enabled sensors. 

Mobile workers could soon expect a frictionless experience, where they no longer need to manually input data or provide an update a manager while performing a task, while managers will automatically gain valuable insights to improve decision making. For example, imagine you had a worker in the field who was installing a satellite dish for a customer. If the installation was taking longer than expected, contextual data collection and analysis would be able to determine this automatically and assign their next job to another field service worker or communicate an accurate expected arrival time to the next customer – all without intervention from the worker, or manager.

Vehicles gain more computing power

Much has been made of potential of the autonomous vehicle. While their widespread adoption may be some time off, the computing power of non-autonomous vehicles is growing significantly. Vehicles are now capable of reporting more information to managers than ever before. From engine diagnostic details such as temperature, oil or fuel levels, and wear and tear on parts, to things inside the vehicle such as seatbelt use, number of passengers to even what was on the radio. 

This enables more effective management of vehicles. Managers can foresee any potential engine troubles, and schedule vehicle maintenance before they occur. Or they could gain other insights that could help employee safety or wellbeing and improve customer satisfaction. For example, if a vehicle’s engine is not switched on it’s a fairly safe bet, the driver may be delayed – which can be automatically communicated to customers or other workers. Or if the vehicle’s heater is constantly on, managers could provide better uniforms to help drivers stay warm, avoid getting sick and reduce fuel consumption.

The power of voice

The rapid take-up of voice recognition technology shows how far the software has come. While it used to be rather unreliable, voice dictation is beginning to replace typing in online queries. Twenty percent of mobile queries were made via voice in 2016, while accuracy is now about 95 percent. Improved voice recognition is a powerful tool for the mobile worker, enabling hands free input of data, activation of tasks and communication with managers. It means that mobile workers can do their job more effectively, without having to take their eyes of the task at hand. This is especially useful in the fleet space – creating a better, safer field working experience.

Communication from field to office becomes more visual

Years ago, the concept of streaming films, TV or live sporting events in high definition over the internet didn’t seem possible. But through improved connectivity and video compression technology, we can create more visually led communications between mobile workers and the office. Visual sensors between the office and the mobile worker can enable more effective service – enabling remote diagnostic detection or instruction from a manager. For example, an engineer working on a site could use video to remotely consult with someone office to find an appropriate solution, rather than having to leave the site or send another worker out.

Concluding thoughts

Mobile and field-working will continue to be improved by the technology. The best deployment of tech will reduce the burden on staff, rather than adding to the workload. For workers technology will make life easier, requiring less intervention and creating a frictionless process for reporting back to the office. For managers, technology will give increased visibility on how their field workers are performing. There is seemingly no limit to what data can be collected correlated and analysed to help to improve how the organisation is run, making it safer, more profitable and more enjoyable.

Battle for vehicle tech intensifies as digital giants wade into market

960 640 Stuart O'Brien

Europe was the most active autotech M&A market in 2018 with 39% of deal activity, ahead of North America and APAC, yet accounted for only 7% of total global M&A transaction value.

The latest research from GP Bullhound reveals M&A activity in autotech across Europe, Asia and North America has steadily increased in the last few years, reaching a record 166 transactions in 2018, up from 144 the previous year.

Though Europe is the most active market worldwide for M&A transactions, Asia Pacific and North America lead in terms of deal value – with 72% and 21%, respectively.

The total global autotech fundraising value increased by 293% to €27bn over the past five years,

Sven Raeymaekers, Partner at GP Bullhound, said: “Europe’s autotech sector has been growing from strength to strength in the last few years, and the figures in our report attest to significant innovation and investment across the continent. The next challenge for Europe’s autotech firms will be to achieve scale in order to compete with the biggest players in the industry. The difficulty so far is that European autotech companies struggle to get the same level of funding as their competitors in APAC and North America.”

The report also reveals that technology giants such as Google, Intel, Tesla and Uber are challenging established automotive firms when it comes to innovation in autonomous driving, connected cars, electric vehicles, and shared mobility solutions.

With Tesla on track to outsell both BMW and Mercedes-Benz in the US and several global automakers issuing recent profit warnings, GP Bullhound says the automotive industry is facing unprecedented disruption from emerging and established technology firms keen for a slice of the action.

Guillaume Bonneton, Partner at GP Bullhound, added: “A battle is emerging between global tech giants and the traditional automobile manufacturers. The tech giants have an advantage in terms of total resources available, but do not rule out the OEMs as they are pouring significant levels of investment into the four key sectors highlighted in our report. Combined with the existing levels of trust they have from consumers, it will be interesting to see who comes out on top.”

The report considers four key trends set to significantly reshape the automotive sector over the next ten to fifteen years: shared mobility, electrification, autonomy and connectivity.

Autonomy looks set to catch up to shared mobility as the most disruptive sector with the greatest increase in transaction value from €0.2bn in 2014, to €8bn in 2018 and an average transaction value of €70m, just below level of shared mobility on €75m which has dominated since 2014. This came as shared mobility declined from €17bn in 2017, to €8bn last year.

Looking ahead, the report identifies micro-mobility – bike, scooter and mopeds-sharing– as a fast-growth area, with deal activity in bike-scooter sharing increasing from $14m in 2015 to $3.5bn by the end of 2018.