The Indian logistics industry has traditionally been a fragmented one with a lot of inefficiencies. The cost of logistics in India today amounts to approximately 15 per cent of the nation's GDP, as compared with developed countries where it's around 7-8 per cent of their respective GDPs. This is certainly a significant drain on the economy and negatively impacts sectors such as agriculture and manufacturing, as most Indian companies have had limited visibility into their respective supply chains. However, since 2015, we have noticed a paradigm shift in the government's policies and approach towards this sector, which is enabling seamless integration of operations to make it more organized. Beyond the policy push, today new-age technology is playing a huge role in redefining and revolutionizing various industries in our country, and the logistics industry is no exception.

Artificial Intelligence (AI), which is used in fleet management, dramatically improves the efficiency of transportation companies. Combining machine learning and AI, AI uses data from driver learning patterns to make tailored predictions. Barrett Young, SVP of Marketing at Netradyne shares how fleets can harness technology to improve and automate their decisions, increase driver safety and decrease vehicle downtime. Transport companies have started to realize the benefits of Artificial Intelligence. This includes reducing risk in the cab and the road, managing costs better and improving compliance.

New cars are in short supply, with delivery times stretching as long as a year because of the ongoing semiconductor shortage and other supply chain issues. This is affecting customers of all kinds, but none more than fleet buyers. The shortage means many fleets, from rental car companies to police departments, are not able to replace vehicles as often, resulting in a growing reliance on older vehicles, and increased resources devoted to maintaining them. Rather than simply replacing vehicles, which was often the strategy before because it was more cost-effective than making repairs or keeping up with ongoing maintenance, fleet managers need to invest more in inspections, monitoring and repairs. One way they can ensure that the vehicles they do deploy remain safe and in the best conditions possible is by using artificial intelligence solutions that increase driver accountability, examine a vehicle's performance, and determine ways to make sure that it remains up to the standards necessary in order to ensure safety and effectiveness -- as well as recommend ways to bring vehicles up to code, or identify issues before they cause problems.

New cars are in short supply, with delivery times stretching as long as a year because of the ongoing semiconductor shortage and other supply chain issues. This is affecting customers of all kinds, but none more than fleet buyers. The shortage means many fleets, from rental car companies to police departments, are not able to replace vehicles as often, resulting in a growing reliance on older vehicles, and increased resources devoted to maintaining them. Rather than simply replacing vehicles, which was often the strategy before because it was more cost-effective than making repairs or keeping up with ongoing maintenance, fleet managers need to invest more in inspections, monitoring and repairs. One way they can ensure that the vehicles they do deploy remain safe and in the best conditions possible is by using artificial intelligence solutions that increase driver accountability, examine a vehicle's performance, and determine ways to make sure that it remains up to the standards necessary in order to ensure safety and effectiveness -- as well as recommend ways to bring vehicles up to code, or identify issues before they cause problems.

Artificial intelligence (AI) has reshaped how operations happen in various industries. The technology can often remove bottlenecks, prevent unwanted events, and help decision-makers feel more confident in what the future will bring while relying on less guesswork. Keeping a fleet in top condition to operate safely can bring numerous challenges, and that's especially true as the overall number of vehicles rises. Failing to stay on top of maintenance could mean a fleet manager faces rising costs stemming from emergency repairs. It could also disrupt time-sensitive schedules, particularly if too many vehicles are unusable at once due to maintenance issues.

"This does not include a broad range of'hidden' costs, including reduced vehicle value (typically anywhere from $500 to $2,000), higher insurance premium, legal fees, driver turnover (the average driver replacement cost $8,200), lost employee time, lost vehicle-use time, administrative burden, reduced employee morale and bad publicity," said Yoav Banin, chief product officer at Nauto, which provides artificial intelligence driver and fleet performance solutions. Emphasis on truck driving safety is well placed, considering other challenges that the trucking industry is facing. Ranking first is a chronic shortage of truck drivers nationwide that could force fleet operators to hire less-experienced drivers who require operator and safety training. Driver compensation and truck parking ranked second and third, but immediately behind them in fourth and fifth position were driver truck fleet safety and insurance availability, which depends on safe driving records. Historically, fleet operators managed safety risks with training programs, manual coaching sessions and manager ride-alongs with drivers.

Deep learning is on the frontline in a new age of piracy, outwitting attacks with pre-emptive tech, explains Yarden Gross, CEO and co-founder of Orca AI. Almost a decade has passed since piracy raged off Somalia, and yet the danger posed by maritime hijackings is as present as ever. The global pandemic last year sparked a resurgence of attacks, with piracy incidents doubling across Asia, in a worrying uptick also seen in the Gulf of Mexico and West Africa. The fallout from coronavirus, including the loss of key security personnel, turned quarantined vessels into easy targets. This wave has since receded a little, with the International Maritime Bureau reporting a 44 per cent YoY dip in piracy and armed robbery incidents in 2021.

In the wake of COVID-19, all kinds of technological processes have been considered in an attempt to make up for supply chain complications and labor challenges. In this unstable environment, artificial intelligence has been instrumental in streamlining shipping logistics to accommodate the new normal, and the implications of this tech are widespread. AI itself has had a heyday in modern industry. One study found the use of AI in business processes has jumped 25 percent year-over-year as companies of all kinds integrate smarter computing processes to increase efficiency. The power of this tech across shipping and supply chains, in particular, is transforming the industry in the form of data analytics, connected monitoring systems, and automated processes.

Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the mobility industry. This time, you get to discover 5 hand-picked startups developing artificial intelligence (AI) solutions. The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence-powered StartUs Insights Discovery Platform, covering 1.379.000 The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.

Dashcams are an essential tool in a trucking fleet, both for the truck drivers and the fleet managers. Video footage can exonerate drivers in accidents, as well as provide opportunities for fleet managers to coach drivers. However, with a continuously running camera, there is simply too much footage to examine. When a KeepTruckin dashcam is paired with one of our Vehicle Gateways, the camera only automatically uploads the footage immediately preceding a driver performance event (DPE), which is an anomalous and potentially dangerous driver-initiated event (e.g. With all of the videos uploaded per day, fleet managers need to sift through the incoming data so that they can direct their attention to the most important videos for safety analysis. And of the selected videos for viewing, they need video overlays to more easily understand what happened in them.