Berkshire Grey forms UK partnership with Tessiant

Berkshire Grey Inc., a leader in AI-enabled robotic solutions that automate supply chain processes, and Tessiant, a leading change and transformation consultancy, have announced their partnership to help transform supply chain operations through intelligent robotic automation of eCommerce fulfilment, store replenishment, package handling and logistics. Together, the two companies will give UK retailers access to the most advanced AI-enabled robotic solutions designed to meet consumer expectations for on-demand order fulfilment.

“Berkshire Grey’s portfolio of Intelligent Enterprise Robotic (IER) solutions is what many UK retailers are searching for during this confluence of challenges including the eCommerce boom, labour shortages and rising consumer expectations,” said Anna Barsby, Managing Partner at Tessiant. “We are excited to partner with Berkshire Grey to help our clients overcome these issues and improve supply chain operations with AI-enabled robotics.”

Labour shortages are pervasive throughout Europe, with the number of job vacancies in the UK alone rising to a new record of 1.3 million in January 2022. This is further compounded by ever-increasing consumer demands for instantaneous order fulfilment and lingering COVID issues. Supply chain leaders are under more pressure than ever to find new solutions that increase efficiency and order processing throughput in eCommerce fulfilment, store replenishment and package handling.

With the launch of this partnership, UK companies will now have access to Berkshire Grey’s extensive robotic solutions and services including design, installation, testing and commissioning, and continued support leveraging cloud-based AI solutions for predictive maintenance, management of system operations, analytics and integration.

“We look forward to working side-by-side with Tessiant to advise the top retailers and eCommerce providers in the UK on how to leverage AI-enabled robotic solutions that can help them transform their supply chain,” said Neil Berry, Senior Vice President and General Manager for EMEA at Berkshire Grey. “Berkshire Grey and Tessiant both believe robotics are essential to help retailers stay competitive amid the growing market challenges, and we’re happy to partner with them to bring unique solutions to their network of clients.”

With this partnership, Tessiant will join Berkshire Grey’s Partner Alliance (BGPA) programme as a Consulting Partner. The BGPA programme includes a select group of strategic partners that provide customers across the retail, eCommerce, 3PL, grocery, and package handling industries with scalable robotic solutions developed to improve fulfilment throughput while driving down operational costs. The BGPA programme consists of market-leading consultants, integrators, technology providers and material handling leaders dedicated to providing value-added, AI-enabled robotic solutions to customers.

If only the Persians had known about AI…

Other than the essential healthcare workers and law enforcement, hardly any other professionals would have to sleep in their office after working 8 to 9 hours and then repeat the same schedule the following day, writes Gabor Balogh (pictured), Co-Founder of transportation company Trucksters.

However, there is one profession that has been operating under such conditions for decades, travelling from sunrise to sunset and sleeping in the cab of their lorry for weeks at a time – the professional hauliers. For years they have been working unnoticed, out of the spotlight, until recently.

The conversation regarding the lack of freight drivers arises as the UK suffers from fuel shortages at service stations and stock shortages in many department stores. With the estimated driver shortage at 100,000, it is a situation that cannot be ignored. It is not dissimilar to what is happening to the UK’s continental neighbours. However, in this case there is a new layer of complexity of those drivers having to cross borders.

Twenty-six centuries ago, the First Persian Empire faced the dilemma of how to communicate effectively between regions that were more than 7,000km apart. The solution was found in the relay system. Relays were passed in succession by horsemen and horses, and thanks to this system the messages travelled from India to what is now Macedonia without ever stopping. Day or night.

Relay system is a fast and efficient form of transportation, and it is an application been utilised for many years. But by applying Artificial Intelligence and Big Data to the system, we are able to transform relay system into a powerful tool that would revolutionise the road transport industry and bring a new era to the sector.

Trucksters’ AI algorithm is already capable of reducing goods transit times by 50% and increasing efficiency by 20% compared to other express solutions. It can also reduce theft by 95%. This is not a theory; it is a practice that’s been deployed by us. This system prioritises the drivers and places them in the centre of the operation. Instead of replacing the drivers, technology comes to their aid. The AI integrated relay system allows the drivers to rest at home every day after driving 4.5 hours in one direction, swap cargo with another professional driving in the opposite direction at a relay point and then go home.

In the UK’s case, it would allow fewer drivers to cross borders; instead of just one international haulier making the whole journey, the relay system divides the entire route into shorter trips driven by different regional drivers.

It is unclear of how the Persians would feel about AI and Big Data, but they would certainly appreciate of its usage, if a shortage of riders were to jeopardise the integrity of the empire. The relay system is a solution with dual benefits. The drivers will be able to sleep at home and spend more time with their families, while the companies will be able to have a more cost-efficient delivery system in place, as the cargos will always be on the move.

With supply chains under tremendous stress, the lack of drivers requires solutions that would help the profession to be more appealing and sustainable, especially when it comes to providing the drivers with a healthier work-life balance. Until the next revolution happens, and we reach an intermediate stage where human drivers and semi-autonomous trucks interact, the relay system is the effective solution for long-distance freight transport. And it is a solution that is under practice.

Adoption of Hyperautomation by Gen Z will Drive Supply Chain Autonomy

The evolution towards an autonomous supply chain has already begun, and this transformation coincides and is driven by members of Generation Z (Gen Z), that have just started to enter the workforce, according to Gartner, Inc.

“Born between 1997 and 2012, the oldest Gen Zers have just started their careers. In 10 years, they’ll be supply chain managers,” said Pierfrancesco Manenti, vice president analyst with the Gartner Supply Chain practice. “This generation has grown up with digital technologies, so today’s supply chain leaders expect them to be innovators that accelerate supply chain digitalization and pave the way towards hyperautomation.”

Gartner defines business-driven hyperautomation as the approach that organizations use to rapidly identify, vet, and automate business processes that originally required some form of human judgement or action. Hyperautomation involves a combination of technologies that include robotic process automation (RPA), machine learning (ML), artificial intelligence (AI) and many others.

Supply chain leaders should take the opportunity to attract and hire Gen Z and maximize their effect on supply chain digitalization. They should consider the following three steps when designing their strategy and roadmap for the supply chain of the future.

Automation

The first step will be to identify and automate all repetitive, non-value-added human activity. There’s a great number of tasks and processes such as procure-to-pay and customer claim management that can be automated. RPA is considered the primary technology for those initiatives.

“Over the next five years, supply chain leaders will roll out more coordinated and impactful RPA initiatives, as the technology is maturing very rapidly, and we’ll see mainstream adoption,” Mr. Manenti said. “This is also the phase where more members of Gen Z enter the supply chain workforce, changing the employees’ mindset and preparing the ground for the next level.”

Augmentation

Between 2025 and 2030, many hyperautomation technologies, such as machine learning, are expected to mature and enter mainstream adoption. They will help automate supply chain decision-making by augmenting human judgment. Hyperautomation technologies will be available to increase the accuracy and speed of decision making, for example by scanning terabytes of real-time supply chain data and providing insights, which is impossible to do by humans alone.

This is the time when Gen Z employees progress into leadership positions. As this happens, the process of adopting hyperautomation will speed up, as will awareness and acceptance for those technologies.

Autonomy

The final destination is supply chain autonomy, when all human low-value activities in the supply chain will be largely automated. This future supply chain will have minimal direct human involvement and interference from a traditional work perspective, which will suit the expectations of Gen Z employees. Supply chain employees will focus their efforts on tasks such as defining the supply chain strategy, driving innovation, taking care of customer service and experience, and controlling AI data from being biased.

“All of the supply chain leaders we interviewed agree that, at some point beyond 2030, a large majority of their supply chain activities will most likely become autonomous and self-healing. However, they don’t expect a lights-off supply chain, with no people at all. They agree that hyperautomation is the opportunity to free up people’s time for the value-added work that only humans can perform. The ingenuity and empathy of the human brain can’t easily be replicated,” Mr. Manenti concluded.

What does the Logistics World of the Future look like?

Let a futurist explain, reports Paul Hamblin. Transport management and visibility specialist Transporeon recently staged an online conference which very neatly replicated the format of the real-world version with a quirky navigation that allowed attendees to enter different rooms in a faithfully reproduced virtual ‘venue’.

Top of the bill was Richard van Hooijdonk, a trend watcher and futurist (“trend watchers explain, futurists predict” he reveals) from the Netherlands, with a 100kph patter and an undeniably hypnotic watchability. Richard grabbed attendees from the off by revealing he has had an RFID chip inserted into his wrist and hopes to have another in his brain in due course. (“They’re like tattoos – once you have one, you want another,” he announces). You’ll never need your wallet again, he promises. I’m not convinced. Not yet, anyway.

He began his presentation on the future of transport, logistics and supply chains by listing the dramatic changes wrought by COVID, such as shorter supply chains and the increasing reliance on digital innovation. If a digital product is good and can answer a need, it will grow fast, he said, giving the example of Zoom, which had 10 million users in 2019, but can boast over 300 million at the time of going to press.

The Dutchman’s key point is that all repetitive, predictable tasks will be taken over by machines and that transport will be at the heart of this revolution. Now that autonomous systems can be trained to replicate human movements, they can carry them out, essentially without the downside. The downside being that we humans are emotional and make decisions, which leads to car accidents. Van Hooijdonk confidently predicts a world in which autonomous vehicles – cars, lorries, buses – will interweave painlessly on highways powered by induction-charging from the road
itself. Smart containers will be able to switch between lorries without manual support, while self-sailing ships – he shows the example of an existing Rolls- Royce design – will in future operate
in a world without harbours as smaller autonomous vessels and drones pick up directly from those huge ships well away from ports. The same concept will apply in Distribution Centres on land.

The future of logistics transport is underground, he promises, showing delegates a vision of city-to-city hyperloop tunnels. You don’t have to look too far to find cynics concerning the actual
opportunity provided by blockchain technology, but van Hooijdonk is not among them, pointing out how Wal-Mart and IBM have trialled the complete supply chain transparency of mango fruit using blockchain technology. Every successful transport company will become a technology company, he promises. Data is the oil of technology, it joins up the dots.

Shorter supply chains are here to stay, he believes, as manufacturing migrates to the warehouse itself with the tech provided by Additive Manufacturing. In evidence he cites BMW and Mercedes already using 3D printing to produce car parts, while he offers images from the US of concrete-framed houses already built in under 24 hours and with ambitions to cut that time to six hours.
Business as usual is a thing of the past, he tells us. Change is the only constant factor and established processes prevent change. So why are businesses not more willing to change? Three reasons, he says.

First, uncertainty, which no-one likes, proven in spades by the past six months. Second, faith in existing business models because the numbers are still good. After all, he points out wryly, Kodak’s numbers were great in 2010. Five years later they were gone forever. We like expected behaviour, he argues, and that keeps us stuck in the past. “Only the paranoid survive,” said Andy Grove, founder of Intel. That means you’ve got to be able to unlearn, as Amazon shows how an entire sector can be disrupted. The answer, according to the futurist? Every company will have to part of an ecosystem. You can’t do it alone. Read the whole article here.

MoU to Develop joint Smart Sports Logistics Lab

Geek+, a leading AI and robotics solutions provider for logistics, and Decathlon China, one of the world’s largest retailers of sporting goods, are pleased to announce that on November 6th, the two industry leaders signed a Memorandum of Understanding (MoU) for the development of a joint Smart Sports Logistics Lab. The MoU was signed by Yong Zheng, founder and CEO of Geek+ and Bruno Thellier, Transformation Leader at Decathlon during an official ceremony at the China International Import Expo, China’s premier event and largest trade fair.

Under the MoU, Geek+ and Decathlon will jointly explore applying new robotics and software technologies to the supply chain, setting a benchmark for the environmental-friendly and sustainable smart future of the sports retail industry. Geek+ will contribute its newest AMR, AI algorithm, and software, while Decathlon China will focus on strategic supply chain innovation design and land innovative initiatives on its global operational scenarios. Both parties will also invite ecosystem partners, including but not limited to players in software, IoT, 5G sectors, to join the group of innovation and work together to build a global dynamic engine to drive the fast and sustainable industry evolution.

Geek+ founder and CEO, Yong Zheng commented “Decathlon and Geek+ are like-minded partners. We are impressed by their determination to innovate, their vision, and decisive actions, which have made Decathlon an industry leader in supply chain innovation. We’re excited that Geek+ will continue to empower Decathlon in their high-growth future.”

Transformation Leader at Decathlon: Bruno Thellier commented “Technology changes the world, Geek+ and Decathlon are collaborating together in all of our logistics parks in China and we have already achieved game-changing in the sport retails logistics.

Today with Geek+ we are creating the first construction block of an open ecosystem and we believe that LAB will empower our enterprises, will stimulate more market vitality, and will allow more added values in the sports retail industry thanks to the technology. ”

Decathlon, a pioneer in applying RFID technology in retail, has taken an early lead among global retailers in adopting intelligent automation solutions. Geek+ and Decathlon have collaborated in numerous sites in the past three years, including implementing new remote deployments at the height of the Covid19 pandemic, accelerating Decathlon’s automation program. To date, Decathlon has completed the picking automation of all its China warehouses and kicked off the replications of proven-successful solutions to its global warehouses. The robotics warehouses powered by Geek+ have enabled Decathlon to triple the average productivity of labor with an ROI of under three years.

Coupa Software Acquires LLamasoft

Coupa Software, a leader in Business Spend Management (BSM), announced today that it has acquired LLamasoft, a leader in AI-powered supply chain design and planning for a purchase price of approximately $1.5 billion. Based in Ann Arbor, Mich., LLamasoft’s technology is used by hundreds of enterprise customers, including brands such as Boeing, Danone S.A., Home Depot, and Nestle. The acquisition will strengthen Coupa’s supply chain capabilities, enabling businesses to drive greater value through Business Spend Management.

The events of this year continue to demonstrate the importance of supply chain agility, as companies work to more rapidly adapt to changing consumer preferences, economic conditions, and the political landscape. With demand uncertainty on one hand, and supply volatility on the other, companies are in need of supply chain technology that can help them assess alternatives and balance trade-offs to achieve desired business results. LLamasoft provides these capabilities with an AI-powered cloud platform that empowers companies to make smarter supply chain decisions, faster.

“We are witnessing an unprecedented shift in what businesses are demanding to effectively manage their supply chains. They need instant visibility, agile planning capabilities, and timely risk mitigation support,” said Rob Bernshteyn, chairman and CEO at Coupa. “LLamasoft’s deep supply chain expertise and sophisticated data science and modeling capabilities, combined with the roughly $2 trillion of cumulative transactional spend data we have in Coupa, will empower businesses with the intelligence needed to pivot on a dime. Together, we will deliver a more powerful Business Spend Management platform to help organizations everywhere maximize the value of every dollar they spend in a smarter, simpler, and safer way.”

Launched in January 2020, LLamasoft’s newest product llama.ai, delivers AI-powered decision making across the supply chain to support an almost unlimited number of use cases. With llama.ai, organizations can create purpose-built applications that leverage an end-to-end decision data model and employ a library of proven supply chain algorithms. These applications can run what-if scenarios and surface valuable insights before organizations make key business decisions.

“We are very excited about joining forces with Coupa,” said Razat Gaurav, CEO at LLamasoft. “Combining Coupa’s market-leading spend management execution core and broad market reach with LLamasoft’s AI-powered supply chain analytics provides a unique opportunity to bring together digital transformation solutions that drive decision making and operational efficiency across the enterprise. I am equally excited for employees of both organizations who share a culture that prioritizes delivering innovation and exceptional customer value.”

Most recently, LLamasoft was named to Inc. 5000 List of Fastest Growing Private Companies for the fifth consecutive year, the 2020 Detroit Free Press Top Workplace, and Supply & Demand Chain Executive Green Supply Chain Award 2019.

“This very timely acquisition comes as supply chains are undergoing tremendous disruption that is best navigated using AI-enabled decision processes surrounding a digital twin of the end-to-end supply chain,” said Mickey North Rizza, program vice president of enterprise applications and digital commerce at IDC. “Incorporating supply chain planning capabilities as part of a comprehensive BSM strategy will give companies more visibility and control across their direct and indirect spend.”

Read more software news here https://www.logisticsbusiness.com/it-in-logistics/software-wms-tms-scm/ or learn more about Coupa

Digital and Artificial Intelligence Automate Warehouses

Brummer Logistik , a third party logistics expert for temperature-controlled transport and warehouse logistics, and Logivations GmbH, an international consulting and technology company based in Munich, have agreed on an extensive cooperation for the digitization and automation of Brummer’s distribution warehouses.

Logivations W2MO uses cameras and artificial intelligence to recognize vehicles such as forklifts and robots, as well as stored goods and all processes in the warehouse and production. Bookings are made automatically based on the detected movements of goods. For the automatic transport of pallets, autonomous mobile transport robots and their coordination with other transports can be navigated with complete control. Logivations’ technology allows the transport robots to be provided in a very lean and cost-effective manner. A payback period of less than 2.5 years is typical. The complex intelligence is integrated into the existing infrastructure: several hundred detection units – cameras with artificial intelligence for object recognition – recognize everything that happens in the warehouse. “Digital Twin and Artificial intelligence offer revolutionary new possibilities for autonomous mobile transport robots,” says Dr. Christoph Plapp, Managing Partner of Logivations.

Digital and Artificial Intelligence

At Brummer, pallets are wrapped in foil, which is why laser scanners cannot recognize the entry channels of the pallets. The detection of pallets is therefore also carried out using artificial intelligence. Using extensive image material, all conceivable appearances of pallets were learned so that the AI-AGVs can quickly and safely steer into pallets and pick them up. “We tested long and hard and then decided to fully digitize and automate our logistics processes. It’s nice that this can be done at very manageable costs,” emphasizes Hans Brummer, Managing Director.

Over the next few months, Logivations will gradually digitize more BRUMMER warehouses and equip them with registration units. The planned 125 AGVs will be delivered and put intooperation step by step. At the beginning there is a comprehensive mixed operation, i.e. AI AGVs and manual forklifts take on the same transport tasks, but are optimally coordinated by Logivations software according to their respective capabilities. http://www.logivations.com

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