The recent lockdown has made times difficult for all, particularly the logistics sector. However, several startups have been quite active and prudent in deducing ways to cope up with the situation. One among them is Unbox Robotics, an early stage startup that has recently unveiled a robotics solution for efficient parcel sortation in warehouses. It is building a logistics automation system that could enable logistics players to automate and improve their operations on-demand with limited footprint and capital. We are trying our best to maintain the productivity of the team to compensate for the loss of work due to the lockdown.
UPS Flight Forward (UPSFF) is collaborating with German drone-maker Wingcopter to develop the next generation of package delivery drones for a variety of use cases in the United States and internationally. UPSFF is a subsidiary of UPS dedicated to drone delivery. UPS chose Wingcopter for its unmanned aircraft technology and its track record in delivering a variety of goods over long distances in multiple international settings. "Drone delivery is not a one-size-fits-all operation," said Bala Ganesh, vice president of the UPS Advanced Technology Group. "Our collaboration with Wingcopter helps pave the way for us to start drone delivery service in new use-cases. UPS Flight Forward is building a network of technology partners to broaden our unique capability to serve customers and extend our leadership in drone delivery."
Data analytics and artificial intelligence (AI) are hot topics these days, especially in supply chain circles. Data analytics is the science of examining raw data to help draw conclusions about information. Predictive analytics uses data to foresee trends and patterns. Artificial intelligence is a continuation of the concepts around predictive analytics, with one major difference: An AI system is able to make assumptions, and test and learn autonomously. Then it applies machine learning, deep learning, and other techniques to solve actual problems.
While the coronavirus is hurting many companies in china, on in particular is thriving because of the disease. Neolix, a driverless delivery service, has experienced a spike in demand as it helps reduce physical contact and fills in at a time of labor shortages – many workers in the country have been quarantined. The autonomous vans are being used to deliver medical supplies, disinfect streets and delivery food to people who are in the heart of the outbreak. The startup has booked orders for more than 200 vehicles in the past two months and before that, it had only produced 125 units since last May, founder Yu Enyuan said in an interview with Bloomberg. The tiny vans, which are essentially four-wheeled robots outfitted with trunks for storage, are capable of navigating their environment without any human pilot.
Plans to recreate the 1620 trans-Atlantic journey of the Mayflower colony ship with a fully autonomous, crewless vessel are one step closer, as IBM begins trials of the ship's AI "captain" in a project that could set the scene for future crewless cargo shipping. The Mayflower Autonomous Ship (MAS) project undertaken by IBM, the University of Plymouth and marine research firm ProMare aims to create the world's first fully-sized autonomous research vessel that will cross the Atlantic this September. For the last two years an AI model has been trained using a million nautical images collected from open source data sets. In order to process this database, a team in Plymouth are using an IBM Power AC922 server fitted with Nvidia V100 Tensor Core GPUs. Upon completion the ship itself will be fitted with an IBM Power System accelerated server that will be tasked with helping the AI captain act independently on the high seas.
Manufacturers today are recognizing the significant benefits that autonomous mobile robots can offer. Conventional logistics solutions like forklifts and conveyor belts -- as well as traditional automated guided vehicles -- haven't allowed this level of flexibility or adaptability. Manufacturers and logistics companies trying to accommodate ever-changing customer demands will have difficulty if they rely solely on autonomous guided vehicles and other systems. As a result, manufacturers satisfied with one mobile robot have started to implement multiple AMRs in hopes of expanding them to internal logistics applications they hadn't realized could benefit from their use. To facilitate the process, they are using fleet management software, which offers centralized control of the robots from a single station.
MARSEILLE, France--(BUSINESS WIRE)--Traxens, a company that provides high-value data and services for the supply chain industry, announces today that it is now part of the new European DataPorts project, aimed at creating a data platform for cognitive ports of the future. With a total budget of €6.7M ($7.3M), the three-year project will receive €5.7M ($6.2M) from the European Union. It is coordinated by the Technological Institute of Informatics (ITI) in Spain. Today, only three per cent of container terminals are automated. However, the future of the industry points towards smart ports as the best way to overcome the challenges and demands that arise in the sector.
In the midst of a surge in demand as more people shop online, the parcel delivery sector is struggling to keep up due to a chronic shortage of drivers. Meanwhile, restaurants are struggling to find ways to reduce waste in an industry notorious for razor-thin profit margins. A viable solution to both industries' conundrums could be artificial intelligence. Japan Data Science Consortium Co. (JDSC), a startup incubated at the University of Tokyo, believes it can solve this growing issue using its own AI patent that analyses household electricity data to calculate whether anyone will be home to receive a package during a given time period. In other words, the AI comes up with a delivery route for truck drivers based on the electricity data.
Facing globalization, increased product complexity, and heightened customer demands, companies are taking up advanced technologies to transform their supply chain from a pure operations hub into the epicenter of business innovation. Using sensors and ever-improving internet connectivity, forward-thinking companies are collecting data at every checkpoint, from the status of raw materials flow to the condition and location of finished goods. Machine learning, artificial intelligence (AI), and advanced analytics help drive automation and deliver insights that promote efficiencies -- making on-the-fly route changes to accelerate product delivery, for example, or swapping out materials to take advantage of better pricing or availability. Additive manufacturing is also opening doors to easy production of spare parts, enabling companies to slash inventory, cut costs, and create supplementary revenue streams. These advanced technologies are serving as a springboard for new business models -- for example, many firms are piggybacking off the "internet of things" (IoT) to offer predictive maintenance services that guarantee product uptime while generating recurring revenue.
Logistics and supply chain management is one such industry that plays an important role in our day-to-day lives. It helps us in getting our couriers, baggage, shipments, etc. delivered on time. Logistics and supply chain management not only help us indirect ways, but it also plays crucial roles in indirect ways. Right from the delivery of fuel to petrol bunks to supply of industrial equipment, fruits vegetables, and daily necessities, the supply chain makes its mark in our lives in multiple ways. Thus, it has turned out to be an everyday part of our lives.