Systematic logistics, conveyance amenities and facilities as well as warehousing information play a key role in fostering profitable development in a supply chain. The aim of transformation in industries is the improvement of the resiliency regarding the supply chain. The resiliency policies are required for companies to affect the collaboration with logistics service providers positively. The decrement of air pollutant emissions is a persistent advantage of the efficient management of logistics and transportation in supply chain. The management of shipment type is a significant factor in analyzing the sustainability of logistics and supply chain. An automatic approach to predict the shipment type, logistics delay and traffic status are required to improve the efficiency of the supply chain management. A hybrid graphsage network (H-GSN) is proposed in this paper for multi-task purpose of logistics management in a supply chain. The shipment type, shipment status, traffic status, logistics ID and logistics delay are the objectives in this article regarding three different databases including DataCo, Shipping and Smart Logistcis available on Kaggle as supply chain logistics databases. The average accuracy of 97.8% and 100% are acquired for 10 kinds of logistics ID and 3 types of traffic status prediction in Smart Logistics dataset. The average accuracy of 98.7% and 99.4% are obtained for shipment type prediction in DataCo and logistics delay in Shipping database, respectively. The evaluation metrics for different logistics scenarios confirm the efficiency of the proposed method to improve the resilience and sustainability of the supply chain.

Over the years automotive vehicles have become increasingly connected, and so connectivity will increasingly underpin the future of the industry. At least that's the view that was discussed by Steve Bell, chief analyst – connectivity, Informa Tech Automotive Group at September's WardsAuto Intelligence Outlook Conference at The Townsend Hotel, Birmingham, Michigan. It also suggests that there is an evolution in vehicle architecture, and a transition to software-defined vehicles that will depend on connectivity to ensure they are up-to-data and cyber-secure. The executive summary of his presentation adds: "The rapid evolution of BEVs means the traditional vehicle business model of profit on initial sales is being replaced by lifetime earnings that rely on over-the-air (OTA) upgrades to enhance the vehicle value to consumers." Bell says connectivity enables the vehicle to cloud continuum.

As the world battled the Covid-19 pandemic, there has been a greater emphasis on the use of technology and artificial intelligence to improve the performance of companies across various sectors. "India has played a significant role in developing some innovative solutions during the pandemic. It has the potential to become a hub for Artificial Intelligence-based solutions," said Romal Shetty, President, Consulting at Deloitte India. A survey by Deloitte of over 2,700 executives found that AI has provided organisations with a competitive advantage and most organisations are aiming to harness its power on a broader level and increase investments across AI implementations. A Deloitte-CII report titled- 'The Age of With: Humans & Machines' highlights, "Machines are transforming the way we do business and almost every component of our daily lives. It is not about people versus machines, it is about augmenting humans with machines to reach even greater heights, combining the intelligence and power of machines with the creativity of humans. The intelligence is artificial from machines, but the implications are very real."

By some estimates, the world generates 2.5 quintillion bytes of data every day. Yet only a sliver of that volume, much of it residing on enterprise servers, is fully leveraged to drive a deep understanding of the enterprise and how to improve it. What value lies untapped within all that data? As business leaders grapple with these questions, they rely increasingly on emerging cognitive technologies like artificial intelligence, machine learning and blockchain. When these technologies are coupled with cloud-based multi-enterprise networks, thought-leading companies are able to unearth, analyze and act upon critical insights across business lines and foster the emergence of intelligent enterprises.

In the last few years, many asset-intensive organizations, particularly in the mining, power and utilities, oil and gas, and chemicals industries, have turned to industrial Internet of Things (IIoT) and cognitive technologies to help improve a critical area of their business: equipment reliability.1 Asset performance management (APM) programs, which connect data and trigger actions via systems across the business, can play a major part in driving these improvements. According to a 2018 Deloitte survey, oil and gas leaders rated the big data derived from programs such as APM as the most likely to provide the greatest business value.2 However, when asked about how digital technology can be used most effectively within their companies, those same executives ranked APM below both cost reduction in maintenance and operations as well as improvements in safety.3 This seems to reveal a pervasive and narrow view of APM that may miss the connection between asset performance, broader maintenance and operations improvements, and safety. Merely implementing APM software and digitizing existing processes is not likely to improve core operations and obtain the financial results that executive leaders desire (and investors demand).

As Industry 4.0 sweeps across the supply chain, it's clear it will have a significant impact on everyone involved. Still, the question is how so? As you'd expect from a name such as Industry 4.0, profound and revolutionary changes are coming to various industries, including manufacturing, development, and the modern supply chain. Industry 3.0 was the widespread adoption and rollout of automated technologies. Toward the end of this era, better and more efficient automation systems were introduced and now, players are using modern smart devices and data to improve and optimize the systems.