In recent years, the high complexity of the business environment, dynamism and environmental change, uncertainty and concepts such as globalization and increasing competition of organizations in the national and international arena have caused many changes in the equations governing the supply chain. In this case, supply chain organizations must always be prepared for a variety of challenges and dynamic environmental changes. One of the effective solutions to face these challenges is to create a resilient supply chain. Resilient supply chain is able to overcome uncertainties and disruptions in the business environment. The competitive advantage of this supply chain does not depend only on low costs, high quality, reduced latency and high level of service. Rather, it has the ability of the chain to avoid catastrophes and overcome critical situations, and this is the resilience of the supply chain. AI and IoT technologies and their combination, called AIoT, have played a key role in improving supply chain performance in recent years and can therefore increase supply chain resilience. For this reason, in this study, an attempt was made to better understand the impact of these technologies on equity by examining the dimensions and components of the Artificial Intelligence of Things (AIoT)-based supply chain. Finally, using nonlinear fuzzy decision making method, the most important components of the impact on the resilient smart supply chain are determined. Understanding this assessment can help empower the smart supply chain.

How Emerging Technologies are Shaping the Future of Supply Chain and its impact in addressing the Supply Chain Challenges? The supply chain industry has witnessed a paradigm shift, especially in recent times due to the disruption caused by the Pandemic. The industry is now considering an intrinsic part of the overall business strategy, thanks to the Covid-19, which has made the adoption of Digital Transformation a need of the hour in every industry. Besides, supply chain networks face enormous pressure caused by rising and shifting customer expectations for various products and services. The pre-covid era faced challenges relating to additional customer service requirements or fulfilment needs. The businesses responded by ramping up hiring and also throwing more people to address the problems.

Let's all agree: the pandemic has reshaped the global supply chain. Multiple lockdowns paired with temporary trade restrictions and workforce shortages unveiled vulnerabilities in supply chains that were previously unseen. The drastic change of the landscape forced supply chain executives to up their strategic management game. To do so, some of them have turned to innovative technologies, with supply chain AI leading the race. In fact, while it is a standard practice for enterprises to hold up their digital transformation projects in times of economic uncertainty, the COVID-19 crisis did not stop supply chain decision-makers from turning to artificial intelligence solutions providers.

Artificial Intelligence (AI) and retail are a good fit. The COVID-19 pandemic has accelerated digital transformation worldwide and is whipping up different business verticals to adopt various AI technologies. As per the UNCTAD survey, more than half of consumers of the emerging and developed economies are shopping online. The part of AI in the retail market in 2020 was valued at USD 1,80 billion and is expected to reach USD 10,90 billion at a CAGR of 35% by 2026. It seems like it is high time for going big or going home for retailers.

As governments and health care agencies work to stop the spread of Covid-19 and to treat those who are infected, manufacturers in more than a dozen industries are struggling to manage the epidemic's growing impact on their supply chains. Unfortunately, many are facing a supply crisis that stems from weaknesses in their sourcing strategies that could have been corrected years ago. Just how extensive the crisis is can be seen in data released by Resilinc, a supply-chain-mapping and risk-monitoring company, which shows the number of sites of industries located in the quarantined areas of China, South Korea, and Italy, and the number of items sourced from the quarantined regions of China. After the March 2011 earthquake and tsunami in Fukushima, Japan, many multinationals learned painful lessons about the hidden weaknesses in their supply chains -- weaknesses that resulted in loss of revenue, and in some cases, market cap. While most companies could quickly assess the impacts that Fukushima had on their direct suppliers, they were blindsided by the impacts on second- and third-tier suppliers in the affected region.