Applications of AI in Logistics Name of the Student Student ID Name of the University Author Note Executive Summary The following report will provide an overview of the applications of various aspects of Artificial Intelligence in the field of logistics

Applications of AI in Logistics
Name of the Student
Student ID
Name of the University
Author Note
Executive Summary
The following report will provide an overview of the applications of various aspects of Artificial Intelligence in the field of logistics. The organization AirNobe Logistics Ltd., Australia has been chosen for the purpose. There are more than 8.6 million occupations have decided to adopt modern technologies. Mechanized thinking has been united into as an advantage and is by and by a recognizable model of business, which makes the benefits, for instance, establishment, stages and programming open to the customers by strategies for web. A champion among the clearest livelihoods of Artificial Intelligence is the field of coordination is to handle data, separate the same, conspicuous confirmation of the precedents and outfitting thoughtfulness regarding every perspective required with the coordination, which ought to be successfully conceivable by the chatbots. Overhauling of the organizations to the automated thinking prompts the introduction and change of talk affirmation that assistants in taking in the voice of the agents working with the dissemination focus. Making even more intelligent developments are exorbitant because of the multifaceted thought of the set up process and because of repairing of the contraptions and suitable help. Programming and PC programs that are put to use through the strategies for created thinking required to be upgraded reliably to adjust up to the movements that are accomplished in the business.

Table of Contents
TOC o “1-3” h z u Introduction PAGEREF _Toc525117783 h 3Discussion PAGEREF _Toc525117784 h 3Definition of the terms used PAGEREF _Toc525117785 h 3Logistics Solutions PAGEREF _Toc525117786 h 3Artificial Intelligence PAGEREF _Toc525117787 h 4Recent Development in the AI PAGEREF _Toc525117788 h 4AI changes the need of employers PAGEREF _Toc525117789 h 4AI as-a-service PAGEREF _Toc525117790 h 5Applications of AI in Logistics PAGEREF _Toc525117791 h 5Using Chatbots PAGEREF _Toc525117792 h 5Planning and Machine Learning PAGEREF _Toc525117793 h 6Management of Warehouse PAGEREF _Toc525117794 h 6Natural Language Processing for Data Sanitization PAGEREF _Toc525117795 h 7Autonomous and Self-Driving Vehicles PAGEREF _Toc525117796 h 7AI based applications to be used by the company PAGEREF _Toc525117797 h 8Harnessing data PAGEREF _Toc525117798 h 8Management of Warehouse PAGEREF _Toc525117799 h 8Predictive Analytics PAGEREF _Toc525117800 h 8Limitation of AI in logistics PAGEREF _Toc525117801 h 9Ethical concerns in the use of AI PAGEREF _Toc525117802 h 9Unemployment PAGEREF _Toc525117803 h 9Inequality PAGEREF _Toc525117804 h 10Humanity PAGEREF _Toc525117805 h 10Conclusion PAGEREF _Toc525117806 h 11Recommendations PAGEREF _Toc525117807 h 11References PAGEREF _Toc525117808 h 13

Introduction AirNobe Logistics Ltd. is a large and famous logistics company, established around twenty years ago in Australia. The organization headquartered in Sydney, Australia, operates in almost all states of Australia, and is currently operating in other countries of Oceania. The organization has more than 200 staffs and provides through solutions in terms of logistics to numerous companies, of which the main functions include warehousing, manufacturing and mining. As some of the client companies are expanding, they want the firm, ICT to provide logistics solutions to these companies in that are especially based on artificial intelligence (AI).
In order to provide logistics solutions to the client companies, which are expanding to the other nations of the world, the firm, AirNobe Logistics Ltd. has started to explore new options to expand their businesses during the next five years. The aim of the report is to provide a clear picture of the use of artificial intelligence (AI) in an organization especially in the field of logistics. The report will further discuss about five different sources of application of the technology and would latter on be analyzing the effect of the same while applying the technology of Artificial Intelligence in the chosen field. The report will also analyze the applicability of such technologies in various fields and the ethical issues that might arise due to the application of these technologies in the businesses.
DiscussionDefinition of the terms usedLogistics SolutionsLogistics is the efficiency in the managing of the delivery of goods and services from the area of production to the area at which it will be consumed in order to satisfy the clients The resources that are managed by logistics include various items of consumption such as food, materials, animals, certain equipments and liquid items. Intangible items are also included in the field such as time and information. The flow of goods related to the physical items usually involves assimilation of flow of information, handling different types of material, production, packaging of the items, transportation of the products, warehousing and security of products and information.
Artificial Intelligence
Artificial Intelligence (AI) is the ability of the digital computers or robots controlled by computers to perform tasks that are usually associated with intelligent life. The term has frequently been applied to the project if developing systems that are enriched with intellectual processes that possesses similar characteristics to that of humans (Zhang et al., 2015).
Recent Development in the AI
AI changes the need of employers
In order to augment the performance of AI, nearly all companies have to view the technology of Artificial Intelligence as a creator of different types of jobs rather than looking down to it as a threat to it. More than 8.6 million jobs have decided to replace it with automated technology. Despite the following issue, there is a growth in the recognition in the technology and most of the companies are of the view that AI creates opportunities of employment that did not existed previously (Porteous, Sebastia & Hoffmann, 2014). Most of the employers of different companies are looking for coders, programmers and technicians who are capable of monitoring and maintaining complex and artificially intelligent systems.
AI as-a-service
Artificial Intelligence has been combined into as-a-service and is now a prominent model of business, which makes the resources such as infrastructure, platforms and software available to the users by means of internet. The most prominent technology, Software-as-a-Service (SaaS) that was mainly driven by Google, Microsoft and Salesforce, matured and got its complete recognition during the last year. This model has been enabled by cloud computing, but there was a huge flow of information and in order to maintain the same, the cloud needed to be smarter and more advanced. The providers then focused into deep learning in order to make the cloud more advanced so that it is capable of handling the flow of information.
Applications of AI in LogisticsUsing ChatbotsMost of the logistics have been using the internet for a long period as a mode of communication that had been using instant messages, but now there are various arrangements and flow of queries (MacCarthy, 2018). These queries and the conversations that surround them are being automated with the use of chatbots and help in planning the acquisition of related tasks through automation and augmentation. These chatbots can be further used in helping with the initial steps of planning and the information that is received through these means helps in determining the validity of the leads that are being generated. This method helps the providers to connect with the customers through direct calls and text messages and the advancement of chatbots have helped in completing various other tasks besides communicating with the customers. The logistic company, Amtrak has adopted the use of chatbots in order to deliver information to its customers and has made a record of answering 5million questions annually.
Planning and Machine Learning
Machine learning is considered as the twin of Artificial Intelligence. Intelligence can only be achieved through the process of learning and if the machines have to be, intelligent in carrying out the day to day activities of a business they need to undergo the process of learning automation. In the field of logistics, machine learning can be incorporated into the process of planning if the firm is not comfortable and ready enough to make use of it in the process of execution of tasks. The technology effectively helps in the process of forecasting the demand and supply of goods in the inventory. The famous company, Kings R=Transport and Logistics have adopted this method to process the data and information and to carry out the daily activities of business.
Management of Warehouse
Warehousing or storing of the final products that are fit for consumption is one of the most important parts that is undertaken by all the logistics company, which requires complete understanding of the inventory, the demand, the supply and the challenges in order to facilitate smooth transition between the producers and the customers of a particular product. Both the technology of machine learning and artificial intelligence are the best and the most useful at this point of time. This is because the planning and management of warehouse depends on the intelligence that is usually gathered from the data. The data has the capability of analyzing vital pointers, which includes supply floors such as overstocking as well as understanding of the goods (Aguezzoul, 2014). Besides, the technology is also capable if determining the attributes of durability and awareness of the damages that might cause to the products while they are stored in the warehouses. SCT Logistics, carrying out their operations in the whole country of Australia has adopted Ai in order to manage their warehouses.
Natural Language Processing for Data SanitizationNatural Language Processing, commonly abridged as NLP, is an element of artificial intelligence that helps in the analyzing and breaking down the data and information gathered in foreign languages and establishing the information in such a way that will further help in processing the data. The huge amount of data that is encountered by the logistics industry, it is important to analyze the data before making any decision that are concerned with the businesses. The facet of Natural Language Processing develops along with Machine Learning and artificial intelligence helps the business in analyzing and cleans the data from viruses. Air Road in Australia help to process and gather information for their business by adopting the technology of Natural Language Processing for Data Sanitization.

Autonomous and Self-Driving VehiclesIntelligence in the field of logistics has become a centre stage in the recent years. Faster and more accurate shipping and transportation of goods reduces time and expenses caused due to transportation, adding environmental friendly operations, reducing the cost of labour and helps in widening the gap between the competitors (Gubbi et al., 2013). Possibility in the development of autonomous vehicles, it will have a great impact in the field of logistics as it will reduce the cost and time to transport the goods from one place to another. Transportation of goods by trucks and other methods that require work force has an adverse impact on the organization. This is because they also require taking rest and cannot work throughout the day, which is not the case with the automated cars. The company Tesla Motors have invented the automated and self-driving cars and are using the same (Autonomous Cars,2018).
AI based applications to be used by the company
Harnessing data
One of the most clear uses of Artificial Intelligence is the field of logistics is to harness data, analyze the same, identification of the patterns and providing awareness to every aspect involved with the logistics, which can easily be done by the chatbots. Chatbots is the most common and the most important applications of AI that can be implemented with the organization in discussion, AirNobe Logistics Ltd. This will help the organization to have effective communication with their customers both the domestic and the international clients. None of the managers of a firm would be interested to say the same thing in order to solve the problems and queries raised by the customers, which can easily be solved with the introduction of chatbots. AirNobe Logistics Ltd. can take the help of this application not only to solve the problems of the customers and to maintain better relationships with them but also to assess the validity of the leads that are being generated through the means of raising queries.
Management of WarehouseOther than machine learning, the firm, AirNobe Logistics Ltd. can make use of other application of AI as well, the popular among them involves speech recognition and robotics. Improvements artificial intelligence that leads to the introduction and development of speech recognition that helps in learning the voice of the employees working with the warehouse (Haslum & Geffner, 2014). This most convenient technology can be applied when the employees are picking up goods from the warehouse and maintain as well as confirming the accuracy of the records of the inventory.
Predictive AnalyticsThe most advanced revolution in the field of logistics is the AI generated predictive analysis that helps in predicting the demands, optimization of the routes and handling the management of network. AirNobe Logistics Ltd. can also involve the use of the model of machine learning and planning and according to a study conducted, this technique is able to analyze data from 58 different parameters and is able to predict the average time required to transit on a daily basis.
Limitation of AI in logistics
One of the main limitations in the introduction and use of artificial intelligence in the field of logistics is the cost of implementing the same (Top 9 ethical issues in artificial intelligence, 2018). Creating smarter technologies are expensive because of the complexity in nature of the set up process and due to repairing of the devices and proper maintenance. Software programs that are put to use through the means of artificial intelligence required to be upgraded regularly in order to cope up with the changes that are brought about in the business. In case of breakdown of the machines and software programming, all the data as well as the codes that has been stored within it would be lost and the firm will have no other alternative to retrieve to back and the process of restoring the same is time consuming and expensive (Karaboga, 2014).
Ethical concerns in the use of AIWith the speedy development of artificial intelligence, a number of ethical issues have also developed. Some of these are as follows:
Unemployment Multiple command of work is the principally associated with the use of machines and modern technologies. With the approaches and advancements to robotize employments, it could make space for individuals to accept more intelligent job opportunities, that differs greatly from the physical work. Analyzing the work at trucking at present, it utilizes a great number of people in the United States alone. The changes that are brought if self-driving trucks guaranteed by Tesla’s Elon Musk are estimated to have adverse effect on the society. Self-driving trucks appear like a moral decision in most of the firms. A similar situation would happen to the other officers of the firms, and in addition to most of the workforce in the most advanced and developed nations (MacCarthy, 2018).

Inequality
The economic system depends on remuneration for commitment, which has frequently evaluated in utilizing a time-based compensation. Most of the employees working in most of the firms are yet subject to work on hourly basis concerning the products and administrations of the firm. In most cases, utilization and introduction of fabricated intelligence, an organization can definitely eliminate work that needs to be dependent on the workforce, there will be least number of employees receiving justified income. Therefore, people who are interested in AI will profit. Presently, the people are observing an extending hole, where start-up firms bring home a substantial segment of the financial surplus they are able to make. In 2014, similar incomes were created by the three greatest organizations in Detroit and the all the three were located in Silicon Valley, just as there were 10 times less representatives (Karliuk, Karliuk ; Staff, 2018).

Humanity
Artificially intelligent chatbots are winding up at a faster and better rate at displaying human discussion and connections. In 2015, a chatbot named Eugene Goostman won the Turing Challenge unexpectedly. In the following test, human raters were used to utilize the content of contribution to talk with an obscure element, at that point, which is further speculated whether they had been visiting with a human or a machine. Eugene Goostman tricked the most part with the human raters and supposed that they had been conversing along with an individual. The development was just the beginning of an age where the organizations have a chance to collaborate with machines as people regardless of the fact often perform it whether in client administration or deals. While people are constrained in the consideration and benevolence they are likely to exhaust on someone else, counterfeit chatbots can help in the formulation of essentially boundless assets into building connections.

ConclusionThe main objective of the report is to provide an overview of the utilization of fabricated brainpower (AI) in an association particularly in the field of coordination. More than 8.6 million occupations have chosen to supplant it with computerized innovation. Computerized reasoning has been consolidated into as a benefit and is presently a noticeable model of business, which makes the assets, for example, foundation, stages and programming accessible to the clients by methods for web. A standout amongst the clearest employments of Artificial Intelligence is the field of coordination is to tackle information, break down the same, recognizable proof of the examples and furnishing attention to each viewpoint required with the coordination, which should effectively be possible by the chatbots. Upgrading of the firms to the computerized reasoning prompts the presentation and improvement of discourse acknowledgment that aides in taking in the voice of the representatives working with the distribution center. Making more quick-witted innovations are costly because of the intricate idea of the set up process and because of repairing of the gadgets and appropriate support. Software and computer programs that are put to use through the methods for fabricated reasoning required to be redesigned consistently to adapt up to the progressions that are achieved in the business.

Recommendations
After analyzing the report and the effects of artificial intelligence, it is recommended that the AirNobe Logistics Ltd. should make use of the technology in order to perform well in the business activities and to operate in the international markets. With respect to the use of chatbots, AirNobe Logistics Ltd. can easily collect the data and information regarding the preferences of the customers as well as solving the queries related to the delivery of the products. The company can analyze and predict the demand and supply of goods to the customers as well. Though the firm adopts the use of the technology and applications of AI, it must also rely upon its employees and train them to help in the use of these applications.

ReferencesAcademic Journals
Aguezzoul, A. (2014). Third-party logistics selection problem: A literature review on criteria and methods. Omega, 49, 69-78.

Gubbi, J., Buyya, R., Marusic, S., ; Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future generation computer systems, 29(7), 1645-1660.Haslum, P., ; Geffner, H. (2014, May). Heuristic planning with time and resources. In Sixth European Conference on Planning.Karaboga, D., Gorkemli, B., Ozturk, C., ; Karaboga, N. (2014). A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artificial Intelligence Review, 42(1), 21-57.

Porteous, J., Sebastia, L., ; Hoffmann, J. (2014, May). On the extraction, ordering, and usage of landmarks in planning. In Sixth European Conference on Planning.Zhang, S., Lee, C. K., Chan, H. K., Choy, K. L., ; Wu, Z. (2015). Swarm intelligence applied in green logistics: A literature review. Engineering Applications of Artificial Intelligence, 37, 154-169.Magazines and Websites
(2018). Retrieved from https://www.forbes.com/sites/quora/2018/08/07/how-artificial-intelligence-will-impact-the-aviation-industry/#5f5abc58574fAutonomous Cars. (2018). Retrieved from https://www.theverge.com/autonomous-carsKarliuk, M., Karliuk, M., ; Staff, M. (2018). The Ethical and Legal Issues of Artificial Intelligence. Retrieved from https://moderndiplomacy.eu/2018/04/24/the-ethical-and-legal-issues-of-artificial-intelligence/
MacCarthy, M. (2018). The ethical challenges of AI. Retrieved from https://www.cio.com/article/3273324/artificial-intelligence/the-ethical-challenges-of-ai.html (2018). Retrieved from https://www.forbes.com/sites/quora/2018/08/07/how-artificial-intelligence-will-impact-the-aviation-industry/#5f5abc58574fTop 9 ethical issues in artificial intelligence. (2018). Retrieved from https://www.weforum.org/agenda/2016/10/top-10-ethical-issues-in-artificial-intelligence/