An Understanding of Robotics Process Automation

1. An Understanding of Robotics Process Automation Robotic process automation is the new branch of computer science that is also considered to be the tomorrow of every business. This technology comprises features such as predictive analysis, speech recognition, biometrics, natural language processing and machine and deep learning. Robo advisor or RPA is formed with an objective to develop machines or computers that are as smart and intelligent as human beings. As per the father of artificial intelligence, “John McCarthy” AI is defined as the science that will help in developing intelligent machines. AI is a science that is working to make machines work and act as intelligently as a human being can. Hence, robotics process automation and AI are inter-related with one another. The objective of RPA is achieved by analyzing the way in which human brain functions (it thinks, learn, decide and work) when it is dealing with a problem. Aim The main objective of RPA is: • To develop systems that will be able to exhibit intelligent behavior, learn, demonstrate, and make decisions, advice and explanations. • To develop systems that will be able to operate as human beings in every possible way. Application The role of robo advisor has been of dominance in various sectors such as: • Gaming • Speech recognition • Expert systems • Natural language processing • Vision systems • Intelligent robots • Handwriting recognition RPA in Logistics RPA and logistics is the best combination that can be implied by businesses, seeking a competitive edge. It is also identified as a necessary combination that the countries should

2. implement to ensure future in the competing environment. Use of Robo advisor in the field of logistics can be very beneficial both to the logistics businesses and the customer. As per the report from IBM and DHL, it has been stated that robotics technology will help logistics provider to deliver goods to customers even before the customer has ordered them. This has resulted in the development of a new group of intelligent logistics assets and operational paradigms. Types of application The five different types of applications using RPA in logistics or any businesses are explained below: Transportation Autonomous logistics have been the primary force that has led to the innovation of self- driving vehicles on the road, for example, driverless cars and unmanned vehicles in the sky for instance drones. Unmanned vehicles or driverless vehicles such as trucks are used by logistics organizations to transport products to different destinations without any delay and tiredness. With the use of RPA in transportation long journeys can be carried out quickly without any delays. Sensors installed in the vehicles allow vehicles to travel without any accidents. Through AI tracking of the trucks carrying goods can be done quickly and it can be assured through this tracking system that the truck doesn’t deviate from its course. Unmanned vehicles in the sky are being utilized by many organizations to deliver goods in a remote area and mountain regions. This is the best possible solution for the quick delivery of the products and to reach places where otherwise it would have been difficult to reach. Many organizations such as Google have been spending a lot of revenue in developing self-driving vehicles so that they could achieve faster and timely delivery of goods. General electricity has also introduced into its vehicles so that its locomotives can achieve enhancement of speed and safety. Internet of Things (IoT) As per the analysis, it has been identified that by the end of 2020 over 50 million objects would be connected to the internet. IoT will act as a connection between logistics and internet. Robotics process automation in IOT can be used in warehouses to keep a complete track of the goods that are present in the storage facility. Sensors will be added to the products or the physical stock that will help in maintaining the inventory. DHL, the global logistics provider, has emphasized that how IOT and RPA can be used to optimize operations.

3. As per the reports of DHL a world that will comprise of manufacturing, logistics, warehousing and deliveries will become high. With the use of technology and IoT, it will be achieved efficiently and effectively, delivering high profits. As per the details shared by Tim Young of Vero Solutions, AI and IOT can be used effectively from transportation management to management of warehouses. Inventory processes and employee wages are the three areas that are benefited from IOT and RPA. It is believed that robotics technology is going to revolutionize and improve the processes at warehouses. Utilization of chatbots by the logistics organizations Organizations are using Robo advisor based applications such as chat bots to offer their clients instant services. Chatbots are applications that are completely based on the technology and offer clients instant services by answering their queries through an instant chat window. The chat window that is being offered by the chat bot application is used by the customers so that they can interact with the organization. The interface on which the chat bots are developed is very simple and user-friendly. This instant chat window allows the users to communicate messages and share details about the product, such as its images and its description. All the conversation that occurs through this application is in real time (replies to the queries made by the customer will be given instantly). Predictive analytics The most revolutionizing application that will be offered by RPA to logistics is predictive analytics. Predictive analytics are generated by the technology to predict the demand, for network management, optimization of routes and handling. One of the best examples that are available for the application of predictive analytics is by DHL. DHL has developed a machine learning based tool to perform the task of predictive analytics. The tool allows DHL to make predictions about air freight transit time delays. The predictions that are made by the machine are completely based upon the 58 different parameters of internal data. By the data analysis, the machine can predict if the average transit time for a lane in the coming week is expected to be high or is expected to be low. Artificial intelligence based robotic arm This application can be identified as the latest development in RPA that is being implemented by organizations in logistics. Various organization have been using robotics arm in their organization so that objects can be lifted from one place to another. The arms are programmed in such a way that they can fulfill the requirements of the organization.

4. After the implementation of the Artificial intelligence based robotics arms the need for the requirement if the manual labor in the logistic industry has reduced significantly. Robotic arms allow the movement of goods from one place to another in a quick time frame and with fewer workforces. It also is used by organizations to load and unload a vehicle quickly. Final words In this post, complete information about Robo advisor has been provided along with the various benefits that it will offer to the society and different business sectors. Implementation of RPA in the logistics industry has been discussed in great detail. The post consists of information about the utilization of five of the application in the logistics industry based in all around the world.