REPLY'S TECHNOLOGIES AND APPLICATIONS OF IPA Davide CentonzeSeven accelerators developed by Reply to implement Intelligent process automation within the enterprise 1 IPA-enabling technologies Intelligent process automation involves significant changes for a business from every angle. Issues of technological availability within the company must therefore always be taken into account. In particular, specific algorithms must be available to systemise focal points of decision-making and to carry out the data analysis needed for training the algorithms involved. Some of the technologies that enable the move from robotic process automation to intelligent process automation include: ICR (Intelligent Character Recognition): technologies allowing information to be read from documents or forms that use previously unfamiliar templates and to “understand” their meaning; NLP (Natural Language Processing): tools able to interact with humans using natural language, for example by retrieving information from written texts such as emails, understanding the texts involved, and using the information they contain to systemise the focal points of decision-making; Intelligent vision: ones that make it possible to recognise, compare and classify images. 2 The accelerators developed by Reply Enterprises are faced with the choice between finding information and algorithms from other sources or developing everything in-house, using their own data libraries as the basis. Drawing on its business process expertise and its experience in integrating RPA and machine learning technologies, Reply has developed seven Intelligent process automation solutions that rely on smart technologies: Automated invoice, management of the accounts payable cycle, from entering the data contained in invoices and purchase orders to verifying and reconciling the figures involved, while highlighting any differences identified. Claim Prediction in Telcos, a tool for the telco sector based on a predictive model that automatically assigns a “churn score” to each user in the customer base, allowing CRM and customer retention activities to be generated. Employee monthly expenses, automatically creating employee expense reports based on the collection of receipts, categorising the expenses involved, verifying the accuracy of the expense report submitted, and managing the approval phase. Know Your Orders, a chatbot for retrieving all necessary information from the multiple business systems involved, so as to obtain real-time updates on the status of orders received from a customer in order to analyse the main KPIs or to request customer information. Match up, a tool for analysing complex data sets, in order to combine and reconcile them. The solution is easy to use, flexible, and autonomously follows a set of predefined rules, enriching the information involved and recommending the actions to be taken in relation to the data (reconciliation proposal or suggestions report). Data Driven Machine Learning RobotsIntelligent Process AutomationData Robotics, defined as the set of technologies, techniques and applications required to design and implement a new automation process based on self-learning and artificial intelligence technologies, facilitates the introduction and integration of automation into organisational processes. Thanks to the application of “smart” technologies Intelligent Process Automation guarantees an improvement of Robotic Process Automation, facilitating the evolution from solutions that handle straightforward and recurring tasks, to new paradigms based on machine learning techniques.