Project description
Customer service changing face
Artificial intelligence is revolutionising customer service. From booking appointments to ordering food, customers have become increasingly at ease with automation. Experts predict that nearly 9 in 10 customer service interactions will be automated by as early as next year. USERBOT is working on customer service automation in acquisitions and payments. The response from enterprises has been promising even from the first three months of Userbot's operation with Italian-based financial companies showing the most interest. Userbot was picked from a selection of 300 startups and awarded the Artificial Intelligence Worldwide Software Vendor Selection in 2017.
Objective
Userbot provides Artificial Intelligence for Customer Service. We have developed an innovative technology platform based on Machine Learning, Deep learning, Artificial Intelligence and Sentiment Analysis to interact with customers in a natural language on every digital channel. Userbot’s proprietary AI technology that reached TRL7 is developed internally and we are constantly improving it. We are currently working on the automation of customer acquisition and payments, as well as developing a special Agency dashboard. The basic AI remains one of the main areas of investment, optimizing and simplifying the AI model Training and improving the performance of Natural Language Processing. Our team is composed by seasoned experts with commercial and management experience, supported by 4 advisors with decades of experience in the sector. The Milan Polytechnic as partner and shareholder, allows us direct access to technology transfer to artificial
intelligence research.
Our success has already been remarkable. In the first 3 months of operation, we received numerous responses, in the Finance, Banking and Insurance sectors, as well as from Startups, SMEs and Public Authorities. Our service is currently used by companies such as Agos, Moovenda, Buzzoole, LeCicogne and PAs such as Regione Emilia Romagna and the Sesto Fiorentino Municipal Authority. In September 2017, we won the Artificial Intelligence Worldwide Software Vendor Selection, from more than 300 Startups and technology companies already established at international level and were awarded a contract with Agos Ducato S.p.A. Financially we can count on over half a million euros of investments. In March 2018, we achieved a capital increase of € 300,000 with some Business Angels that became part of the shareholders; whilst in July 2018, the equity crowdfunding on Crowdfundme raised € 200,000, with the entry of 131 new shareholders. The SME instrument phase 1 project is thoroughly aligned to Userbot’s strategy.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology industrial relations automation
- social sciences economics and business business and management commerce e-commerce
- social sciences economics and business business and management business models
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
20145 MILANO
Italy
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.