Published on 23|4|2019 by David Radosta & Aleksandra Adamczyk
Repeatable duties, persistent data processing, sometimes problematic contact with the client. Almost 25% of administrative and customer service employees are dissatisfied with their work. The artificial intelligence of the SentiSquare startup, which will help the employees in their routine duties, comes to the rescue.
Almost 25% of administrative and customer service employees are dissatisfied with their work, and over 30% of them admit that in the last half-year they decided to change their employer - reads in the Labor Market Monitor survey conducted by Randstad. Reason? The desire for professional development.
The question is, how can an employee develop if he performs the same tedious job of routine duties on a daily basis?
And yet it is customer service that should be improved to remain at the highest possible level. It is the key indicator of the company's competitiveness. Good recognition of the client's needs and adaptation of products or services to his preferences directly affects sales and a positive financial result.
Solutions we are working on not only help companies and entrepreneurs, but above all employees - says Stanislav Rejthar, CEO of SentiSquare. - We believe that everyone should perform only those duties in which he feels good and who develop it. The rest, or repetitive routine work, should be outsourced to algorithms.
Regardless of industry and sector, each business is based on huge amounts of text data. We are talking here not only about the exchange of emails with the client, but also about transcriptions from telephone conversations, processing of feedback or even news from social media. It is estimated that corporations have to process more than hundreds of data on a daily basis.
Who actually does this job? Most often employed in administration or customer service departments. Unfortunately, it often happens that excess data or repetitive work overwhelms employees, which leads to frequent rotation in companies. As of today, over 10.200  employees are sought for positions related to data processing and customer service in Poland.
The answer to personnel problems is automation, which will not only help fill employee gaps, but can also open new fields of productivity in the company.
Our algorithms are based on machine learning, so they deal great with every text: e-mails, text messages, and even comments on social media. It also does not matter in which language the text is written or whether it contains typos or grammatical errors. Artificial intelligence will cope with everything - explains Stanislav Rejthar.
SentiSquare is a technology company that deals with customer-generated text analysis. As one of the few companies uses artificial intelligence based on principles of distribution semantics, which provides many competitive advantages, such as language independence. The company was founded in 2014 as a spin-off by team of researchers at the Faculty of Applied Sciences of the University of West Bohemia in Pilsen. SentiSquare currently supplies technology to the contact centers of large companies such as T-Mobile, E.ON or Albert.
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