At ServisBOT, we are passionate about customer service and believe that modern technology can play a role in reinventing a new class of service that puts the customer first and not the process. Our mission is to set a new benchmark for great customer service in a digitally transformed world by delivering simple, elegant and powerful solutions in customer interaction management. We believe technologies such as machine learning, natural language processing and voice recognition can help to achieve this.
Our product allows consumers to engage with a company in a manner and timing that works of them using common messaging apps and in-app chat. They receive a first-class service without all the waiting, transferring and repetition associated with a typical service experience. The product uses chatbots and machine learning to improve automation and efficiency, as well as collaboration tools and user-driven command interfaces to provide a single view of the customer and improve agent productivity.
Messaging and chat apps have overtaken social media apps in terms of sheer volume and usage, and have become the predominant form of communication for many people. This is the future of one-to-one communication. There are many different apps that all have unique features, which means that consumers often have two or more apps that they regularly use to communicate.
Artificial intelligence (AI) has been around a long time but the technology has matured in recent years. The processing power of everyday computers and smartphones, and the ability to transfer and process large volumes of data, means that AI is no longer the stuff of science fiction ̶ think Siri, Alexa and Cortana. The next phase is applying this to everyday problems to make life easier and provide a better user experience.
Collaboration tools such as Slack and Teams are showing how messaging and chat can help reverse the growth of email in the workplace. Indeed, the combination of human interaction and bots is changing the nature of office work and how we communicate with our colleagues and customers.
Machine learning and big data often go hand in hand as we move from a world of business intelligence (reporting on past aggregates) to a world of predictive analytics (reporting on predicted insights). This is only possible through the application of machine-learning algorithms to the vast amounts of data that is generated all around us every day. Machine learning is not an activity in itself, but it will become a property of all applications that need to adapt in an agile, digitally transformed world.
We are a diverse bunch of people with a common purpose: to deliver simple but powerful technical solutions to customer interaction management challenges. We come from a variety of backgrounds including customer service operations, open-source, mobile app platforms and cloud technology.
Prior to this, Ray worked in a variety of senior contact centre operational and management consulting roles for Sky Betting &Gaming, RWE npower, AT&T and Verizon Wireless, AOL, Digifone, Virgin, QVC and Barclays.
Chris has also worked in a variety of senior Software development leadership and Architecture roles across a number of sectors including Nuclear, Maritime, Satellite Comms, Airline and Engineering industries for companies including British Airways, Royal & Sun Alliance, BNFL, Inmarsat and Lloyds Register.
We are keen to recruit like-minded individuals who have a keen interest in the following technologies:
If you believe that great technologies such as these can transform the lives and of the ordinary consumer and deliver great experiences to them, we would love you to join our team. Send your resume/CV to firstname.lastname@example.org