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OMQ x OMR Digital Masterclass 2020 - Customer Service is Marketing

In our 45-minute Masterclass we explain together with OMR why good customer service is the best marketing.

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We are looking forward to participating at the OMR Digital Masterclasses with our own Masterclass on June 18th at 9.00 am.

How to use your customer service as a powerful marketing tool in e-commerce

In our 45-minute masterclass we will show you how to use simple tricks and AI to support your customers 24/7, improve customer communication and thus strengthen your brand identity. After the Masterclass, we look forward to answering your questions in the Q&A session and chatting with you live.

These are the topics of the Masterclass

  • Why is Customer Service an underrated marketing tool?
  • How can you give advice to your customers 24/7 and answer their questions?
  • Which contact points and channels must you service?
  • How can you avoid bad reviews and achieve a high recommendation rate?

In this Masterclass we show you how to improve your customer communication overnight with easy tricks. Since some years now, we have been advising online retailers such as Tchibo, DefShop and Brille24 on how to make their service better and more efficient. An important tool for that is the implementation of AI to reply to recurring questions automatically in real time. Especially in the current crisis, it is important to become even more efficient in this area.

OMQ are the experts in customer service

OMQ has been successfully developing a system to automate the processes in customer service for several years. By working together with international research institutions, OMQ has developed a self-learning artificial intelligence, which understands the intention of the customers’ request and answers them automatically in 32 different languages. The central system manages the service knowledge for all communication channels such as chat, contact form, e-mail inbox, help page and ticket system.

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Explainable Machine Understanding and Examples for Clinical Applications - Lecture by Alexander Löser

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