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Tag Archives: Bot

How We Built the Wine Bot Margot for Lidl

The following is a guest blog by Tobias Goebel, Director of Emerging Technologies at Aspect. For more information on Aspect, visit their website. 

It was mid-July 2017 when I got an email from a sales colleague about a potential chatbot opportunity with a short window to respond. The prospective customer was the UK branch of supermarket chain Lidl. The Lidl digital marketing director and his team had already looked at a variety of vendors and were ready to make a selection, but they were still open to listening to us. It was a long shot, we thought, but we still wanted to give it our best effort.

Fast forward 5 months, and we’re seeing tweets like this from the Daily Mail and The Sun:

Wow, what had happened? Well, a fantastic team effort is what had happened.

Winning Team Lidl Over

Lidl saw value in:

– our expertise around all things Customer Experience

– our unique approach to Natural Language Understanding with support for many languages

– our “cloud clout” and the resulting time-to-market

– our design-once-deploy-anywhere framework that allows taking one bot and deploying it on channels like FB Messenger, SMS, Amazon Echo, IVR, etc. with minimal additional effort

– our experience in building and hosting enterprise-grade, transactional customer self-service solutions that integrate into the larger marketing and contact center ecosystem of a multi-national corporation, including the ability to expand into eCommerce

From our Press Release: https://www.aspect.com/company/news/press-releases/lidl-uk-launches-ai-wine-chatbot-to-uk-customers-with-aspect-software

How does a conversation with Margot look like? Have a look here:

When implementing the application, we decided to work with one of our long-time application development partners, 2-steps-ahead, who has been building voicebots on our IVR and chatbot platform, Aspect CXP™, for over a decade. Internally, we had all of the right people in place and ready to take on this project: Aspect Professional Services provided the project management and architectural support, R&D provided support by our on-staff linguists. With the combined forces of our team and 2-steps-ahead we were ready to embark on the buildout of the solution. Continue reading

Chat vs. Messaging for Customer Support: Why Messaging Wins

The following is a guest blog by Krysta Gahagen, Product Marketing Manager at Sparkcentral. For more information on Sparkcentral, visit their website

Many brands ask us about the differences between using live chat versus digital messaging (ie. Messenger, WeChat, in-app/in-web messaging, etc.) for customer support. That’s right, chat and messaging are NOT the same. Although chat was loved by brands in the past, we believe its final days, as it currently exists, are near. To explain why it’s important to first clearly distinguish how the two are different.

Take a look at the examples below to see the difference between a messaging interaction versus that of a chat interaction.

 

 The example above is one of messaging.

In this interaction, I had reached out to one of my favorite brands, Nordstrom, to get some help finding a jacket.  Here is what was great about using messaging for customer support:

– This conversation was asynchronous, meaning the agent and I could communicate without being available at the same time.

– It was extremely convenient – I received a push notification on my phone’s home screen when the agent responded (rather than staring at my phone waiting for a response).

– It was contextual, so if I ever forgot which jacket I was looking at, I could just open up the app and go directly to the link the agent had sent me. Also, if I ever reached out again, the agent would know exactly what that previous interaction looked like.

– It felt personal and human. I was able to share just how genuinely excited I was by simply adding emoji to the message. With messaging, agents and customers can share and express emotions via emoji and gifs. Continue reading