Is nobody reading your FAQs? Time to fix that!
Reasons why classic FAQs perform poorly:
A customer makes his way to the form and starts typing his question. Orion AI analyzes every additional word typed in real-time.
Contact Form Assistant appears when
it can make a relevant FAQ answer suggestion.
The customer interacts with
the suggested FAQ content
and decides not to submit the contact form.
The addition of a single script to your existing form page
Limitless possibilities supporting web and mobile ...
At the basis is the ability to recognize customer questions with great precision. Everything else follows from that.
A brief summary
Many customers don't take the time to browse your site in detail. As a consequence they submit questions that take precious time away from your service agents.
Your customers will be delighted having their answer on the spot, without waiting on customer service.
Orion gathers detailed statistics on the subject type of various questions. With those insights you'll be able to improve your answers further.
The contact-form is not a chatbot. It's an add-on on top of your existing form. If Orion has nothing to suggest it will not display.
Lingering questions you might have...
The contact-form assistant is no chatbot. Customers don't engage in a conversation. Instead, customers phrase the question like they normally would. This has the distinct advantage that no extra channels need to be introduced.
The integration is a simple script that can be included on your website. All configuration happens in the Orion backend.
Orion Contact Form Assistant supports 22 languages out-of-the-box. Click here for the full list.
We got you covered! You can configure a matching style, color, icon and texts so it fits perfectly in your site.
No issue, we also have a contact-form widget you can add in a similar fashion that includes the assistant. This will then forward to the e-mail address you configure.
In order to come to our best-of-breed AI toolbox we use technologies and libraries such as Tensorflow, Keras, Stanford NLP, Transformers, Apache OpenNLP, scikit-learn and PyTorch.