We enhance your chatbot with the emotional & physical presence of Pepper
Integrate your Chatbot into Pepper and let your customers be guided and informed
A powerful partner ecosystem
You can easily integrate your artificial intelligence chatbot into Pepper thanks to our global partners
We are able to integrate more than 25 chatbot services into our CMS and Pepper. Please contact us for consulting to get the best solution for your existing chatbot.
Our partners are global brands who have created powerful services to enhance conversational AI.
We help you to make your chatbot Pepper-ready
Chatbots are more than speech and text. We support you during your development process to get a media-rich conversational AI to attract your customers.
We enhance your chatbot with the abilities of Pepper and deliver a quality assurance process to get the most out of the chatbot.
CHATBOT USE CASES
Human Resources Chatbot
Use Pepper to onboard new employees, establish a helpdesk for common questions around the workplace or create an IT-helpdesk that provides technical answers.
Product & Service Chatbot
Offer your customers a chatbot support about your products or services. Use Pepper to answer questions, guide and sell products and let customers pay instantly to raise satisfaction.
Use Pepper to guide your customers through your store or company building. Extend your customer experience with a emotional and entertaining humanoid robot to impress people.
Visitor Management Chatbot
Let Pepper greet and service your customers or visitors. By its face-recognition Pepper can register your customers, call support personal and print personalised WiFi Codes to access the Internet.
Entertain and inform your customers of new products and services. Market everything you sell and get clear customer feedback to analyse the performance of certain services and products.
Change Enablement Chatbot
Pepper can help your employees cope with change and new things. Establish communication between managing directors and employees through Pepper’s abilities and its People-recognition.
The sentiment analysis checks the conversation for feelings. If the user is frustrated, an action is triggered and the conversation can be assisted by the support team.
The support team can review conversations that failed and train the chatbot to give the right answer the next time the question is asked by a customer. The support can also engage in real-time and answer questions the chatbot can’t.
With every chatbot a support team can be integrated to engage with customers in real-time without them knowing about. The customer continues the conversation as if it would only with the chatbot itself.