Uses cases > Chronopost
How Talkr reinvents the way we help Chronopost customers with Leonard the virtual assistant
Our objective during the test and learn period spread over the beginning 2021
Improve customer relations outside business hours and answer user questions
The objective is to inform in HNO the users about the follow-up of parcels
Christophe B. Chronopost Project Manager
24/7 Mid-term objective to be able to respond 24 hours a day
Provide information about the packages
Delivery times according to the packages
A Talkr person has a package waiting to be delivered and dictates the number wrong to see how the robot reacts
We connected the chatbot created internally by Chronopost’s teams in order to be able to vocalize it. To be able to succeed in this exercise, we had to use a unique know-how in order to have a vocal transcription up to Chronopost’s expectations.
Find the full article of Zdnet here 📰
Kwalys and Talkr win an award at a usecase presentation in 2021! 💪 Thanks Leonard!
Through our platform we amplify the understanding of the virtual assistant to be able to answer the multiple questions asked by the users. We have connected the API of the virtual assistant developed in-house and we strengthen its level of nderstanding to be able to understand the SST (speech to text). By connecting to the Apis, we can deliver accurate information to users who want to have information about their package.
Update of the message from Christophe B. Chronopost
Measures et Kpis
20 users/ per second
We can increase the number of simultaneous lines up to 1000 during peak periodse
Integration
above 60%
the comprehension rate is globally higher than 60% on this usecase which is very complex
1 Bot
During the tests we only managed phone calls. But Leonard also exists on other channels that we do not manage (WEB & Googlehome, Viber…)
Telephone support
Leonard was plugged onto a phone support and connected to the chatbot Factory and Iluine Technology
