The watchword for the chatbot created for the Parmigiano Reggiano Consortium is "proactivity": thanks to the integration with eCommerce and CRM, "PiErre" intervenes throughout the customer journey to provide assistance and optimize the conversion rate.
Shimano automatized internal communication with dealers. It chose a fast, intuitive and efficient solution, which supports B2B Customer Service.
With Prénatal's virtual assistant is easier to look for information. It supports and guides the catalogue exploration. In this way, Prenatal's chatbot enriches the Customer Experience with an innovative touchpoint.
DPV chose our solution to optimize their internal customer service. The company's merchandisers can now be assisted both in the use of the Wasabi software and in the exchange of documentation with the stores, also via Telegram!
EasyCoop's chatbot is an efficient touchpoint, whose goal is to do contact-reduction and make the navigation easier. Moreover, it helps the consumer buy more easily and faster.
GIPO, the leader software of polyclinic and medical offices management, has recently implemented GAIA. It's a virtual assistant, which was trained to answer to every question regarding the use of the application and it's perfectly integrated with the internal help desk.
Thanks to our powerful and always evolving Artificial Intelligence Technology, and at the same time, the Expertise of our Conversation Design team, we create intuitive and adaptable Conversational Interfaces, which are perfect for both B2C and B2B.
We analyze the business context and every aspect concerning the chatbot scope, such as pre-existing knowledge base, processes and systems involved and third-party channels to be integrated.
After the approval of the conversational perimeter and the technical-functional requirements, we proceed with User Stories implementation, NLU training, API and connectors development and configuration of the management console.
After an accurate testing phase, the chatbot is finally ready to be released. The effectiveness is high from the beginning but in the first two-month initial tuning the perimeter is maximely optimized, reaching a 79% average effectiveness rate.
The continuative tuning phase begins after the go-live - it’s an assisted machine learning process that, thanks to the performance monitoring and the information exchange between Heres and the Client’s team, capitalizes the know-how, making your virtual colleague more and more intelligent.
We managed numerous projects for different industries, strengthening a unique know-how, that we apply to the entire project work-flow to create natural, engaging and custom conversational experiences. Thanks to the constant dialogue with each Client, supported by the Collaboration system integrated into our platform, we use an assisted learning process, which is the real added value in the progressive bot performance improvement.