Social DonorBot

A solution by Ieeng Solution submitted to Give Blood Now!

Project aims to create a format of chatbot integrate with social networks and designed to associations that deal with blood donations. Proposal is an optimal solution between price-efficacy, thanks to a low realization and customization cost and its return in terms of efficacy and therefore of reduction and optimization of costs related to reception and in general to the engagement of the donors.

(Pitched: 13/07/2018)

One Page Summary

Proposed solution aims at a greater involvement of young people, through the timely and integrated use of social media, like Facebook and the use of chatbot as a tool of interaction and management of donations and associations.

We will create a series of graphics suitable for publication as post and carousel that create interest in users. These will bring the them within Messanger asking for friendship to association page where bot was installed.

Specifically, the proposed actions are as follows:
- Culture of donation promotion through creation of social graphics format of social and banners that generate traffic on the chatbot to improve the recruitment and memory of donors;
- Donor training and information system, thanks to a strategy and a system that proceeds to give all the information requested in the field of donation and requirements on the single association, such as reception hours, contacts, etc.
- Guide and automatic provision of the pre-donation questionnaire through bots;
- Service for the automatic somministration of donor satisfaction questionnaires.

As proposed in the Challenge, solution provides to improve:
number of new young donors and their loyalty;
number of accesses by regular donors;
capacity of welcoming staff by moving interaction even outside the physical Association headquarters.

A chat bot is a form of artificial intelligence (AI) that will become increasingly important in the coming years. A form of artificial intelligence that will know very interesting developments.
Users who are accustomed to the immediacy of responses are unlikely to always be answered and even tools like email are increasingly being replaced automatic systems.
There have been many uses of chatbots: from customer care bots, able to answer questions from online users, to content bots, which, based on the questions asked, is able to offer articles and information that could be of interest to our interlocutor, up to the eCommerce bots, which guide users within the online catalog and are able to recommend products or services in base of the needs expressed during navigation.

The challenge will be to recognize and transmit emotions, not just basic information, to engage users and help them in their goals. A choice that may prove to be as winning as the automatic system will be able to "adapt" in its own language to that of the user to whom it is addressed, thanks to the analysis of the data concerning it and to the potential for analysis of artificial intelligence.
Is not just an interface; it is more about emotion. Read and understand user sentiments to promote content blocks that can prompt the user to continue with his conversation. It is a way to meet user expectations. It is important to visualize the bot that is going to shape the conversation with the user. A chatbot is not meant to be cold and automated. It should make people comfortable and be willing to give people what they want know.