Previous Case Study: Robco

AI AND PHILANTHROPY

Centraide

We, at Vooban, strongly believe in the importance of contributing to the community. And frankly, what could be better than sharing our knowledge with an organization that's close to our hearts?

Centraide

Service

ARTIFICIAL INTELLIGENCE (AI)

Recently, we had the opportunity to use our expertise in artificial intelligence to collaborate with Centraide Québec et Chaudière-Appalaches in their efforts to combat poverty and social exclusion. Curious how this collaboration came about? We'll tell you all about it right here!

THE CHALLENGE: OPTIMIZING THE DEVELOPMENT OF NEW PHILANTHROPIC PARTNERSHIPS

At the heart of Centraide's activities lies an important reality: its employees put in an enormous amount of time and effort to find donors. The organization solicits help not only from individuals but also from companies, which can often contribute on a much larger scale. Finding new corporate donors plays a crucial role in ensuring the sustainability of revenues and meeting Centraide's high aspirations for its community. However, despite the dedicated efforts of its employees and volunteers, this process can sometimes end in refusal.

This situation is always disappointing, but it also takes up a lot of employees' time, preventing them from focusing on other potential companies that could have financially supported Centraide. Vooban aimed to address this issue by optimizing the search for new companies to increase the chances of success in obtaining new donations for Centraide.

THE SOLUTION: FOCUS THE EFFORTS

The project revolves around a key objective: identifying the companies that are most likely to become donors. We used several interrelated factors to achieve this, including lists of companies, their sector of activity, location, size, history of donations to Centraide, and so on. The aim was to optimize the time and resources of Centraide employees so that they could focus their efforts and generate maximum value for the organization. Not bad, eh?

THE RESULTS: IDENTIFYING THE MOST SIGNIFICANT FACTORS

Using classic machine learning techniques, we developed a tree-like artificial intelligence model. We call it this way because it represents the decisions to be made in the form of... a tree! Each branch corresponds to a decision based on specific characteristics or variables, and each leaf corresponds to a conclusion or prediction.

This approach's advantage is that it makes it easy to understand how decisions are made. In this case, it's particularly useful for explaining why a company is more likely to give and what characteristics make the difference.

By better understanding the factors that make one company more likely to donate than another and applying them to a database, we've been able to identify new, high-potential companies that weren't yet on Centraide's radar. This will enable Centraide to focus its efforts on these promising new prospects and prioritize them accordingly.

THE BENEFITS: A SUBSTANTIAL IMPACT ON THE COMMUNITY

Vooban's contribution to Centraide has resulted in significant long-term benefits. By offering its expertise, Vooban has helped Centraide optimize its fundraising efforts by identifying the companies most likely to support its cause. This is an exciting breakthrough for an ambitious organization like Centraide, which worries daily about keeping its operating costs as low as possible.

This success underlines the importance of companies and organizations expanding their horizons beyond conventional activities and delving into the possibilities provided by advanced technologies. By integrating AI into their processes, organizations can not only improve their operational efficiency but also create a positive impact on the world.