29.09.2022

Enhancing Donation Management for Nonprofits

An AI-powered solution to predict and allocate donations in a more effective manner, enabling our client to finance all projects and adapt their financial planning according to potential donors' preferences.

Breakthrough

noun /ˈbreɪk.θruː/

Solved for good

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Donor Clustering

AI algorithm identifies patterns in previous donations, clustering donors accordingly, improving financial planning.

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Project-Specific Donation Prediction

Predicts donors inclined towards specific projects, allowing tailored marketing to encourage unrestricted donations.

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Financial Adaptability

Enables nonprofits to efficiently allocate funds across projects and persuade more unrestricted donations, ensuring all projects are adequately funded.

Challenging financial planning

The struggle with project-specific donations...

Our client is an independent, non-governmental, nonprofit international development organisation largely funded through donations with two categories of donations: project-specific donations (that can only be used on that specific project) and not project-specific donations. One major problem the organisation was facing turned out to be related to exactly that system: a lot of donations were project-specific but it was direly needed to also get not project-specific donations to finance their efforts. Additionally not being able to predict which projects are going to get donations makes it very hard to plan accordingly and fund all projects accordingly.

But how can you try to figure out what people are going to donate to based only on past donations and respective label?

Enhancing financial adaptability

AI-driven Donation Predictions

We implemented an AI algorithm that predicts donor preferences based on past donations, enabling our client to adapt their financial planning accordingly and potentially persuade more donors to contribute unrestricted funds, allowing greater flexibility in allocating resources where they are needed the most.

Get started with AI

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