CHARITABLE ORGANIZATIONS

OVERVIEW

As society evolves and changes over time, new problems and crises also arise. Fortunately, these new issues can also give rise to innovation, new solutions to help nonprofit organizations. Imagine trying to solicit donations for your organization. You’ve got a list of people to communicate with, but you don’t know anything about them aside from their names. You don’t even know that they’re moderately interested in your cause. Nonetheless, you decide to cast out your net which is not really a very effective fundraising strategy. Unfortunately, that’s precisely what every social good organization without a defined nonprofit target audience is doing. There are nearly 8 billion people on earth, and trying to appeal to all of them is impossible. As such, you’ve to locate and define your target audience: the people who want to support you. When you do this, it’s much easier to target the people who are likely to support your cause and make the most of your fundraising efforts.

KEY BENEFITS (MINSKY™)

• User-Friendly, cloud based AI platform
• No coding skills are required for results or predictions.
• Provides you a list of % dependency features that can be used to optimize your business
• Ability to fine tune or optimize the models by trying different algorithms / prediction attributes
• Easy integration with other third party solutions such as TABLEAU for data visualization

RESULTS

• Greater accuracy in handling the applications
• Decrease in loan loss ratio.
• Better customer experience.
• Increase in ROI
• Minimize labor costs
• Identify the patterns in the data and approach right donors.

Typical Challenges for Charity Donations:

Typically many charity organizations are facing a huge problem in acquiring the proper funds to help the needy and identifying the correct potential donors. So, the organizations are trying to enhance and automate their current processes with minimal human intervention that helps them to identify and target the relevant donors for a particular donation campaign. Tour Solution addresses some of these challenges:

Solution:

Our solution utilizes AI for predicting/matching the correct demographics of the appropriate potential donor for any particular donation campaign. It also uses RPA for categorizing the AI prediction results and automatically emails out the Campaign info to the appropriate donors.
The following are the steps involved in the process

• Modeling/training of historical data (from various sources and Donation campaigns) is done using our Proprietary AI Engine for the selected algorithms.
• Then the contact list info is submitted to the Model to predict the most suitable donors for the particular donation campaign/cause.
• The AI output/prediction file is then processed by RPA to correctly pick the most suitable contacts and email the Campaign info
• An email has to be sent to the System admin In case of any system/data related exceptions (IO exception) occurs an