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Machine learning powered donation attribution system

Transforming AIRC's donation tracking with intelligent ML algorithms that match bank transfers to donors and specific campaigns, eliminating manual work and providing accurate campaign performance measurement.

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Key results

Significant time savings by automating the manual donation-to-donor matching process with 90% success rate in data extraction from bank transfers.
Enhanced campaign attribution allowing marketing teams to make data-driven decisions about campaign effectiveness and budget allocation.
Comprehensive 360° view of donor base enabling better targeting and relationship management through more accurate donation history.

Success case

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