Stripe reposted this
Stripe handles billions of dollars in payments every day—and that number soars during major shopping periods. Over Black Friday and Cyber Monday 2024 alone, businesses processed more than $31 billion on Stripe. With volume spanning more than 10,000 issuing banks and hundreds of currencies, countries, card products, and payment features, performance issues can arise from unique combinations of these factors, like a spike in failures on digital wallet payments from debit cards issued in France. To keep all transactions running smoothly, our real-time ML system detects and fixes performance issues on specific subsets of payments traffic, ensuring payments go through without a hitch. More in our blog.
An incredible application of AI and machine learning in fintech! The ability to detect and resolve performance issues in real-time across diverse banking systems and payment methods is truly groundbreaking. As a Data Science graduate student, I’m fascinated by how Stripe’s ML models optimize transaction success rates and enhance the payment experience for businesses globally. I have applied for the Data Analyst Intern role, I would love the opportunity to contribute my skills in Python, SQL, and data analytics to support these innovations in payment processing!
Jamie Bomsztyk
1mo
Very very cool! 😎
"I've been waiting for Stripe to release my funds for over a year and a half! Their business model: Collect payments → Freeze accounts → Ignore merchants → Profit from their money! I believe they hold funds to earn interest on them—it breaches financial regulations and is completely immoral. Thinking about using Stripe? Think again, unless you enjoy watching your hard-earned money vanish into their ‘policies’! 🚨👀 #StripeScam"
D. Langston
1mo
It's impressive to see how real-time ML systems handle such immense transaction volumes efficiently. How do you ensure continuous improvement and accuracy?
Gary Orendi
1mo
Brian O. I guess Numeral, a Mambu company has something similar under the hood to help fintechs and banks to have a great payment experience.
Engineering Leader
1moVery creative use of machine learning. Sometimes the implementation though is less technically challenging then even defining and decisioning at the leadership level what to alert on and with what thresholds.