Better financial decisions
MAIBE predicts for each user the upcoming most probable transactions. In line with behavioral economics theory by the winner of the The Nobel Prize in Economics Science 2018, this visibility into future expected transaction provides a choice architecture that could nudge users into better financial decisions
In a production environment, a machine learning model typically learns from millions of example data items and produces inferences in hundreds to less than 20 milliseconds
MAIBE is trained on munged financial transaction data, no personal information whatsoever, under highly sophisticated data models tightly coupled to its machine learning algorithms.
The result is magic! It wows customers my predicting their next transaction, saving them time, and providing them with an outlook of the next expected upcoming transactions
Predicting the next most probable transaction
Deliver a jaw-dropping user experience by anticipating the customer's next transaction.
Available as a RESTful API:
Do you wish to withdraw 150€?
Do you want to make the 500€ rent payment?
Do you want to process payroll?
Payment from customer has posted
Can receive two possible answers from customer
Wow, how did you know? Engage!
Please show me the regular menu
Predicting low balance situations
In addition to anticipating one transaction, MAIBE can anticipate all the transactions in the near future and warn of low balance situations