Goto

Collaborating Authors

 epaylater


'ePayLater' Inculcates Deep Learning Algorithms To Carry Out Risk Assessment - Express Computer

#artificialintelligence

Driven by the Mantra – Cashless Convenient Credit, ePayLater offers the simplest possible checkout experience in existence today, providing customers with the ability to conclude a transaction with just a click of the mouse or a tap of the touchscreen. It is a'Buy Now, Pay Later' solution through which customers can get access to an instant credit limit to make faster purchases, that too without having to pay at the same time. In a candid conversation with Express Computer's Gairika Mitra, Akshat Saxena, Co-Founder, ePayLater discusses about ePayLater in detail, the latest technology used, and much more… We have come up with an innovative solution to empower individuals to transact on credit anytime anywhere. Our partnership with IDFC Bank got us unprecedented access to the UPI system, which means we now offer credit services on merchant portals which are UPI-enabled and BharatQR network. Since the partnership, our customers have taken up Scan and Pay in a big way and we see almost 10-15% growth month on month in terms of UPI transactions.


New-age technologies like AI and ML ensure fast processing

#artificialintelligence

As part of the partnership, ePayLater's'Book Now, Pay Later' service will be made available to customers for all travel bookings on EaseMyTrip. Akshat Saxena is the Co-founder of ePayLater – India's first of its kind "Buy now Pay later" checkout service. He carries a cross-sectional experience of setting up and managing data-driven businesses. In 10 years of professional experience, Akshat has worked with industry majors like Oracle, IBM, SAP and TransUnion. In an interaction with Techxty, Akshat Saxena talks about the changes new technologies are bringing in the financial service sector.


How This AI Startup Is Developing A Virtual Friend For India's Semi-Urban Markets

#artificialintelligence

Indians living in Tier-2 cities are driving mobile penetration and represent largely untapped markets for many app developers. India is one of the app-friendliest countries around, having this year surpassed the U.S. with the highest number of downloads. However, while India's most popular apps largely cater to urban dwellers, there is a growing segment of Indians residing in smaller towns and cities that are responsible for the country's rapid internet growth. This became a focal point for four Indian entrepreneurs, who decided to develop a platform for users living in India's Tier-2 cities and towns that speak a variety of regional languages. The startup aims to be a one-app solution that will communicate with users in their preferred language and help to complete financial transactions.


How social media, typing speed, device OS and GPS location decides your loan credibility - ETtech

#artificialintelligence

Akshay Mehrotra, co-founder of Pune-based EarlySalary, likes to share one of his favorite stories about how his one-year old mobile-based fintech startup recently rejected an online loan to a Bengaluru-based 27 year old IT professional. "She was earning Rs 60,000 a month and though she fulfilled the entire criterion to take a Rs 15,000 loan, we rejected it because of the boyfriend she was living-in with," explains Mehrotra, whose startup dispenses small loans to students and salaried professionals. How did EarlySalary make the connection? For starters, the boyfriend had applied for the same loan three days before the girl had, which EarlySalary had rejected because he was unemployed. Two, the startup's machine learning algorithm used GPS and social media data –- both of which the duo had given permissions for while downloading the app – to make the connection that they were in a relationship.