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BrowseLoanis a leading Indian financial advisory and lending facilitation platform, headquartered in Ahmedabad. They specialize in connecting individuals and SMEs with top banks and NBFCs for personal, home, vehicle, business, and education loans.
With over 20 years of industry experience, BrowseLoan prides itself on customer trust and financial empowerment.
As BrowseLoan scaled its services and partnerships, its existing web and mobile platforms began to show critical shortcomings:
The UI/UX of their web and mobile apps felt outdated and confusing to users, leading to increased bounce rates and incomplete loan applications.
Load times across the site were significantly high, especially during peak traffic, leading to user drop-offs.
The technology stack couldn’t scale efficiently, suffered from frequent downtimes, and made integration with new lenders and tools difficult.
BrowseLoan partnered with Enterprised, to hire three full-time dedicated web developers.
These developers were integrated into Browse Loan’s agile team and tasked with a complete rebuild and modernization of both the web and mobile platforms.
Redesign the customer-facing portals for clarity, responsiveness, and ease of use.
Re-architect the backend for speed, scalability, and security.
Introduce mobile-first workflows and dynamic loan calculators.
Streamline integrations with partner APIs (banks, NBFCs, credit bureaus).
Optimize database queries and caching for improved load times.
Strengthening the backend architecture for scalability.
Enterprised’s developers worked in close coordination with BrowseLoan’s in-house analysts and stakeholders.
A redesigned responsive web app with simplified loan application flows.
A new mobile app built on Flutter, with seamless navigation and real-time status updates.
Backend refactored into microservices architecture, enabling modular updates and better fault tolerance.
Load time reduced by 65% through optimization, lazy loading, and server-side caching.
New admin dashboard to monitor loan leads, application funnels, and conversion rates.
After a 4-month implementation phase, the impact was immediately visible:
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