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The customer observed a growing trend of user queries beyond platform-related inquiries. Users sought conceptual understanding, terminologies, compliance requirements, and more. To address this, our customer aimed to provide an interactive and automated learning assistant to enhance financial literacy among users.
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Our customer is a digital financial planning app based in Malaysia. It offers end-to-end solutions and helps users execute their financial plans efficiently.
The customer reached out to us with the aim of developing an AI learning assistant capable of understanding complex financial queries and providing personalized recommendations. The customer started their own financial literacy program, which can be accessed via their website.
However, since data kept on growing, covering every aspect was not possible, and so they wanted a smart learning assistant for their customers. The existing search systems struggled to efficiently respond to heterogeneous data (CSVs, PDFs, images, videos) and simplify complex finance concepts for users.
The platform currently catered to 11k daily active users which was anticipated to grow significantly. Additionally, the evolving knowledge base demanded an AI solution that could adapt to incremental data ingestion without heavy retraining. The solution needed to tackle the following challenges seamlessly:
Velotio's solution revolutionized our platform, enabling users to easily access relevant information and significantly improving their learning experience. Their expertise and dedication were invaluable in achieving our goals.
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Velotio assigned a team comprising AI engineers, Python developers, and Frontend Developers to develop the solution in a span of 4 months. Before developing the smart learning assistant, the team initiated a comprehensive requirement-gathering process to gain a deep understanding of the customer's users and needs.
Requirement Gathering -
MVP Development and Implementation -
Supports incremental data storage and indexing, saving 50%-70% of indexing time, that is, nearly 5000 EC2 (C5a.xlarge) compute hours for a dataset of ~450 English text documents.
Over 90% of users, quantified through a statistically significant sample size (~ >10K end-users), reported an intelligible learning experience, as measured by a Likert scale survey with a 95% confidence interval and a margin of error of ±5%.
The average CSAT increased from 3.5 to 4.2 out of 5.
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Over 90 global customers, including NASDAQ-listed enterprises, unicorn startups, and cutting-edge product companies have trusted us for our technology expertise to deliver delightful digital products.
We leverage emerging technologies to build products that are designed for scalability and better usability.
With us as your tech partners, you get access to a pool of digital strategists, engineers, architects, project managers, UI/UX designers, Cloud & DevOps experts, product analysts and QA managers.
At Velotio, we hold ourselves to sky-high standards of excellence and expect the same from our customers.
