A FinTech company, with the goal of making software selling (and buying) experience simpler and easier, launched a BNPL solution for the SaaS market, and partnered with us for their prototype builds for early validation and MVP build.
In build-versus-buy conversations, Software-as-a-Service (SaaS) solutions are winning as companies rush to digitize. But, small-medium enterprises on both sides of the fence (SaaS companies and their customers) have a market imperative to conserve/increase cash flow. The result: there’s a rise in FinTech companies that are focused on making B2B transactions easier for businesses and reducing the time taken for a close dramatically. Buy Now, Pay Later (BNPL) offers an interesting middle path, and one team decided to take on this challenge.
The client wanted Zemoso to help productize the solution.
Zemoso worked closely with the leadership team of the client and facilitated our proprietary version of Google Ventures Design Sprint (a product sprint and a feature sprint). We equipped the client with an agile product pod to get the founder’s vision to the right level of abstraction for quick validation cycles and scale as needed to ensure early customer and investor wins.
We prioritized the user flows that our client and enterprises needed to implement the BNPL solution. We used Atomic design principles and Material UI to deliver an easily extensible design system. We used Zeplin as a hand-off tool for designers to communicate effectively with developers and engineers, speeding up front-end development and deployments.
Zemoso worked closely with the client’s layered architecture to design and implement a scalable front-end layer.
The front end was developed using the React library with JS Storybook components to ensure speed during testing and modularity. We completed a Plaid integration on the front-end to ensure additional security for enterprises and their customers.
To make the development cycle faster and ensure zero slippage on the timeline, the team created a low-level design (LLD) document and component-level C4 architecture elements. Every time we had new task requirements, we wrote a pseudo-code to define how it'd fit into the existing scaffolding. This helped proactively identify and mitigate potential roadblocks, and made the entire quality-check process much faster. It also allowed us to create accurate delivery timelines and ramp up the effort to meet milestone goals.
The engineering team provided documentation around how client’s customers can integrate APIs with their existing platforms.
The entire build ran in weekly sprints so that we could align on incoming client feedback, turn it around to actual deployment, and iterate quickly, throughout the process.
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