Intelligent, Auto Recommendations Fueling Smarter Investments

At first, the client relied on a patchwork of spreadsheets to manage an ever-growing roster of clients and investment recommendations. Initially, it seemed practical, with each tab packed with data. But as the business grew, so did the cracks. Spreadsheets became tangled in complexity, and hours were lost untangling formulas.

With every new customer and investment strategy, the manual system groaned under its weight. Recommendations got delayed, and the client’s team spent more time fixing spreadsheets than focusing on financial insights. It was a roadblock. The growing chaos became a wake-up call: the company needed to escape this manual maze.

Confronted with growing inefficiencies, the team reimagined their approach, envisioning a sleek, web-based dashboard designed to centralize, authenticate, and secure every operation seamlessly. From digital user verifications to automated investment recommendations, the client decided that the app had to function like a reliable financial advisor - intuitive and fast.

They entrusted Capital Numbers with a challenge: to build a cutting-edge investment recommendation app. Our goal wasn’t just to craft the app but also to design a fully integrated ecosystem of connected features. From seamlessly syncing financial data with Plaid to streamlining client approvals through DocuSign, we had to meticulously engineer every component to work in perfect unison, delivering a solution that automates investment recommendation services.

The challenge wasn’t limited to this. We had to elevate this project to the next level with custom APIs engineered as modular blocks that external businesses could embed. The key was to strike the perfect balance: APIs robust enough to drive a recommendation engine yet flexible enough to adapt to external use cases as standalone modules.

Capital Numbers began weaving together the components of this investment recommendation app step-by-step. We started with digital verifications, ensuring that every user entering the platform was authenticated. Once verified, users could connect their financial accounts and portfolios via Plaid integration and add custom inputs highlighting financial preferences.

Behind the scenes, we engineered powerful algorithms that analyze users’ financial preferences, portfolios, and accounts to generate sophisticated recommendation templates. These algorithms evaluate user preferences and bank accounts to deliver personalized, data-driven investment insights.

We ensured these algorithms are intelligent systems that assess each user’s financial profile and identify high-yield opportunities while discerning subtle patterns in financial data. Some algorithms evaluate tax implications across diverse investment options, providing recommendations that optimize user portfolios and reduce liabilities. We ensured that the complex calculations and logic powering these algorithms translated into clear recommendation templates for cautious users.

We brought recommendation templates to life by transforming them into polished, easy-to-read PDF documents, ensuring the content is locked and cannot be edited. We then ensured these PDFs were uploaded to DocuSign, where we added signature fields for respective parties to sign for approvals - turning plans into actionable commitments with just a few clicks. We also added powerful reporting tools highlighting portfolio summaries, tax implications, transactions, and compliance information, making the app even more transformative.

The workflow became a blend of security and precision powered by modular APIs that other financial entities could also use. Offering the same streamlined experience and powered by advanced encryption and tokenization, we ensured the APIs were adaptable and secure enough to be sold as standalone modules, turning this app into a product with exponential reach.

Capital Numbers didn’t just build the recommendation app for one client’s needs but with the foresight to offer value to other businesses across the fintech space. Thanks to our data partitioning and load distribution methods, the app runs at full throttle, even with peak traffic of 20k+ users.

Here’s more on what the app offers: