TruTrade® is a proprietary SaaS platform developed by Alexander Babbage, designed to analyze massive mobile (IoT) data at scale. It provides businesses with deep insights into visitor demographics, behaviors, and transaction patterns, helping them make data-driven investment decisions. Serving clients across shopping centers, retail, dining, entertainment, tourism, arts, and finance, TruTrade helps businesses understand who visits their locations, their frequency, value, and motivations. The platform’s AI-driven analytics empower companies to optimize audience engagement, location strategies, and revenue growth.
40% reduction in market research turnaround time
25% improvement in trade area accuracy
Georgia, US
December 2020 - Present
Market Research
Services Used
“One of the things that I really appreciate about Code District is that they work with you front stage in discovery sessions to help understand your needs and your requirements.”
CTO, TruTrade
As Alexander Babbage set out to develop TruTrade®, they faced several key challenges that directly impacted the platform’s functionality, scalability, and business impact.
TruTrade® needed to process millions of data points from multiple sources, including geolocation data, consumer demographics, and purchasing behavior. However, managing and analyzing vast amounts of real-time data posed a significant challenge. The existing system lacked the ability to aggregate, filter, and analyze data efficiently, leading to potential delays, inaccuracies, and reliability concerns. Ensuring high-speed data processing while maintaining accuracy was a critical hurdle that had to be addressed.
TruTrade® had a vast database of location-based consumer insights, but the existing system lacked a user-friendly design, making navigation and data analysis challenging. Users struggled to compare trade areas, analyze competitor locations, and generate meaningful reports. The challenge was to simplify complex data visualization while enabling users to interactively compare trade areas, generate consumer segmentation reports for marketing and expansion, and customize reports, graphs, and POI insights for better decision-making.
With large volumes of real-time and historical data, TruTrade® required an infrastructure capable of handling high-frequency data processing without slowing down or creating bottlenecks. However, the existing setup was not optimized for rapid scaling, leading to performance constraints as user demand and data sources expanded. The challenge was to build a high-speed, low-latency system that could sustain continuous data influx and complex analytical computations.
As a platform handling sensitive business intelligence and consumer insights, ensuring security and regulatory compliance was critical. The existing system lacked robust security mechanisms to protect private user data and prevent unauthorized access. Without a secure cloud environment, TruTrade® faced potential data privacy risks and vulnerabilities, threatening the reliability and trustworthiness of its insights.
We developed a custom, cloud-based market research platform, allowing TruTrade® to deliver real-time audience insights, competitive analysis, and location intelligence in a scalable and highly visual environment.
Get the full case studyTo handle millions of data points in real time, we implemented a high-performance backend architecture using Nest.js and AWS Databricks. This enabled TruTrade® to process vast datasets with minimal latency, ensuring location-based insights were always up to date. The system efficiently categorized audience data based on geolocation, demographics, and purchasing behavior, allowing businesses to make informed decisions on site selection, marketing strategies, and expansion planning.
We built a React.js-powered front-end to simplify complex datasets into interactive visualizations. Businesses could analyze trade areas, track market trends, and generate real-time POI performance reports with historical data. The system also enabled customized audience segmentation, allowing users to refine targeting and optimize marketing strategies, making data-driven decision-making more accessible to non-technical users.
We deployed TruTrade® on Azure and AWS, ensuring scalability, security, and seamless integration with external data sources. The cloud-based system handled growing data volumes efficiently, while enterprise-grade encryption and compliance protocols protected sensitive business intelligence. Additionally, API integrations with third-party providers enriched analytics with competitive insights, making the platform more robust and future-ready.
reduction in market research turnaround time
improvement in trade area accuracy
faster data visualization via dashboards
improvement in data processing speed
Download the Complete Case Study to explore how we revolutionized SwatFame’s legacy systems and made their operations future-ready!
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