These case studies underscores the importance of prioritising real-time data processing, product recommendations and catering to end-customer’s preferences.
A fast-growing online sporting goods store, wanted to personalise the shopping experience for their customers. Their goal was to showcase two key features: ‘Recently Viewed Products’ and ‘Items Frequently Bought Together’.
Brian, the owner, said that their team relied on manual methods to track product views and identify frequently purchased combinations. This approach was not only time-consuming but also inaccurate, failing to capture valuable customer behavioural data.
Our development team met with Brian and his ecommerce management team to understand their goals and challenges. We identified the need for a real-time data processing system to track user interactions and product purchases.
We stored a user’s recently viewed product IDs within a dedicated collection in MongoDB. We analysed historical purchase data to identify frequently co-purchased items. We then created relationships between these products within the database.
With Node.js we ensured smooth handling of real-time user interactions for accurate product recommendations. Integrating with marketing automation tools for targeted product promotions. Employing machine learning algorithms to refine product recommendations and cater to individual customer preferences.
Allen, the owner of an online store that sells faux leather / leatherette accessories in Scotland, needed real-time data to showcase best-selling products.
Allen found that it is a time taking process to update the prices of 50k+ products and feature bestsellers on their platform within a short span of 10 to 14 hours.
Voyantt team, led by Sooraj, held a detailed discussion with Allen’s CTO to get a deeper insight and suggested automated data sync using Node.js & MongoDB.
Leveraging Node Js & MongoDB , we were able to build a custom made data handling tool that monitors and handles huge amounts of data. We were able to update 50K+ products per day.
Node.js, combined with other tools and libraries, became a useful platform for accurate data analysis and real time updates. Our team created a robust, scalable, and effective huge data handling tool that can process massive amounts of data quickly.
A thriving online floral store, faced a critical challenge. Their website struggled to handle the surge in traffic during peak seasons like Valentine’s Day and Mother’s Day. This resulted in slow loading times, frustrated customers, and lost sales opportunities.
The existing web infrastructure couldn’t keep pace with the growing user base and concurrent requests. Traditional server setups with limited scalability were causing bottlenecks and hindering their online growth.
Voyantt’s development team conducted in-depth consultations with the founder, Alicia. We identified the need for a scalable architecture that could manage high volumes of traffic without compromising website performance.
We divided the website into modular microservices, each responsible for specific functionalities. Microservices communicated with each other asynchronously using an event-driven approach. This eliminates bottlenecks and ensures smooth processing even during peak traffic.
We implemented a load balancer to distribute incoming requests across multiple servers, preventing any single server from becoming overloaded. Faster loading times and a responsive website provide a seamless shopping experience for customers.
"Voyantt team successfully implemented ‘Recently Viewed Products’ and ‘Items Frequently Bought Together’. This helped us increase customer engagement."
"We wanted to keep updating our bestsellers section, however we were not able to figure out how to achieve this. Voyantt’s node.js team was able to set up auto update of best-selling items."
"The scalable architecture helped us tackle high volumes of traffic without compromising website performance."
"Voyantt team helped us manage real-time data update for our ecommerce website. Moreover, faster loading times and a responsive website ensured smoother user experience."
Voyantt’s Node.JS team takes care to understand the needs of your business and suggest the best solutions. Robust security, superb loading speeds, faster data update and ongoing maintenance ensure that your site remains functional, bug-free and updated.
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Our team excels in crafting robust and scalable applications through our expertise in full-stack JavaScript development using Node.js. We specialise in creating dynamic, real-time user experiences that engage and delight. By leveraging the power of open-source technologies and libraries, we deliver high-quality solutions tailored to meet the unique needs of our clients. Our commitment to staying at the forefront of technological advancements ensures that we consistently deliver innovative and effective software products.
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Our team specialises in full-stack JavaScript development, using Node.js for both front-end and back-end development. This approach streamlines the process, improves code consistency, and promotes efficient collaboration, enabling faster and more precise solutions.
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We are adept in creating dynamic user experiences using real-time technologies, delivering seamless, instant updates through applications like live chat, collaborative tools, and data-driven dashboards, ensuring user engagement and information retention.
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Scalability ensures the application’s performance, ensuring it can handle increasing user loads and business demands. Infrastructure optimization, load balancing, and cloud infrastructure are crucial factors in achieving this, preventing bottlenecks and downtime.
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The ecosystem of NPM, a technological platform, is a vital tool for the development of applications. Its use of open-source libraries, a key component of this ecosystem, significantly accelerates the process, ensuring optimal code quality and efficiency.
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