Harness the power of AI to monitor, analyze, and manage customer reviews—empowering businesses to stay ahead of the curve.
Brandwatch Reviews is an advanced analytics platform designed to help businesses monitor and analyze customer reviews. It provides powerful tools for collecting, managing, and extracting insights from reviews across various platforms, enabling companies to enhance their products, services, and customer experiences.
Objectives
Brandwatch Reviews aims to empower businesses with deeper insights into customer perceptions by providing advanced tools for review collection, sentiment analysis, and issue detection. The platform helps businesses understand their customers’ sentiments, identify key themes in feedback, and proactively address emerging challenges to improve products and services. The ultimate goal is to offer businesses an intuitive and scalable solution to stay ahead of customer expectations through real-time insights.
Our Solutions
To achieve these objectives, the platform leverages powerful AI tools to analyze customer sentiment and identify key review themes. The centralized dashboard presents actionable insights in an intuitive, visually engaging format using Vue.js and Vuetify. The backend is powered by Node.js and Express to manage review data flow efficiently, while MongoDB ensures scalable and reliable storage. Firebase facilitates real-time synchronization and user authentication, ensuring a seamless experience across devices. Docker was used to create and manage containerized environments, enhancing scalability and reducing data retrieval latency. As part of the development team, I engineered key components of the API, UI, and database to ensure the platform’s scalability, reliability, and user engagement.
The backend is powered by Node.js and Express to manage review data flow efficiently, while MongoDB ensures scalable and reliable storage. Additionally, Firebase is used for real-time synchronization and user authentication, delivering a seamless experience across devices. Docker was implemented to create and manage containerized environments, improving scalability and reducing data retrieval latency.
As part of the development team, I engineered key components of the API, UI, and database. My focus was on ensuring the platform’s scalability, reliability, and user engagement through efficient, well-structured solutions across the tech stack.
App Screens
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