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Development of a Scalable Analytics Platform for Real-Time Brand Perception Insights Using AI and Big Data Processing

techmagic

Advertising & marketing

Information technology

Inefficient Data Processing and Lack of Real-Time Insights

Existing solutions require up to 72 hours for data analysis, lack personalization, and fail to bridge the gap between product development and customer feedback. Marketers need faster, automated, and customizable insights from multi-source data (Google Trends, social media, Amazon) to make timely decisions.

About the Client

An intelligent analytics platform that leverages open-source data to provide brands with actionable insights into customer perceptions and market trends.

Key Project Goals

Reduce data processing time from 20 minutes to 10 minutes
Implement AI-driven personalization for user-specific data preferences
Automate data collection and synchronization workflows
Enhance UI/UX for intuitive data visualization
Scale infrastructure to support US market expansion

Core System Functionalities

Real-time data processing pipeline with BigQuery
Customizable dashboards with interactive widgets/charts
AI-based preference learning for personalized reports
Automated data synchronization from Google Trends, Amazon, and social media APIs
Role-based access control for enterprise clients

Technology Stack

React.js

Node.js

TypeScript

BigQuery

Firebase

Google Cloud Functions

External System Integrations

Google Trends API
Amazon Product API
Twitter API
Facebook Graph API
Google Tag Manager
Intercom
Google Analytics

Non-Functional Requirements

Horizontal scalability for 10x data volume growth
99.9% uptime SLA with redundant cloud architecture
Sub-100ms latency for dashboard interactions
GDPR-compliant data processing
Cross-browser compatibility (Chrome, Safari, Firefox)

Business Impact and Outcomes

Enables brands to make data-driven decisions 420x faster than manual methods, with AI-personalized insights reducing analysis time by 75%. Scalable infrastructure supports enterprise clients like IKEA and Volvo, positioning the platform for $4M+ annual recurring revenue post-US expansion. Automated workflows reduce operational costs by 60% compared to legacy systems.