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Next-Generation Brand Recognition and Analytics Platform

itransition.com

Sports

Media

Advertising & marketing

Entertainment

Challenges with Legacy Brand Analytics System

Global Sports Insights Ltd. is facing limitations with its current brand analytics solution. Key issues include insufficient accuracy in brand recognition due to the legacy technology stack, limited reporting capabilities requiring extensive manual scripting, slow processing speeds hindering daily operations, and a lack of automation for routine tasks. The existing system also suffers from an unintuitive user interface, impacting user adoption and efficiency.

About the Client

Global provider of business insights for sports and entertainment, specializing in event sponsorship valuation using data-driven software.

Project Objectives

Develop a highly accurate and scalable brand recognition system for identifying brands in images and text.
Implement flexible and customizable reporting capabilities to meet diverse client needs.
Automate key business processes, including image retrieval, task scheduling, and report generation.
Design a user-friendly and intuitive interface to improve user experience and adoption.
Modernize the platform architecture for improved performance, scalability, and maintainability.

Functional Requirements

Automated brand recognition in images (logos and text).
Accurate location detection of brands within images (billboard, uniform, etc.).
Customizable report generation with various metrics and data visualizations.
User-friendly interface for image upload, brand selection, and report configuration.
Automated task scheduling and image retrieval.
Brand management functionality (adding, updating, and managing brand data).

Preferred Technologies

AWS (Microservices Architecture)

Machine Learning (various models for image and text recognition)

CI/CD Pipeline

Vectorization techniques

Hamming Distance algorithm

Integrations Required

Potential integration with existing Global Sports Insights data storage and reporting systems.

Key Non-Functional Requirements

High accuracy (minimizing false positives and negatives).
Scalability to handle large volumes of images and data.
High performance (fast processing speeds).
Security to protect sensitive data.
Reliability and availability.

Expected Business Impact

This project is expected to significantly improve the efficiency and effectiveness of Global Sports Insights Ltd.'s brand analytics services. By providing more accurate and automated solutions, the platform will enable faster turnaround times, reduce manual effort, and enhance client satisfaction. The improved reporting capabilities will provide deeper insights into brand performance and campaign effectiveness, leading to better business decisions and increased revenue.