The client is a global retail media technology company offering a modular platform for scalable, relevant advertising experiences. Their solutions unify sponsored and organic product rankings while connecting retailers with diverse advertiser demand sources.
Engagement Duration: 2+ years
Industry: Retail
The client sought to overhaul its application to strengthen data integration and improve overall operational efficiency. Following were the key requirements:
Cybage followed a modernization strategy centered on the client's data-heavy application rather than narrower microservices or ETL-only migration. The approach prioritized building ingestion, analytics, and web-scraping capabilities into a single serverless foundation on Google Cloud, giving engineering teams a flexible base to support future retailer additions and evolving data needs.
Serverless Architecture on Google Cloud
The on-premises environment was migrated to a serverless architecture on Google Cloud, eliminating the need to manage physical infrastructure and giving the flexibility to run operations without interruption.
Scalable Multi-retailer Data Framework
A scalable framework was engineered to bring together data from multiple retailer websites under a common structure, enabling the platform to absorb new retailer sources smoothly as the business grows.
Automated Web-scraping Workflows
Web-scraping jobs were automated to run on a consistent weekly schedule, collecting and processing data across different retail websites with reduced manual intervention and stronger checks built in before each run.
Centralized Data Processing and Analytics
A centralized data-processing and analytics solution was developed to consolidate retailer data in one place, giving stakeholders a single source of truth for planning and strategy.
Cybage's cloud modernization and automation delivered the following outcomes:
