Case Study

From Data Chaos to E-Commerce Clarity: How Trigent Enabled a Seamless Migration to Snowflake & Databricks

Information Technology (IT)
AI/ML

About the Client​

The client is a US-based provider of AI-powered e-commerce management solutions. The company offers an omnichannel platform that helps large brands optimize their presence across major online marketplaces. By leveraging machine learning and real-time data integration, the platform enables smarter pricing, inventory forecasting, and automated ad management to boost sales and profitability.

Business Challenge​

Despite a strong product offering, the client struggled with fragmented data systems and manual workflows that hampered scalability. The lack of unified visibility across sales, inventory, and marketing made it difficult to automate key decisions, react to market trends in real time, and maintain a competitive edge. The client needed a modernized architecture and streamlined operations to fully realize the potential of their AI platform.

Trigent Solution

Trigent partnered with the client to modernize their data infrastructure and enable scalable, real-time analytics. The engagement focused on re-architecting the data pipeline, migrating legacy systems, and setting up a robust processing environment.

Key activities included:

  • Environment Configuration: Set up a dedicated workspace tailored to the client’s operational needs, enabling seamless infrastructure migration and future scalability.
  • Infrastructure Migration: Migrated the existing database from MongoDB to Snowflake, providing a more efficient, cloud-native foundation for analytics.
  • Data Pipeline Integration: Established a mechanism to ingest messages from AWS SQS into the Databricks environment for downstream processing.
  • Job Orchestration: Created multiple Databricks jobs to process, delete, and store incoming messages as Delta tables, ensuring high-performance, structured storage.
  • Security & Access Management: Configured IAM roles and AWS access keys to securely connect with SQS and manage data flow with appropriate permissions.

This transformation laid the groundwork for intelligent automation, faster decision-making, and better visibility across the client’s e-commerce operations.

Client Benefits

Trigent’s intervention enabled the client to overcome key operational bottlenecks and unlock the full potential of their AI-powered platform:

  • Streamlined data architecture with a successful migration from MongoDB to Snowflake, supporting faster queries and scalable analytics.
  • Real-time data processing through Databricks jobs that automated ingestion, transformation, and storage of SQS messages into Delta tables.
  • Increased operational efficiency by eliminating manual workflows and enabling intelligent automation across pricing, inventory, and ad functions.
  • Enhanced data security and governance via IAM role configuration and secure AWS integrations, ensuring compliance and controlled access.

These improvements positioned the client to scale confidently, respond to marketplace dynamics faster, and deliver a superior e-commerce experience for their customers.