Global IT Company Enhances Search Capabilities with Modern Data Platform

The global information technology services company, which provides one of the largest e-commerce platforms in the world, was facing challenges due to the exponential growth in data volume resulting from increased internet transactions. The company needed to improve the relevance of information for discovery and required a semantic search engine to power the search function for all applications on its platform. This was crucial to understand user intent through search context and improve the relevance of results. The company also needed to create a modern architecture framework to enable better searches, replicate data, and perform experimental customization analytics. The challenge was to move data efficiently to allow effective searchability, a task the company was struggling with. The platform also needed to handle increased search traffic and data volumes expected in the future, while adhering to high security and compliance standards and avoiding high costs.

The customer is a global information technology services company that provides one of the largest e-commerce platforms in the world. The company serves a vast number of customers, processing a high volume of internet transactions daily. As a result, the company deals with an exponentially growing volume of data that needs to be efficiently managed and processed. The company's primary need was to improve the relevance of information discovery and enhance the search function across all applications on its platform. The company also aimed to create a modern architecture framework to enable better searches, replicate data, and perform experimental customization analytics.