Case Study Of
Our client works with various shopping and restaurant merchants, such Yelp and OpenTable, to obtain the most informative and useful data and return the most relevant results through their search engine.
The client hired Divensi to help analyze and improve huge data sets and render the most relevant search results.
Divensi conducted a long-term engagement to gather business and technical requirements, design and develop the solutions, and assure the quality of the deliverables against the requirements. The team provided deliverables on a monthly sprint.
Our consultants worked hand-in-hand with the client and supplied them with the best-in-class expertise in search domain. Our consultants worked with the client to enrich and enhance the merchants’ feed in order to provide improved data quality. We worked throughout the pipeline using highly specialized tools like COSMOS and provided services such as data acquisition, normalization, conflation, publishing and eventually rendering it through the search engine. We understand that a technology solution is incomplete without the best quality assurance. We also provided end-to-end testing services for the client.
Our successful, ongoing engagement with this client repeatedly produces effective and relevant search results for the end customers each and every day.
© Divensi 2018