A registered investment advisory firm with AUM of $140 million was spending about 4 hrs on stock analysis. This case study explains how Menerva helped them bring the analysis time down to less than 2 secs.
Read More...A retail e-commerce company wanted to understand their website traffic and conversions. This case study explains how Menerva analyzed the client data and provided them with crucial insights which allowed them to make critical business decisions on new selling opportunities and marketing promotions based on the product performances.
Read More...A food retail distributor in the business of distributing goods from multiple farms to multiple customers wanted some key business questions about revenue, profits and customer specific discounts addressed. This case study explains how Menerva analyzed their business data to provide insights which allowed the client to make critical business decisions.
Read More...A Fortune 50 Consumer Goods company wanted to implement a prototype to support functionality for an e-commerce use case that implemented a microservices based real-time streaming system using open source technologies. This case study explains how Menerva analyzed the use cases and implemented a microservices based solution that processed incoming data.
Read More...A commercial social media platform needed to implement an AI-driven recommendation engine that generated better or more relevant content for its users. This case study discusses how Menerva implemented an AI engine that automated the generation of recommendation periodically taking into account factors such as content recency, the frequency of access and other factors.
Read More...A financial services company had a proprietary model to assess and compute a performance score for each of their business clients manually. This case study discusses how Menerva automated the process such that the score was computed simultaneously for all clients.
Read More...A Fortune 500 retailer with around 80 storefront locations in the US faced the challenge that all these locations had a legacy system which was incapable of identifying products sold or product correlations to assess top performing products in each of the stores. This case study explains how Menerva enabled the migration of the legacy system to a more modern and effective system.
Read More...A registered investment advisory firm with AUM of $140 million was spending 8 hrs to 24 hrs for processing block trades. This case-study explains how Menerva automated the process to bring the time down to under 30 mins.
Read More...