Predicting the fate of ERC-20 Tokens

We know there is a lot of skepticism around building models that predict prices in the stock market and the crypto world [1].  But, given the reservoir of data, this dilemma, poses an interesting challenge for data aficionados like us at menervasoftware.com. So, we decided why not put data science to work here as well?

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Optimizing source to customer relationships and managing discount pricing

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.

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Microservices based implementation for e-commerce

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.

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AI Engine for generating personalized content and recommendations

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.

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Computing revenue leakage due to incorrect invoicing of products

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.

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