This article explores how the Data Science team at RIVIGO created a serverless store to retrieve features needed by different machine learning models.   Introduction   Tejas – A serverless feature store enables Rivigo data science team to store and retrieve features needed by machine learning models. Every machine learning lifecycle starts with creating a

This article talks about how the engineers at RIVIGO Labs built a serverless, cost-effective reporting platform that helps convert data into valuable insights.   Is Data the new Gold?   Yes, it is, but gold has to pass through fire to realize its value. Similarly, data must be refined and converted into valuable insights to

This article gives an overview of how a hackathon team at RIVIGO made AI based Conversational CRM Agents, to enable hyper-growth and infinite scalability in connecting with customers while reducing manual interventions.   Introduction Rivigo Freight is a technology-enabled logistics marketplace that connects shippers to carriers. Around a hundred thousand shippers and two lakh carriers

This article gives an overview of how the DevOps Team at RIVIGO leverages Terraform and Spot Instances on AWS to improve responsiveness (single click) while making their own life more meaningful by removing drudgery.  

The article gives a high-level overview of the architecture of the RIVIGO Goal App, an android application to empower sales teams with data-driven decision making. It also covers in more detail two of the application’s features, namely, daily organizer and travel reimbursement.