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.
Technical aspects of the data platform architecture that has been deployed to precisely predict every life event of a consignment through intelligent algorithms, analytics and machine learning. The third part of this four-part article covers how we power decision making ahead of time given certain cues using time wheels.
The RIVIGO Coding Championship 2018 saw 8,000+ young coders from across Indian engineering campuses compete as they solved a relay-inspired challenge over a week. This article provides a brief about the championship, the problem, possible solutions and the way forward.
An overview of how we built our own ‘Elasticsearch as a Service’ to power all site search and centralize logging elasticsearch cluster. Introduction: At Rivigo, multiple applications are using Elasticsearch as a core infrastructure engine to solve numerous problems like centralized logging infrastructure, search capability in applications, storing consignment and audit logs time series data.