Rivigo
  • RIVIGO Coding Championship
  • Technology
  • Culture
  • Search
Tejas – A Serverless Feature Store

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

Anita Tailor

12 November 2019
RIVIGO Reporting Platform

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

Anita Tailor

8 August 2019
Artificial Intelligence Based Conversational Agents

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

Tushar Makkar

31 May 2019
How we improved TATs and reduced drudgery and costs with Terraform & Spot Instances

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.  

Pravar Gauba

26 April 2019
RIVIGO Goal: Empowering and Enabling Sales Teams through Virtual Assistant and Decision Support

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.

Ishan Gambhir

27 November 2018
Technology

Predicting the Life Journey of Consignments through Advanced Data Continuum’s (Part 3)

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.

BY Ashu Gupta 13 September 2018
Technology

RIVIGO Coding Championship: India’s Top Coders’ Quest to Solve the Impossible

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.

BY Prateek Agarwal 3 September 2018
Technology

How & Why We Built Our Own Elasticsearch as a Service

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.

BY Arvind Sharma 23 August 2018
Uncategorized

Building Great Technology Products

Relentless curiosity, imagination and never settling for anything but the best is the key to building great technology products for the future. The note talks about how lessons from history can help envision outstanding products for users today.

BY Deepak Garg 9 August 2018
Data

The RIVIGO Way of Life

Ten leadership principles that are akin to the DNA of people at RIVIGO. The note talks about how these principles embody our spirit and guide our actions.

BY Rouble Singh 7 August 2018

Previous 1 2 3 4 5 6 7 Next
  • Rivigo Home
  • About Us
  • Careers

Thank you for subscribing.

Something went wrong.

  • Rivigo Home
  • About Us
  • Careers

Social Links