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.
Our approach to implementing custom business workflows for highest levels of dynamism and scale, by building business logic in the UI layer and building a rule management system that is capable of creating new workflows dynamically on the fly.
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.
An overview of our self-learning recommendation engine which has been built to enable unparalleled ease of discovery for fleet suppliers, and thereby fasten the digitization journey of the Indian trucking ecosystem.
Freight Rate Exchange was conceptualized to make the process of price discovery in the trucking marketplace hassle-free and transparent. In Part 2 of this series, we dive into the architecture design of this engine.