The Problem Statement In Ninjacart, the requirement for developing API for multiple domains comes up quite often. Traditionally, for developing an API we design the Data Model, define Interface, and service implementation for a domain entity. So for a given entity, supporting all SCRUD API developers used to take around
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Converting unstructured text to a structured catalogue is one of the important steps to create and update catalogues for our buyers on the platform.
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Our geographical clustering approach, to assign a locality to a Sales Executive(SE), improved in balancing the distribution of SE utilization by 15.5%. With our approach, 71% of Sales Executives were evenly utilized (60-75% load) as opposed to only 44% of Sales Executives being in that bucket currently.
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This blog is a one-stop knowledge point for Microservices architecture, in general, and introduces Ninjacart’s microservices platform in particular.
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A short summary of the innovative research projects that the Data Science team at Ninjacart has undertaken.
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We believe a business is powerful when it is fueled by Data, and our Ninjacart Data platform constantly provides support to the business by providing access to real-time data and also supports Analytical use cases.
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In this article, we will talk about our journey of creating Event Driven Architecture (EDA). We’ll cover the issues we faced before our EDA, things to keep in mind while designing it, and some technologies and/or solutions for EDA.
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In today’s world, we have an abundance of data, but time is of the essence while we try to understand how we can correctly leverage the data at hand to support the decision-making process for our business. We, at Ninjacart, employ our efforts in turning data into actionable insights.
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OpenSource Projects have been a backbone for millions of developers and hundreds of companies around the globe. We will pick some of the popular projects today to create a robust pipeline.
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On a regular day, I deploy the might of technology and data science to solve some of the hardest problems to make our supply chain low cost, super-fast, boringly consistent and most importantly — reliable.
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Technology and data science makes Ninjacart what it is today and will define our tomorrow. We are using technology for the people who are neglected the most — the farmers, to improve their income and change their families’ lives forever.
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