Jubin Thomas

Conf42 Speaker profile

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Conf42: Machine Learning 2025

Demand Forecasting in Supply Chain Using Artificial Intelligence Basis Machine Learning

There is a lot of rivalry among stores in this day and age of technology. Predicting future demand or sales is one of their biggest obstacles. The aim of this work is to forecast department-wide sales for Walmart stores using machine learning models, specifically focusing on improving forecast accuracy. This study sought to evaluate an XGBoost ML model's ability to estimate supply chain demand....

Jubin Thomas

Signet Jewelers

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Conf42: JavaScript 2024

Building Scalable E-Commerce Backend with Microservices (Node.js, Express, MongoDB, AMQP)

The core of microservices architecture is idea of decoupling functionality into discrete services that can operate independently. Each microservice is responsible for a specific business capability and can be developed and deployed separately.

Jubin Thomas

Signet Jewelers

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Conf42: Kube Native 2024

Architecting Scalable Order Management Systems with Microservices

Learn innovative techniques for building scalable order management systems with microservices. Gain insights into decomposition, integration, scalability, resilience, and deployment using Kubernetes. Unlock the power of microservices in order management.

Jubin Thomas

Signet Jewelers

...

Conf42: Machine Learning 2024

Ecommerce OMNI Channel optimization using AI

Delve into advanced AI and analytics strategies to optimize omnichannel order fulfillment, incorporating intelligent sourcing and inventory management. Witness tangible results knowing how machine learning can analyze your historical order data, and give a near to accurate prediction.

Jubin Thomas

Signet Jewelers

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