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About Me
Hello! I’m Gijo Kochuparambil John, a supply chain management professional with a passion for Supply Chain Analytics and Data-driven Decision-making. This blog is my platform to share insights, best practices, and my knowledge in the world of supply chain analytics. Welcome to my journey!
Decoding Supply Chain Analytics
Explore the strategic pillars of supply chain analytics that drive operational excellence. Delve into data-driven insights, predictive demand planning, optimization strategies, effective inventory control, and resilient risk management. Gain a deeper understanding of why these categories are fundamental for shaping efficient and adaptive supply chains.
Recent Blogs
Stay updated with the latest trends, tips, and insights in supply chain analytics. Dive into detailed articles, case studies, and how-to guides designed to help you master the complexities of supply chain management.
Dark Stores: Revolutionizing Quick Commerce Operations
The world of e-commerce is rapidly evolving, and one of the most significant trends driving this change is the emergence of dark stores or micro-fulfillment…
Best Supply Chain Analytics Software in 2024: Features and Scope
The market for supply chain analytics software is expanding rapidly as more companies recognize its ability to provide a competitive advantage by optimizing supply chain…
Digital Twins in Supply Chain Analytics: Benefits and Challenges
In the rapidly evolving world of supply chain management, staying ahead of the curve requires embracing cutting-edge technology. One such advancement, digital twins in supply…
Best Practices for Risk Pooling in a Multi-echelon Supply Chain
In today’s global and interconnected market, managing risks within the supply chain is more critical than ever. One highly effective strategy for mitigating risk and…
How to Become Supply Chain Analyst: A Step-by-Step Guide
Supply chains are the backbone of almost every product you use. From the moment raw materials are sourced to the time the finished product reaches…
Planning and Demand Forecasting in Supply Chain Analytics
Demand Forecasting in Supply Chain Analytics: Imagine you’re running a shop that sells clothes. Some days, you might have more customers than you expect, and…
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