Comparative Illustration: State-of-the-Art Time Series Models and Automation for Demand Forecasting and Inventory Reorder in Ecommerce (Pharma Case: Piramal Pharma)

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Language

English

Genre

Math

Published

July 18, 2025

Synopsis

In 'Comparative Illustration: State-of-the-Art Time Series Models and Automation for Demand Forecasting and Inventory Reorder in Ecommerce (Pharma Case: Piramal Pharma)', Vikram Singh Sankhala provides a vital blueprint for optimizing pharmaceutical ecommerce supply chains. This book addresses the critical need for organizations to move beyond guesswork and generic best practices by offering a clear, comparative analysis of leading time series models and automation strategies. Through an in-depth case study involving Piramal Pharma, Sankhala demonstrates how to select and implement state-of-the-art forecasting models—ranging from foundation models like TimesFM and Moirai to advanced deep learning architectures like PatchTST and traditional methods like ARIMA—and seamlessly integrate them into automated inventory reorder systems. The core objective is to empower data-driven decision-making by demystifying the practical application of these technologies. Sankhala details the setup of end-to-end automated workflows, from ETL pipelines and model training with AutoML to backtesting, monitoring, and automated reorder triggers. The book emphasizes translating forecast accuracy (measured by MAE and RMSE) into tangible business outcomes like reduced stockouts, minimized holding costs, and improved service levels, ultimately enhancing resilience and efficiency in a dynamic market. It equips supply chain leaders and data professionals with the insights needed to choose the right model for their specific data characteristics and business constraints, setting new standards for reliability and agility in pharmaceutical inventory management.

About the Author

VSS

Vikram Singh Sankhala

Vikram Singh Sankhala brings a unique analytical perspective to supply chain optimization, blending expertise in multi-modal AI, agentic systems, and data-driven solutions. His innovative approach combines cutting-edge technology with practical application, making complex analytical concepts accessible to modern practitioners. Sankhala's passion lies in bridging ancient knowledge systems with contemporary visualization techniques to create practical, evidence-based guidance for business growth, viewing modern data science as a tool to unlock timeless insights.

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Comparative Illustration: State-of-the-Art Time Series Models and Automation for Demand Forecasting and Inventory Reorder in Ecommerce (Pharma Case: Piramal Pharma)

Synopsis

About the Author

Vikram Singh Sankhala

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