Publisher's Synopsis
"Sales Forecasting Retail Healthcare Using Deep Learning" is a comprehensive guidebook written by Ashwani Mahta, an expert in the field of retail healthcare sales forecasting. The book focuses on the application of deep learning techniques to accurately forecast sales in the retail healthcare industry.
Mahta explains that sales forecasting is a critical aspect of any retail healthcare business as it helps to plan and optimize operations, inventory, and sales strategy. However, traditional sales forecasting methods are often inaccurate and outdated, resulting in lost revenue and decreased profitability. To address these challenges, Mahta introduces the concept of deep learning and its application in retail healthcare sales forecasting.
The book begins with an introduction to deep learning and its key components, including artificial neural networks, convolutional neural networks, and recurrent neural networks. Mahta explains how these components can be combined to create a powerful sales forecasting model that can accurately predict future sales based on historical data.
Mahta then goes on to explore various deep learning models and techniques that can be applied to sales forecasting in the retail healthcare industry. He covers topics such as data preprocessing, feature engineering, model selection, hyperparameter tuning, and model evaluation.
Throughout the book, Mahta provides practical examples and case studies to illustrate the application of deep learning to sales forecasting in the retail healthcare industry. He also discusses the limitations and challenges of deep learning and provides guidance on how to overcome them.
The book is written in a clear and concise style, making it accessible to both technical and non-technical readers. It is an essential read for anyone involved in the retail healthcare industry, including sales managers, marketers, and data analysts.
Overall, "Sales Forecasting Retail Healthcare Using Deep Learning" is an informative and practical guide to using deep learning for sales forecasting in the retail healthcare industry. Mahta's expertise and experience shine through, making this book a valuable resource for anyone looking to optimize their sales forecasting processes.
