Machine Learning and Artificial Intelligence in Marketing and Sales Essential Reference for Practitioners and Data Scientis

Abstract

Niladri I would like to gratefully acknowledge the support of my wife, Nivedita, without whose patience and encouragement this book would never have materi- alized. I would also like to thank my teacher, Professor Bibek Debroy, who introduced me to the power of quantitative modeling and testing of business phenomena in the 1980s, much before the term “analytics” had become fash- ionable. The Center for Sales and Customer Development (CSCD) at the Uni- versity of Missouri provided the support and proper climate which greatly facilitated the writing of this book. Rajeeve This book would not be possible without the unyielding support and encour- agement of my wife, Shalini, and the patience and understanding of our son, Harsha. Working on a book while staying abreast with challenging executive roles required them to sacrifice time that we could have spent building life memories – for which I am so grateful. I would also like to thank my many professors who encouraged me to learn and experiment with so many quantitative methods across diverse fields from statistics, to marketing, finance, operations research, etc. I further extend my gratitude to the many incredible executives across so many industries who adopted my quantitative solutions to improve decision in areas including pricing, marketing, supply chain,and digital among others, and the companies that allowed me to follow my curiosity to develop and deploy these models