There has been a surge in business-to-business market changes and customer demand for pricing transparency-juiced in part by the aftermath of the pandemic and its supply chain disruptions. This updated 2nd edition provides a conversational introduction that shows how every business can apply data science capabilities to their pricing challenges. The author has been applying the basic tools and techniques of AI/ML to pricing challenges across 25+ different industries for over 32 years. Some of them any topics addressed are:

Why a one-size-fits-all general price increase hurts profitability. Why pricing analytics (like price waterfalls) are useful but are not a silver bullet. What challenges businesses face when using just a business analytics reporting approach. What price segmentation is and how it benefits businesses. What four key steps drive a pricing science solution. How pricing science helps Sales avoid leaving money on the table and helps them win deals faster. Why improving profitability is not just a technical task, it is a leadership and management challenge.