{"product_id":"dynamic-pricing-and-revenue-algorithms-yield-management-margin-maximization-and-the-science-of-real-time-price-control-9798259462199","title":"Dynamic Pricing and Revenue Algorithms: Yield Management, Margin Maximization, and the Science of Real Time Price Control","description":"\u003cp\u003e • Author(s): Bramwell Sloane\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Databases - Data Mining\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePractical pricing strategy for modern businesses\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis book brings together the core ideas, methods, and operating discipline behind dynamic pricing and revenue management. It shows how to move from intuition-based pricing to structured decision-making using data, forecasting, optimization, and controlled experimentation. The emphasis is on real business use, where capacity, urgency, margin, and customer response all shape the best price at the right moment.\u003c\/p\u003e\u003cp\u003eReaders are guided through the full workflow, from understanding pricing objectives and building reliable data foundations to estimating demand, managing inventory and fare classes, and setting rules for real time price updates. The chapters also cover margin focused optimization, elasticity estimation, and algorithmic approaches for both discrete price ladders and continuous pricing problems.\u003c\/p\u003e\u003cb\u003eWhat this book helps you do\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eDefine pricing goals using revenue, margin, and capacity constraints.\u003c\/li\u003e\n\u003cli\u003eDesign data pipelines and feature stores for pricing systems.\u003c\/li\u003e\n\u003cli\u003eBuild and validate demand forecasts under changing price conditions.\u003c\/li\u003e\n\u003cli\u003eApply yield management tools such as protection levels, bid prices, and overbooking controls.\u003c\/li\u003e\n\u003cli\u003eEstimate price sensitivity with observational data and stabilize results with good modeling practice.\u003c\/li\u003e\n\u003cli\u003eUse bandits, reinforcement learning, and experiment design to improve pricing decisions safely.\u003c\/li\u003e\n\u003cli\u003eSet guardrails for compliance, fairness, and operational risk.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe later chapters focus on how these ideas work in production, including latency aware decision architecture, model serving, logging, monitoring, and backtesting. This makes the book especially useful for pricing teams, revenue managers, data scientists, product leaders, and analysts who need both strategy and implementation detail.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eClear, applied, and methodical, this is a strong reference for anyone building or improving intelligent pricing systems across travel, retail, marketplaces, subscriptions, and other demand driven businesses.\u003c\/i\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47883040686231,"sku":"9798259462199","price":1594.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798259462199.webp?v=1781099008","url":"https:\/\/atlanticbooks.com\/products\/dynamic-pricing-and-revenue-algorithms-yield-management-margin-maximization-and-the-science-of-real-time-price-control-9798259462199","provider":"Atlantic Books","version":"1.0","type":"link"}