About this book:

This book provides a comprehensive blueprint for modern retail success by focusing on the strategic orchestration of the product catalog to maximize basket value and customer lifetime loyalty. It moves beyond traditional buying to advocate for a "basket mindset," where merchandising is treated as a disciplined blend of art and science. By anchoring every decision in the "Jobs-to-be-Done" framework, the text guides retailers to design assortments that solve specific customer missions rather than simply offering a collection of individual SKUs.

The core of the strategy rests on a foundation of rigorous data standards and taxonomy, which are essential for effective search, discovery, and algorithmic performance. The book details the technical and analytical pillars of the trade—including demand forecasting, size-color curves, and the "merchandising math" of sell-through, GMROI, and inventory turns. It offers practical frameworks for managing the full product lifecycle, from the risks of initial launch through peak demand to the strategic clearance of declining inventory, ensuring that capital is always deployed toward high-performing assets.

A significant portion of the text is dedicated to active levers for increasing Average Order Value (AOV), such as curated bundling, cross-sell/upsell systems, and the psychological framing of promotions. It treats recommendation engines and personalization not as "black boxes" but as tools that require human merchandising guardrails to align with brand strategy. Furthermore, it explores the competitive advantages of private labels, the complexities of omnichannel fulfillment, and the importance of high-converting content and imagery in building digital confidence.

Ultimately, the book emphasizes that a successful catalog strategy is a continuous, iterative process supported by experimentation and analytics. It concludes with a focus on the ethical implications of AI and the necessity of robust governance and change management. By transforming merchandising from a reactive function into a proactive, data-driven operation, retailers can create a resilient catalog that consistently meets customer needs while driving sustainable, profitable growth.

What You'll Find Inside:

• The basket mindset: Orchestrating complementary choices that align with real customer intent to naturally increase order value without friction
• Catalog excellence: How clean product data, standardized attributes, and logical taxonomy enable discovery, comparison, and trustworthy recommendations
• Assortment lifecycle: Strategic planning from launch to sunset using sell-through, GMROI, and inventory turns to optimize timing and quantities
• Value-driven merchandising: Designing bundles, promotions, and recommendations that enhance perceived value while protecting margins
• Data-informed decisions: Using experimentation, analytics, and disciplined KPI tracking to continuously improve assortment performance

Who's It For:

This book is designed for merchandisers, assortment planners, eCommerce managers, and product leaders responsible for optimizing product catalogs across retail channels. It will be most valuable for professionals seeking to increase basket value through strategic assortment design, data-driven decision making, and customer-centric merchandising practices. Readers should have foundational retail knowledge and be looking to implement systematic approaches to product lifecycle management, pricing strategy, and cross-sell optimization.