Merchandising & Category Management learning path: everything to study, topic by topic

The purpose of merchandising as the discipline that gets the right product, in the right place, at the right time, price, and quantity, and how it connects buying, planning, and store execution

Foundational retail math including margin and markup, sell-through, units versus value, and how these basic metrics underpin every merchandising decision

Building assortments around customer needs, shopper missions, and need states so the range stays relevant to the people it is meant to serve rather than to internal preferences

Structuring a range with good-better-best tiers, balancing breadth and depth, and assigning a clear role to each product so the assortment is coherent and easy to shop

Reviewing and pruning a range by identifying tail SKUs, eliminating duplication, and protecting productive lines so each SKU earns its place in the assortment

Grouping stores into clusters by demographics and demand, then localizing assortments so each cluster receives a range tuned to its shoppers rather than a single national range

Matching the planned range to physical fixture capacity, deciding facings, and resolving the tension when an ideal assortment does not fit the available shelf space

Identifying and selecting suppliers for a category using scorecards, balancing own brand against branded supply, and shaping a supply base that supports the range strategy

Preparing and running buying negotiations, understanding cost price drivers, using BATNA and concessions, and creating value rather than only splitting it with suppliers

Structuring trading terms including payment terms and rebates, and managing the open-to-buy (OTB) budget so buying intake stays controlled and aligned to the sales and stock plan

Designing a price architecture with logical price ladders and entry price points so the range is easy to shop and customer price perception supports the category strategy

Managing markdowns and clearance to exit seasonal and terminal stock, deciding the depth and timing of price reductions using sell-through and stock cover to protect overall margin

Evaluating promotional return on investment by measuring incremental versus baseline sales and accounting for halo and cannibalization so promo investment is judged on true profit impact

Keeping core lines in stock through replenishment, setting reorder points and safety stock against demand forecasts and lead time so availability is protected without excess inventory

Allocating initial stock across a store network using store grading, size curves, and demand so each location receives a saleable depth rather than a flat even split

Measuring inventory productivity through stock turn and weeks of cover, diagnosing overstock and slow lines, and connecting inventory levels to the working capital they consume

Managing sell-through across a selling season by tracking rate of sale versus plan, phasing intake, and planning exits so the category lands on its sell-through and margin targets

Defining the role each category plays, from destination to routine to convenience, and translating that role into a category strategy and vision that guides investment and tactics

Running the classic 8-step category management process from category definition through scorecard, strategy, tactics, implementation, and review so improvement is structured and repeatable

Collaborating with key suppliers through joint business planning (JBP), agreeing shared targets and investment, and governing category captaincy so the partnership stays customer-led and balanced

Defining and using the core merchandising KPIs across sales density, availability, and margin, and assembling a dashboard that turns metrics into performance conversations

Measuring profitability with gross margin return on inventory investment (GMROI), explaining how margin and stock turn combine, and using it to compare categories on the return they generate

Analyzing how space performs through planograms and sales per linear metre, understanding space elasticity, and reallocating shelf space toward the categories that return the most per metre

Using EPOS, loyalty, and market data to drive merchandising decisions, separating real trends from noise, and converting analysis into clear actions on range, price, and space