Assortment Optimization

Two decisions sit under the same label. Range architecture asks what belongs in the assortment at all: how many items cover a shopper need, which price tiers and pack sizes a category requires, what the long tail earns beyond its own turnover. Localization asks which of those items each store or channel actually carries, driven by local demand rather than one national planogram. Both rest on item‑level data – rate of sale, margin, cannibalization, substitution – because delisting releases value only if demand transfers to something that stays.

• Incrementality – an item earns its place by what it adds to the category, not by its own turnover
• Duplication – near‑identical items split demand, which raises forecast error and safety stock on both
• Localization – store‑level demand differs enough that a single national range overstocks some sites and underserves others
• Cost of the tail – slow movers consume slots, replenishment attention and shelf‑life risk out of proportion to their margin

Rationalization fails in a predictable way: the range is cut on item sales alone, demand does not transfer as assumed, and the category loses turnover that the released capital never repays. The counterweight is that a narrower, better‑forecast range usually improves availability on what remains – fewer items mean more history per item, lower forecast error and safety stock that is not spread thin across substitutes. Assortment decisions therefore belong in the same cycle as forecasting and replenishment, not in an annual review that operations hears about afterwards.

Assortment optimization in practice

Logio treats range work as a data question first: rate of sale, margin and substitution mapped per item and per store, then a range proposal that operations can actually replenish. Veritico RANGE runs the assortment analytics and STOCK carries the consequences into forecasting and replenishment – see assortment strategy and rationalization and demand forecasting and inventory optimization. CZC manages 40,000 SKUs this way, and SIKO freed warehouse capacity for new items while cutting inventory.

Related terms

• ABC analysis
• Inventory turnover
• Demand forecasting
• Supply chain management
• Promotion planning
• Price elasticity of demand