There’s a way to lose sales that doesn’t appear obviously in any report: the customer arrives, wants to buy, but their size isn’t available. They leave without purchasing, and the brand records it as another non-converting visit, unaware that the reason was an assortment gap.
Naiz Merchandising makes this problem visible. It analyzes how real demand is distributed by size for each product, category, and market, detects where there are mismatches between available stock and what customers need, and provides the necessary information to make better purchasing and distribution decisions.
The system cross-references sales data, size patterns, and purchasing behavior to build an accurate picture of how stock should be distributed by size in each context. From there, it identifies where the current size curve deviates from real demand and what impact that has on business performance.
Identifies assortment gaps: sizes that should be available for a product or category but are not, or that sell out prematurely because the purchase volume does not reflect real demand. These gaps represent lost sales, even when the customer is present.
Analyzes how real demand is distributed by size in each category and market, and compares it with the size curve the brand is currently using. When there is a significant deviation, the system quantifies and contextualizes it: how many more or fewer units are being purchased in each size.
The optimal size curve is not the same across all markets. Morphological differences between countries, varying customer profiles, and distinct purchasing patterns mean that what works in one market cannot be directly transferred to another. Dynamic Market Allocation adapts stock distribution by size to the specific characteristics of each market.
The size curve for many brands is built on the team’s accumulated experience and, in many cases, intuition. Naiz Merchandising complements this knowledge with real demand data, enabling more precise decisions and providing concrete arguments to justify them internally.
When a size consistently sells out before others, it signals that less is being purchased than the market demands. Naiz Merchandising detects and quantifies this pattern so the team can correct it in the next purchase.
Overstock is not distributed equally across all sizes. Some sizes consistently remain unsold because they are purchased in excess of real demand. Identifying these with data allows for adjusting purchase depth.
When a brand operates in multiple markets or has several stores, deciding how to distribute stock by size among them is one of the logistical decisions with the greatest impact on performance. Naiz Merchandising provides the necessary information to make this distribution more accurately.
A size curve and stock distribution optimization solution for fashion brands. It analyzes real demand by size for each product, category, and market, detects mismatches between available assortment and what customers need, and provides buying and merchandising teams with the necessary information to make better purchasing and distribution decisions.
Sales data by size, demand patterns, and purchasing behavior. For brands that already have other Naiz Fit solutions implemented, the system can be complemented with fit and sizing data from the platform to build a more complete picture of real demand by size.
A conventional size sales analysis shows what has been sold. Naiz Merchandising goes a step further: it identifies what could not be sold because the size was unavailable, quantifies the impact of these gaps, and compares the current size curve with real demand. It not only describes what happened but also points out what can be improved and with what estimated impact.
Yes, and it is especially useful in that context. Demand by size varies between markets, and a size curve built for one specific market can lead to overstock or stockouts in another. Dynamic Market Allocation is specifically designed to adapt stock distribution to the particularities of each market and channel.
Naiz Merchandising can function independently, but its value multiplies when combined with other platform solutions. The sizing and body compatibility data from Naiz Size Advisor enrich the size demand analysis with information about the real profile of buyers.