Assortment and demand decisions are among the highest-risk decisions in fashion. Buy too much and capital is tied up in inventory. Buy too little and growth is limited by stock shortages. In D2C, these decisions have become even more complex — traditional buying logic no longer works, while reliable forecasting models are often missing entirely.

At BENCHMARKED, we build a dedicated data foundation for every client. Using BigQuery-based data warehousing, we connect shop data, ERP, paid media, CRM and channel performance into one unified system. This allows us to analyze performance on SKU, collection and seasonal level — including contribution margin after media spend, something standard shop or ad platforms cannot provide.

Based on this data, we classify products across their lifecycle, identify which SKUs drive performance today and which are likely to do so tomorrow. Our reports create clarity across teams — from product and purchasing to marketing, sales and management — enabling precise demand forecasts, buying recommendations and clear prioritization. The result is not only better planning, but a system that reduces risk, improves DB2 and creates the inventory foundation required to scale profitably.