Winkeldata

Winkeldata is a term used to describe data related to retail stores and retail operations. It encompasses information collected at various points in the retail value chain, including store attributes, product data, transactions, customer interactions, and inventory. Winkeldata is used to support analysis, planning, and decision making in retail organizations.

Common data sources include point-of-sale systems, e-commerce platforms, loyalty programs, ERP systems, supplier feeds, and sensor-based measures of foot traffic. Typical data types include sales transactions (time, product, quantity, price), product master data (SKU, category), promotions and pricing data, inventory levels, and anonymized customer information.

Applications of winkeldata include sales forecasting, demand planning, assortment optimization, pricing strategy, shelf and planogram optimization, store performance benchmarking, and marketing ROI analysis. By combining data from multiple channels, retailers can gain insights into cross-channel behavior, seasonality, and promotional effectiveness.

Data governance and privacy are central concerns. Retailers must address data quality, data integration across channels, standardization, and compliance with privacy rules such as the GDPR. Interoperability is supported by standards and conventions such as GS1 barcodes and EDI, and by the use of data warehouses or data lakes to store and analyze large, consolidated datasets.