More visibility, more sales - score points in the fashion world with precisely tailored product data
Short cycles and complex attributes: Why a central database is essential in the fashion and footwear industry
Trends and product ranges change at a rapid pace in the textile and footwear industry. To ensure that fashion collections are presented convincingly in all sales channels, product information must not only be complete and correct, but also clearly structured and available at all times. A central, consistent database is the basis for efficient processes, shorter time-to-market and a uniform brand presentation across all channels.
Data challenges in the dynamic fashion sector
The fashion and footwear industry is characterized by rapid changes in trends and a wide variety of products - factors that place complex demands on the quality, structure and availability of product data:
- High number of variants in colors, sizes, fits and materials
- Short product life cycles with seasonal changes
- Combination of emotional imagery and technical attributes
- Different requirements of sales channels and platforms
- Heterogeneous supplier data without standardized classifications
- Time-consuming manual maintenance processes without automation
Data architecture as the foundation for optimal processes
With a clearly defined system and data architecture, product information is centrally maintained, enriched and automatically distributed to the relevant channels:
- Implementation of PIM, MDM or PXM systems as a central platform
- Direct connection to ERP, DAM, store and marketplace systems
- Automated distribution to online and offline channels
- Structured workflows for purchasing, design, marketing and IT
AI as an accelerator for consistent product data
Artificial intelligence helps fashion and footwear companies to process large amounts of data faster and more precisely:
- Automated classification, attribute inheritance and quality checks
- Text generation for SEO-optimized product texts for different target channels and groups
- Image recognition and tagging for colors and patterns
Rule-based onboarding of complete collections
Perfect data positioning for fashion and shoe ranges with forbeyond
