Fast markets, clear data: FMCG needs speed and structure
From product rotation to data precision: why FMCG companies need to rely on excellent product data
In the FMCG segment, speed, visibility and consistency count - across all channels. Products change regularly, product ranges are growing rapidly and regulatory requirements are increasing.
Whether on stationary shelves, in online stores, on marketplaces or in retail media campaigns: Only with professionally maintained product data are manufacturers and retailers able to operate efficiently, sell in a legally compliant manner and win over customers.
Challenges in the management of FMCG product data
High dynamics, high cycle times - typical challenges for consumer goods.
The requirements for product data in the FMCG environment are diverse and complex.
Typical challenges:
- Wide product range with high fluctuation and seasonal assortments
- Different supplier data formats and short lead times
- Mandatory information such as ingredients, allergens, nutritional values, origin, packaging
- National and international requirements (LMIV, UDI, DPP, EU packaging regulation, etc.)
- Synchronization of product and marketing data (text, image, video, claims)
- Requirements from GDSN, GS1, marketplaces, drugstores or food retailers
Central platforms for dynamic product ranges and regulatory security
With the right systems, FMCG data can be managed efficiently, transparently and in compliance. PIM, MDM or PXM systems make this possible:
- Centralized maintenance and enrichment of product, packaging and marketing data
- Automated export to retail systems, web stores, marketplaces or print media
- Interfaces to GDSN, ERP, content provider tools and digital shelf analytics
- Role-specific approval processes and QA stages
Artificial intelligence as a lever for better data at high volumes
FMCG companies benefit particularly strongly from AI-supported data processes - especially for frequently changing items. Potential:
- Automatic generation and translation of mandatory texts, claims and advertising messages
- Detection of missing information or incorrect data formats
- Structuring and mapping of supplier data to your own data models
Support for DPP or sustainability reporting
Structured, scalable consumer goods data with forbeyond
