Style needs structure - with consistent product data for household & living
Living worlds don't sell themselves: Why good product data is crucial in the lifestyle segment
Whether furnishings, decorations or kitchen gadgets - customers in the household & living segment expect inspiring content, perfect images and accurate information. Purchasing decisions are made visually and emotionally - but only if the data is right.
High-quality, well-maintained product data is the basis for brand impact, digital visibility and cross-channel success.
Design, variety and emotion - typical challenges for household and home products
In the household and home segment, creative product ranges meet technical requirements. Typical challenges in data maintenance are
- High product range breadth and depth (colors, sizes, variants, sets)
- Different data sources: Suppliers, brands, in-house developments
- Need for emotional and informative content - depending on the product category
- Image and media requirements for visual buying impulses (e.g. mood shots, 360° views)
- Lack of uniform attribute logic and inconsistent product descriptions
- Challenges with translation, SEO adaptation and channel formats
PIM, MDM & Co. as the basis for efficient data management in the home environment
IT-supported data processes help to efficiently manage both standard and trend products - in the store, print, app or marketplace. Important functions:
- Central maintenance and enrichment of all product information
- Automated transfer to channels and systems (store, CMS, marketplace)
- Integration of image, video and media management (DAM)
- Flexible handling of campaign, set and theme worlds
Artificial intelligence as an amplifier for your data processes
From inspiration to description - AI supports the content experience
Artificial intelligence is a valuable assistant in the household & living sector for bringing data and emotions together - e.g. through
- Automated generation of product texts, bullet points and SEO content
- Categorization and attribute assignment based on training data
- Translations in up to 20 languages - with contextual reference
- Quality checks to avoid duplicates, gaps or rule violations
Precise data for an uncomplicated data flow with forbeyond
