Intelligent solutions along the content value chain
Where artificial intelligence creates real added value, project experience results in market-ready applications. With forbeyond.components, companies rely on tried-and-tested solutions that are used specifically along the entire content value chain - from smart classification and AI-supported attribute mapping to text creation that can be expanded as required and content-related quality checks.
Whether content design, sourcing, production or intelligence - our modular components streamline processes, increase data quality and noticeably accelerate your content creation. They are based on real customer requirements, can be used immediately, are flexibly scalable and can be individually expanded.
Content design
Every content value chain starts with a clear structure. With AI-supported classification and intelligent attribute structure, you create the basis for consistent, systematically maintained product data - and thus for smooth subsequent processes in sourcing, production and quality assurance.
Classification analysis
Time savings in data analysis: up to 70% faster identification of classification problems
Cost reduction for external consulting: savings of up to 50%
Quality improvement: detection of up to 90 % inconsistent or incorrectly assigned products
Classification design
Reduced effort for classification development: approx. 60-80% less manual work
Higher data quality: up to 40% improvement in attribute completeness
Reduced effort for quality checks: approx. 50% less work for checking the completeness of attributes and attribute value specifications
Content Sourcing
Content sourcing focuses on the structured collection and enrichment of product-relevant information - regardless of format or source. AI-based processes help to systematically transfer external data, assign it correctly and integrate it seamlessly into existing structures.
Classification mapping
Automated mapping of external classifications (e.g. from suppliers to internal systems)
Time saving: up to 80% compared to manual mapping creation
Higher hit rate with automatic class assignment - reduction of errors by up to 60%
Attribute mapping
Automatic recognition and mapping of attributes between different data sources
Reduces manual work by around 70%
Increases the comparability of products on marketplaces & stores
Content mining from data sheets
Extraction of structured product data from PDFs (e.g. data sheets, catalogs, price lists)
Transformation of unstructured content into structured fields (e.g. dimensions, weights, article numbers)
Processing time is reduced by up to 90%.
Content mining from safety data sheets
Extraction of safety-relevant information from safety data sheets (SDS) in structured form
Automatic recognition and classification of H and P phrases, hazard pictograms, storage conditions and ingredients
Manual testing and documentation effort reduced by up to 85
Content Production
The scaled creation of high-quality content is crucial for efficient product communication. With generative AI, you can create texts, descriptions and translations automatically, individually and in high quality - adapted to the target group, channel and market.
Article descriptions
Automated text creation using generative AI (e.g. product descriptions, category texts)
Flexible text production based on just a few specifications or keywords
Reduction of editorial effort by up to 90%
Abbreviations & Selling Points
AI-based generation of short text elements (e.g. short descriptions, selling points, ERP descriptions)
Flexible text production based on just a few specifications or keywords
Editing effort reduced by up to 90
Target group-specific content
Personalized content creation based on demographic, context-specific or behavior-based characteristics
Automatic adaptation of language, tonality and content to different target groups
Increase relevance and conversion rates by up to 70%
Translation & localization
AI-supported translation of technical and editorial content.
High translation quality with simultaneous time-to-market advantage
Glossaries and local requirements are taken into account
Cost savings of up to 75% in localization processes
Content Intelligence
Content Intelligence stands for powerful checking mechanisms and data-based optimization. With AI, you can identify inconsistencies, gaps and legal risks at an early stage - and improve the consistency, informative value and reliability of your content at the touch of a button.
Data Quality Check
Rule-based check of master data and product content for completeness, consistency and plausibility
Detection of duplicates, format errors, missing mandatory fields and inconsistencies in content
Increases data quality and reduces effort by up to 80%
Data quality check for product images
AI-supported check of whether product images are correct in terms of content and consistent with the corresponding product data
Automatic detection of deviations (e.g. incorrect product, missing variants, inconsistent colors or dimensions)
Green Claim Checker
Checking environmentally-related advertising claims (green claims) in accordance with legal requirements (e.g. EU Green Claims Directive)
Analysis of sustainability claims for verifiability, clarity and misleading potential
Reduction of legal risk and safeguarding of brand communication by up to 90%
WEEE Checker
Checking product data for WEEE relevance in accordance with the EU directive for electrical and electronic equipment
Identification of products subject to mandatory labeling and necessary information (e.g. device type, registration number, take-back obligations)
Reduction of compliance risks and effort in product labeling by up to 85%
forbeyond.components AI solutionsthat sustainably improve your product data processes
Where many talk about potential, we have developed market-ready solutions. forbeyond.components bundles tried-and-tested technologies that companies can use to solve specific challenges in product data maintenance - quickly, comprehensibly and in line with clearly defined goals. The tools are specifically geared towards key issues in the content lifecycle - and are ready to make an impact where it is needed most.
