USE CASE
Artificial intelligence in product information management
Put AI to work in your daily product data management — cutting routine tasks and delivering a significant step up in content quality. Generate compelling product descriptions, translate copy, and automatically enrich technical data across every language version.
Smart algorithms identify and validate data automatically, reducing manual review and minimizing errors. Launch new products faster and give your specialists the time and space for creative and strategic work.
USE CASE
Why AI is needed in product information management?
Modern e-commerce and multichannel sales demand vast amounts of accurate, up-to-date product data.
Common challenges include:
- Incomplete product descriptions
- Inconsistent data across systems
- Manual data enrichmen
- Slow update processes
- Managing multilingual content
AI helps solve these problems by automating and supporting data processing.
USE CASE
Key use cases for AI in a PIM system
Artificial intelligence reads product data directly into the solution.
Import information from sources including:
- Images
- Files
- Supplier websites
AI can automatically fill in missing information.
Examples include:
- Generating product descriptions
- Completing product attributes
- Suggesting classifications
- Adding keywords
AI identifies errors and inconsistencies.
It can for example:
- Detect missing fields
- Standardize terminology
- Correct spelling errors
- Flag conflicting data
AI can analyze product data and suggest the right categories.
Benefits:
- Faster product management
- Less manual work
- More consistent structure
AI enables scalable translation and localization of product data.
- Fast translation across languages
- Consistent tone and terminology
- Reduced external translation costs
Better product data means better discoverability.
AI supports:
- Search result optimization
- Synonym recognition
- Understanding user queries
Intelligent product information management
Adeona AI Assistant
Adeona AI Assistant is a built-in AI tool for product data maintenance. It automates routine tasks, improving productivity and helping maintain a consistently high level of quality.
AI Assistant allows you to define your own AI tasks and provide free-form instructions (prompts).
AI Assistant supports a wide range of language models, including Anthropic, OpenAI, Google Gemini, and Mistral.
USE CASES
With Adeona AI Assistant
Files as sources
AI Assistant can use PDF documents or product images as data sources. AI extracts relevant information — for example from technical product sheets — and saves it as structured data directly into attributes.
Web searches
AI Assistant retrieves real-time information directly from the web, helping verify technical specifications and find missing data without leaving the system. For example, extracting information directly from a supplier’s product pages or data sheets.
Multi-attribute generation
AI tasks support the generation of multiple attribute values in a single operation. From one source file, you can simultaneously generate technical specifications, product description copy, and SEO descriptions.
Quality Assurance and Analysis
AI analyzes product data for quality, consistency, and completeness. Data quality can be measured and monitored against various criteria, and AI helps identify gaps — making them faster and easier to address.
Bulk operations
AI-assisted tasks can be run in bulk across multiple products simultaneously, significantly speeding up the onboarding of large product ranges. Changes can be saved directly or routed through a separate approval step.
See Adeona
with your own data.
Book a demo and see Adeona in action with your own products. Walk away with a clear understanding of fit, timeline, and what implementation looks like.