Your product and corporate data are processed and stored in a European cloud.
Make your product knowledge available right where decisions are made—in manufacturing, engineering, and sales. This reduces search effort, improves the quality of configurations, and measurably speeds up onboarding.
Map your entire product portfolio to a central knowledge database and make it accessible via an AI-based bot. On STACKIT, you consolidate all relevant product data, including technical specifications, relationships, compatibilities, and alternatives. Employees and partners ask questions in natural language, upload photos, or describe use cases.
The bot identifies suitable products, checks compatibility, suggests alternatives, and answers technical inquiries based on your stored data. Thanks to retrieval-augmented generation, teams receive reliable answers directly from your own knowledge base—context-sensitive and supported by your product data.
Centralize your product expertise and run your solution on an infrastructure specifically designed for sensitive corporate data. The Product Knowledge Bot on STACKIT combines rapid access to knowledge with high standards for data protection and operational security.
Your product and corporate data are processed and stored in a European cloud.
Your data is subject to European data protection standards and remains under your control.
Benefit from a highly available infrastructure for business-critical applications.
Ensure that all teams work with the same up-to-date and validated product data.
Rely on a scalable infrastructure that efficiently handles even large and complex product portfolios. The combination of a central knowledge base, AI technology, and cloud resources forms the backbone of your Product Knowledge Bot.

Consolidate all product master data, relationships, and technical specifications into a structured database.

Take advantage of scalable computing resources for AI models, image processing, and semantic search.

Store product documents, images, and catalogs securely and efficiently in the cloud.

Combine large language models with your own knowledge base to provide accurate, context-aware answers.

Integrate existing product data in a structured manner to ensure a complete and up-to-date knowledge base.