Bosch Motorsport: AI-powered catalogue transformation
We have radically accelerated the migration of the product catalogue for Bosch Motorsport. Instead of manually creating over a hundred product pages from a database in the target system, we were able to use AI workflows to generate ready-made FirstSpirit pages that were imported directly. The result: the highest data quality, massive time savings and a scalable system for the future.
Find out more about AI workflows
From complex data sets to a complete CMS import: How AI workflows speed up processes and cut costs.
An extensive motorsport product catalogue needed to be migrated to the CMS. The challenge: the data within the source file was structured using a variety of different elements. A manual migration would have tied up valuable specialist resources for weeks. The risk factors:
Asset complexity: Manual mapping of hundreds of technical drawings, images and downloads (PDF/ZIP).
Prone to errors & correction loops: High probability of transfer errors in technical specifications within tables.
Content freeze: Catalogue updates halted for several weeks whilst processing was ongoing.
The solution: AI Workflow as an intelligent pipeline
Instead of manual data maintenance, a bespoke AI transformation pipeline was implemented. This handled the entire process – from the initial data analysis to the final CMS import.
- Structure analysis: Intelligent capture of existing, complex data formats.
- AI-supported normalisation: Automatic consolidation of attributes, categories and field logic into a uniform target model.
- Automatic mapping: Valid assignment of data to CMS structures, including automatic error correction.
- Bulk integration: Generation and direct import of complete data records – without manual follow-up maintenance.
Internal links to several hundred assets in various file formats such as jpg, png, zip and pdf could be created automatically within the CMS.
The result
Two modules. Clearly distinct functions – based on the same RAG technology.
- Speed: Implementation in just a few days instead of the estimated 35 man-days.
- Accuracy: 100% consistent data quality through standardised validation rules.
- Efficiency: Project delivery at a fraction of the internal opportunity costs.
- Sustainability: The workflow is available as a scalable pipeline for future updates.
| Task | Manual | AI Workflows | Benefit |
| Data migration | Copy & paste | Scraping & AI coding | ⏱️ Time and cost savings of approx. 60% |
| Quality control | Page comparison | Diffchecker | 🏆 100% quality |
| Translation | Manual task | Fully automated | ⏱️ Time and cost savings approx. 80% |
| SEO | Manual task | Fully automated | ⏱️ Time and cost savings approx. 60% |
Business Impact
This case study shows that AI workflows eliminate repetitive data tasks. Whereas experts used to spend weeks copying, pasting and formatting data, an automated pipeline now ensures speed and error-free results.
Further benefits
- Thanks to the AI-based generation of the target structure, automated translations of existing content can also be created during the conversion process, for example.
- It is also possible to integrate SEO tools into the process to generate page titles and meta descriptions, ensuring that the imported pages in the target CMS are significantly better optimised than the original content.
Automated variant generation
AI-powered generation of target-audience-specific texts from technical master data, to provide optimised content for engineers or buyers alongside the data sheet.
Proactive data validation
Automatic checking for implausible values or inconsistencies in the legacy data during migration. This ensures the highest data quality and minimises the need for manual corrections.
Tagging & Classification
Content-based assignment of tags and categories for high-performance filter searches in the CMS, without the need to assign each attribute manually.
Smart Linking
Automated creation of logical cross-references between products and compatible accessories based on technical logic to enhance cross-selling opportunities.
Dynamic content adaptation for multi-channel
Media-neutral data processing for various formats (e.g. JSON, XML). This enables simultaneous feeding of marketplaces, apps and newsletters.
Dynamic asset linking
Context-based import and linking of hundreds of media files (JPG, PDF, ZIP). The AI accurately distinguishes between thumbnails and technical drawings.
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