1. Understand the process
We start with the actual workflow: entry point, data sources, rules, decisions, exceptions and handover.
Turn supplier files, PDFs and spreadsheets into clean product data.
ATTAMATION helps product-heavy B2B companies structure, validate, enrich, translate and prepare product data for PIM, shops, catalogs or configurators.
The problem
Product data is often scattered, inconsistent and hard to maintain. Attributes are missing, units differ, categories are inconsistent and new supplier data arrives in changing formats.
What can be automated
- clean Excel and CSV files
- extract catalog and data sheet information
- normalize attributes, units and categories
- prepare product descriptions and technical fields
- detect duplicates and data gaps
- create exports for PIM, shop, ERP or websites
What improves
- faster product data maintenance
- better filters and shop search
- fewer support questions
- scalable data foundation for configurators
- better basis for multilingual content
How ATTAMATION works
2. Define a pilot
The first step is intentionally small. A pilot should prove whether the automation works in daily operations and where human review is needed.
3. Build the automation
We connect AI, rules, workflows, data sources and integrations. Critical steps are logged and reviewable.
4. Improve and scale
After the pilot, we decide whether to expand, integrate, stabilize or reuse the process as a repeatable building block.
FAQ
Is this just a chatbot?
No. Chatbots can be one component, but most value comes from process automation: extracting data, checking rules, triggering workflows, creating drafts and connecting systems.
Does everything run fully automatically?
Only when it makes sense. In many B2B processes, human review is safer and more valuable: AI prepares the work, humans approve critical steps.
What is the best starting point?
A clearly scoped process that happens often and creates measurable effort, such as inquiry to quote or PDF to structured record.