AI Agent for
Spare Parts Catalogs
Find Faster.
Better Advice.
24/7
An AI chatbot that searches your spare parts database in natural language and provides context-related suggestions—You check and decide (human-in-the-loop). Result: Customers and service technicians find the right part faster, your back office is relieved, more inquiries become orders.
Validated architecture for spare parts catalogs & chatbots
On-premise possible
Integration into existing catalog, ERP and PLM systems
If the Parts Search Takes Longer than the Repair ...
Large catalogs, but the right decision depends on a few people. The knowledge of which part fits in which context is in people's heads and Excel lists—not in the system. If there is a lack of capacity, the search comes to a standstill. Do you know this?
- The decision problem in spare parts sales
Which part fits which machine? Context is missing or lies with individuals. - Unclear catalogs slow down the search
Filters, PDFs—Customers and service technicians can't find parts quickly enough. - Support overload due to recurring parts questions
"Which part is this?" ties up office staff; scaling only with more staff.
- Low conversion due to search abortions
Search aborted, sales opportunities lost—for spare parts plus downtime. - No 24/7 support—international customers wait
Support only during business hours; international customers at a disadvantage.
KI for Your Spare Parts Catalog: Search Becomes Consulting
Instead of searching in filters and PDFs: Your customers and service technicians ask questions in normal language. The chatbot searches your spare parts database and delivers not only hits—but also suggestions with reasons. Which part fits in this context? Which alternative is permissible? You or your specialists check and decide. The AI works as an assistant, not as a black box.
Your existing spare parts catalog system remains.
We supplement it—as an AI for spare parts management where it hurts: search, selection, advice.
Questions Like in a Real Conversation
Suggestions, Not Just a Search
Relieved Office Staff. There for Your Customers 24/7.
Connection to Your System
For Service and Office Work
- Find spare parts faster
AI spare parts search and contextual answers reduce search time and queries. - Reduced workload
Fewer repetitive "Which part is that?" queries; more capacity for complex advice. - Better decision-making reliability
Validated suggestions with reasons instead of pure visual similarity—Lower liability and litigation risk.
For E-Commerce, After-Sales and Digital Commerce Managers
- Higher conversion
More inquiries become orders, fewer searches end in frustration. - Less downtime
In the spare parts catalog in mechanical engineering and similar industries, downtime is reduced thanks to faster, validated parts selection. - Competitive advantage
An AI tool for spare parts catalog and parts selection sets you apart from classic catalog solutions—24/7, with technical depth.
Effects That You Can Measure
- Faster parts determination—natural language instead of complex filters.
- Relief for support and office staff—particularly relevant when there is a shortage of skilled workers.
- Higher customer satisfaction and fewer machine downtimes—thanks to precise, context-related advice.
- More sales—through better conversion and stronger customer loyalty.
How the AI Assistant for the Spare Parts Catalog Works
Connection to Spare Parts Catalog, PIM, ERP and PLM
The doubleSlash AI Agent spare parts catalog does not replace an existing catalog or PIM system—it complements it:
Catalog and PIM Connection
Integration in ERP and PLM
Compliance
Deployment
Validated Technology for Productive Operation
- Proven architecture
Intelligent search via catalog data (RAG), AI-supported suggestions with human approval—designed for spare parts catalog and after-sales. - Relevant fields of application
Mechanical engineering, B2B trade, spare parts catalog; requirements for on-premise, compliance (EU AI Act, ISO 27001) taken into account. - Next step
We would be happy to show you in a demo or workshop how the use case fits into your catalog and process landscape.
How to Get Started with the AI Agent for the Spare Parts Catalog
Online Demo
- Duration: approx. 30–45 min.
- What happens: you will experience the AI agent spare parts catalog live – how it works, example queries, and how it relates to your goals. not a workshop, but a show-and-explain session.
- What you need: 30 minutes of time and a rough idea of your goals (e.g. reducing support workload, conversion, 24/7 availability). system details come later in the workshop.
- What you get: a clear picture of whether the use case fits your needs – and the option for the next step (workshop or poc).
Use‑Case‑Workshop
- Duration: 90–120 min
- Agenda: joint deep dive into your catalog and process landscape: use cases (search, guidance, image recognition), architecture and integration options – we work together, not just present.
- What you should bring: overview of catalog/pim/erp, sample data or scenarios, contacts from business and it.
- Your benefit: concrete work results: assessment of potential, a high-level integration path, recommendation for a poc.
The doubleSlash AI Agent for Spare Parts Catalogs - Questions & Answers
What Is an AI Agent for the Spare Parts Catalog?
How Does the AI Assistant Differ From a Normal Catalog Search?
Can the Chatbot for Spare Parts Database Be Integrated into Our Existing Spare Parts Catalog System?
Is On-Premise Operation Possible for the Spare Parts Catalog Chatbot?
How Are Data Protection and Compliance Ensured with the AI Assistant for Spare Parts Catalogs?
For Which Industries Is the AI Agent for the Spare Parts Catalog Suitable?
Member of the Federal Association for Artificial Intelligence

Since 2019, doubleSlash has been an active member of the German Federal Association for Artificial Intelligence. The association’s mission is to advance human-centered AI applications, enhancing the global competitiveness of German companies and positioning Germany as a leading destination for AI development. doubleSlash is deeply committed to European values and the ethical standards represented by the AI seal of approval.
Our AI expert Danny Claus was on the podcast of the German Federal Association for Artificial Intelligence on the topic of AI in the automotive sector.
More on AI, IoT and Data-Driven Quality
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