Sales
AI Case Study in Mechanical Engineering
More than 5,000 spare-part requests per year were reviewed manually and matched against price lists. That created long response times and inconsistent quotes.
Initial situation
More than 5,000 spare-part requests per year were reviewed manually and matched against price lists. That created long response times and inconsistent quotes.
Solution approach
An AI-assisted quote workflow reads requests automatically, checks variants, and prepares a reliable quote basis for the sales team.
Outcome
Requests are answered much faster and with more consistent quality. Complex spare-part requests are prequalified within minutes.
Context for similar companies
In mechanical engineering, spare-part requests are often technically complex and time-critical. In this scenario, an AI-assisted workflow prequalifies incoming requests, matches line items with existing price and product data, and prepares structured quote foundations for the sales team. This reduces follow-up questions, improves processing consistency, and increases response speed for customers.