Technology Company
Automated preprocessing of incoming email customer inquiries in inside sales
Starting point
- In inside sales, a five-figure number of email inquiries are received annually.
- Reviewing and classifying the inquiries is very time-consuming, as they are written in free text.
- The responsible departments for further processing of the inquiries have to be manually looked up.
- Multiple inquiries regarding the same construction projects result in unnecessary duplicate work.
Procedure
- Requirements analysis
- Business solution design
- Technical design for architecture and software components
- Programming of the custom solution
- Integration of AI logics
- Project management
- Maintenance & support during the implementation phase
- Integration into DevOps pipelines
Features/Project outcome
- The email inquiries are automatically pre-processed through a logic.
This logic, referred to as 'TenderBot', analyzes the content, creates a compressed and structured overview of the requested products, and assigns them to the responsible teams. - Technical features:
- Text extraction from emails and attachments as well as text recognition in images
- Identification of products, customers, construction projects & submission deadlines through rule-based processes
- Structured summary for further processing
Customer benefits
- Significant reduction in processing efforts in inside sales
- Shorter lead times through faster processing of email inquiries
- Reduction in incorrect assignment of inquiries
- Higher processing rate through prioritization of submission deadlines
- Increased customer satisfaction

Lars Ritter | Senior Manager