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