Product Offer Agent

This use case features one of the 22 ready-to-use AI agents that helped us win the “Agent Race to Sapphire 2026.” What does the Product Offer Agent do? The agent helps B2B sales teams automate the creation of initial offer drafts – from incoming customer requests to structured budget proposals.

Creating initial service offers is time-consuming and requires extensive manual analysis.

The starting point: Missing information

Creating an initial service offer often requires analyzing customer requests, identifying the affected installed machines, reviewing product and service documentation, and determining the required spare parts and service activities. In many cases, critical information is missing and must be gathered through additional customer interactions, making the process time-consuming and manual.

High Effort in Offer Creation
Preparing initial budget offers requires collecting and evaluating information from customer requests, machine data, and service documentation.

Incomplete or Unclear Requirements
Customer inquiries often lack critical details, requiring additional clarification before an offer can be prepared.

Complex Identification of Parts and Services
Determining the appropriate spare parts and service activities requires expert knowledge and access to multiple information sources.

What does our solution look like? More efficiency through AI

The Product Offer Agent processes incoming customer requests, considers the customer’s installed machine base, and leverages available product and service documentation. Required spare parts and service activities are identified automatically. If information is missing, the solution asks targeted follow-up questions to clarify requirements and create a solid foundation for the offer. In three steps, this means:

  1. AI-Powered Offer Preparation
    Analyzes incoming customer requests and automatically generates initial service budget offer proposals.
  2. Integrated Product & Machine Knowledge
    Leverages installed machine information and relevant product and service documentation to support offer creation.
  3. Interactive Requirement Clarification
    Identifies missing information and asks targeted follow-up questions to complete the offer requirements.

The result? Faster offering drafts with less effort

The result includes a faster creation of initial offer drafts, reduced manual effort, and more consistent identification of the required products and services. At the same time, customer requirements are clarified earlier and captured in a structured way. The solution combines customer requests, product and service knowledge, and installed machine data into an intelligent assistant that efficiently supports sales and service teams in preparing initial offers.

Do you have a similar challenge?

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Tags
AI / GenAI Artificial Intelligence Software Development