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Sales / Customer service

From customer question to an informed draft.

Enquiries, quotations, orders and customer communication: schorn.ai combines customer information with your product documents and templates. Your team can prepare replies and see what still needs clarification.

Explore practical examples

An enquiry. Product knowledge. A reply.

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Use Cases

Three tasks from your working day.

Start with a recurring task and the relevant documents. Your team reviews the results and decides what happens next.

Answer customer enquiries

An enquiry specifies quantity and product requirements. Your reply needs approved product information.

Example prompt

Draft a reply from the attached enquiry and our product documents. Leave unsupported prices and delivery dates open.

How it fits your workflow

Check product suitability, add current terms and send the reply through your existing customer communication tools.

Prepare quotations

A meeting note records requirements for a quotation. Required fields and structure are defined in your template.

Example prompt

Map the stated requirements to our quotation template. Flag missing fields and do not add commercial terms.

How it fits your workflow

Your team gets a draft to develop further. A binding quotation is created and approved after review.

Record order handovers

After a customer meeting, requirements, commitments and open questions must be handed to the delivery team.

Example prompt

Structure this meeting transcript for the order handover. Separate confirmed commitments from requests and open questions.

How it fits your workflow

Check the note against the order and pass a reviewed handover to the responsible team.

Your first step

Choose a typical customer question.

Connect an agent to approved product documents and a reply template. Review drafts with sales for facts, tone and missing information.

Discuss your workflow

Set up for your team

Share current product documents and templates in the sales workspace. Assign content owners so customer replies use approved knowledge.

Run schorn.ai on your own server or in the Box. For local processing, configure local models. External model services process content at the selected provider.

New possibilities for your working day.

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