AutomationSalesConsultingIT ServicesManufacturing

Automated Quote Generation

From customer inquiry to finished quote in minutes

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AI-powered automated quote generation

The Challenge

Manual quote creation is time-consuming, error-prone and significantly slows down the sales process.

Our Solution

An AI agent automatically gathers quote data, structures line items and enables shorter quote cycles in sales.

In this use case, you build an AI agent that automatically gathers quote data, structures line items and enables shorter quote cycles in sales. The agent extracts requirements from emails, forms and CRM notes, automatically combines line items, terms and templates, and enables the team to approve and send the quote directly from the workflow.

Target Audience

Sales teams and companies looking to accelerate and standardize their quoting process

Key Features

Automatic extraction of requirements from emails, forms and CRM

Intelligent combination of line items, terms and templates

Final approval and delivery directly from the workflow

Consistent quoting logic and pricing structure

Your Benefits

Up to 80% less manual effort per quote

Consistent quoting logic and pricing structure

Faster response times to customer requests

Expected Results

80%
Time Savings

Less manual effort per quote

2–4 weeks
Implementation

From concept to productive agent

Implementation

Timeline

2–4 weeks

Implementation Steps

1

Understand input: The agent extracts requirements from emails, forms and CRM notes

2

Assemble quote: Line items, terms and templates are combined automatically

3

Review and deliver: The team approves final output and sends it directly from the workflow

Ready to implement this use case?

Let's discuss how this AI use case can transform your business

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The DatenLabel project is funded within the EXIST programme by the Federal Ministry for Economic Affairs and Climate Action and the European Social Fund.