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Getting Started with AI-Estimator

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Written by Roman Aldunate

Introduction

Welcome to GelatoConnect AI-Estimator! This guide is your step-by-step roadmap to set up and start using the fastest quoting engine in print. By the end, you'll have configured the system so your team can create accurate estimates in seconds and win more jobs.

Key Benefits:

  • Growth: Win more jobs by being the first to respond with confidence. Generate initial estimates in 15 seconds and get quotes to customers in under five minutes.

  • Efficiency: Let AI do the heavy lifting while freeing up your sales team and estimators to invest time in customers and higher-value work.

  • Control: Use data-driven insights and pricing rules to gain more control over your margins

(Video) Walkthrough: Introduction to AI-Estimator


Implementation Plan

The onboarding plan below is based on successful implementations with other PSPs. To make this work, you’ll need to assign a clear owner from your team — typically your MIS administrator or Head of Estimation. This role requires a solid understanding of your machines, products, and cost setup.

With the right owner in place, following this checklist and working closely with your Gelato Implementation Manager, onboarding can be completed in as little as two weeks.


AI-Estimator Onboarding Checklist

Follow these steps to get your AI-Estimator up and running.

Step

Description

Complete (Yes/No)

1.

Set Up Users and a Test Customer

2.

Create Your First Estimate Using the Template

3.

Configure Estimate Setup

3.1.

Configure Machines and Substrates

3.2.

Configure Products and Reference data

3.3.

Configure Pricing rules and Settings

4.

Create Real Estimates and Validate

5.

Enable Customers and Website Visitors to Generate Quotes with Self-Quote

6.

Export Estimates to Other System to Create Orders or Track Data


Step-by-Step Overview

1. Set Up Users and a Test Customer

  • Goal: Give your team access to AI-Estimator with the right permissions and create a customer for testing.

  • What You'll Do: Add team members as users with either MIS User access (view and create estimates only) or MIS Manager access (full configuration and analytics). Create a test customer with estimation enabled so you can save and test estimates during setup.

2. Create Your First Estimate Using the Template

  • Goal: Experience the AI-Estimator workflow before customizing it, so you understand what your team will see.

  • What You'll Do: Using the pre-loaded template, create test estimates by copying customer requests (text, screenshots, or PDFs) into the AI chat. Watch how the AI translates requests into estimates in seconds and explore the different price options based on your machines.

3. Configure Estimate Setup

  • Goal: Define your machines, products, and business rules — the foundation of how AI-Estimator generates prices. With the new Estimate Setup page and AI Configurator, this process is AI-assisted and can be completed in days, not weeks or months.

  • What You'll Do: Use the Estimate Setup page in GelatoConnect to configure your production capabilities, product catalog, and pricing logic. Speed up configuration with the AI Configurator by uploading your existing data (price lists, spec sheets, or MIS exports) and letting the AI do the heavy lifting. Step 3 is divided into three substeps (3.1, 3.2, 3.3) detailed below.

3.1. Configure Machines and Substrates

3.2. Configure Products and Reference data

3.3. Configure Pricing rules and Settings

4. Create Real Estimates and Validate

  • Goal: Build confidence that your configuration produces accurate prices before going live.

  • What You'll Do: Create a comparison matrix of your key products and quantities. Run the same specs through your existing system and AI-Estimator, then analyze deviations. Use the Price Breakdown to debug any issues and adjust costs, markups, or pricing rules until results align with expectations.

5. Enable Customers and Website Visitors to Generate Quotes with Self-Quote

6. Export Estimates to your MIS or Other Systems

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