Evaluate Pricefx Agents with Your Data
Table of Contents:
Intro
With Pricefx AI Agents, you don’t just hear about AI-driven pricing – you experience it. In just a few steps, you can upload your data, deploy AI Agents, and instantly see how they generate actionable insights. This guided setup gives you a hands-on way to evaluate the power of AI in optimizing your pricing strategy.
Welcome Screen
After logging in with the credentials you received by email from Pricefx, you’ll land on the Pricefx AI Agents welcome screen.
Proceed as follows:
Review the consent statement about data processing.
Check the box: “I agree that all data uploaded may be processed in accordance with the Terms and Conditions and Privacy Policy.”
Click Get Started to continue.
Consent is required before AI Agents can be deployed.
Agents Creation – Setup Steps
The setup wizard will guide you through a simple process to prepare your Pricefx environment and deploy AI Agents.
Step 1: Download Data Samples
Download example datasets to see the required structure for Customers, Products, and Transactions master data.
Customer_Sample.csv
Product_Sample.csv
Transactions_Sample.csv
Use these samples as templates to prepare your own files.
Step 2: Upload Your Data
Upload your datasets for Customers, Products, and Transactions.
Correctly structured data ensures smooth processing.
Step 3: Finish Data Mapping
Map your uploaded transaction data so that AI Agents can correctly interpret and analyze it. Accurate mapping ensures your insights reflect your business data.
This step installs the Sales Insights - Transaction Mapping Accelerator.
Step 4: Start Agents Deployment
Once all steps are complete, click Deploy Agents. This action activates your AI Agents and deploys them to your Pricefx partition, where they begin processing your data and generating actionable insights.
Your agents have been successfully generated and deployed to the partition!
What’s Next?
Start reviewing your deployed Agent in the partition to confirm that the configuration meets your requirements. For instructions see How to Review Deployed Agents.
PlatformManager version 1.90.0