Zilliant {{variable.Gen AI}} {{variable.Analytics}} generates data-driven pricing intelligence to help you understand the next steps for achieving your business goals. It replaces manual SQL queries and spreadsheet analytics with an integrated, AI-powered approach.

The application’s primary components include a pricing-specific analytics engine, embedded data visualizations, natural language interface for quick data visualizations and summaries, and integration capabilities with existing pricing management systems.

Tip
For the best pricing experience, use Analytics to identify opportunities, then manage your organization’s pricing approach in Pricing Plus.

Analytical capabilities are built around several key technical features:

Real-time margin analysis with automated alert systems for negative margins
Product demand pattern recognition algorithms for identifying market dynamics
Natural language query processing for impromptu data analysis
Automated report generation based on predefined pricing metrics

A scalable backend infrastructure enables {{variable.Gen AI}} {{variable.Analytics}} to handle large-scale pricing data while maintaining real-time processing capabilities.

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What you can do with Analytics

Learn about common Analytics use cases and their solutions.

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How Analytics works

Zilliant leverages a standard data model across all of its customers. Built on that data model, {{variable.Analytics}} reports and visualizations are specifically optimized for pricing-related analysis. For details, read Data input specifications.

{{variable.Analytics}} analyzes your data through the Gen AI Data Explorer AI engine to support natural language query processing for instant data analysis.

Analytics also analyzes your data through an Insights Engine to generate insights across a standard set of metrics: revenue, profit, margin, and sales volume. For details, read Insights.

Using Analytics

After uploading your data into {{variable.Verde Platform}}, use the Gen AI Data Explorer at any time to ask questions or give instructions to {{variable.Analytics}}. This tool allows you to use natural language to navigate your data when you have simple questions, such as “Why did sales drop in fall of 2025?”