PricePulse : AI-Powered Pricing Intelligence for Retail & CPG

decisions today require more than historical analysis; they demand real-time

intelligence, predictive insights, and the ability to act with precision.

PricePulse

is an AI-Powered Pricing Optimization and Revenue Growth Management platform

that provides CPG commercial teams with an intelligent Pricing Decision Cockpit

to diagnose margin erosion, analyze price elasticity, benchmark competitors,

simulate price change scenarios, and forecast revenue impact before execution.

Description

PricePulse is

a cloud-native platform that unifies pricing data, analytics, and

decision-making across the enterprise. It integrates seamlessly with Microsoft

Azure, Databricks, and enterprise systems, including ERP, POS, and trade platforms, to create a single, governed source of truth for pricing.

The solution

leverages advanced analytics and machine learning to deliver capabilities such

as price elasticity modeling, competitive benchmarking, demand forecasting,

and scenario simulation. With intuitive dashboards and guided workflows,

PricePulse enables business users to move from insight to execution faster, ensuring pricing strategies are data-driven, scalable, and aligned across

functions.

By bridging

the gap between data and decision-making, PricePulse helps organizations reduce

margin leakage, identify growth opportunities, and drive consistent pricing

execution across channels and markets.

Why Choose Polestar Analytics’ PricePulse

Elasticity

& Competitive Intelligence

Unlike traditional BI tools or rule-based pricing systems, PricePulse is built

around price elasticity at its core. Machine learning models provide SKU-level precision, competitive price indexing, customer price variance tracking, and market share analysis, enabling organizations to understand demand sensitivity and make pricing decisions grounded in real consumer behavior.

Forecast Impact & Finalization

PricePulse connects the full pricing lifecycle through a guided workflow, from

identifying margin gaps and analyzing performance to simulating scenarios and

finalizing pricing decisions, reducing the disconnect between analytics and

execution. Forecasted Sales Units, Revenue Growth %, and Margin % projections

are paired with an approval and governance workflow, scenario version control,

and audit-ready outputs, thus closing the loop between pricing analysis and

execution with no Excel back-and-forth.

Advanced

Simulation Engine

Evaluate pricing strategies before execution by simulating different scenarios

and understanding their impact on revenue, margin, and volume. A multi-step

simulation wizard lets users select target SKUs, choose a price adjustment

strategy, set market scope, and define competitor reaction assumptions, enabling

better planning and risk mitigation.

SKU-Level

Intelligence

Individual SKU pricing performance is classified

automatically across the entire portfolio. Native pack price ladder

visualization ensures packs do not overlap in value, with built-in cannibalization risk detection, which is critical for managing complex CPG multi-SKU

portfolios across channels and geographies.

AI-Driven

Recommendations

Beyond dashboards, PricePulse delivers actionable recommendations by

calculating optimal price points based on demand patterns, cost structures, and

business objectives, helping teams move faster with greater confidence.

Databricks

Genie — Conversational AI Assistant

Designed for commercial teams, PricePulse requires no coding or technical

expertise. It supports governance, auditability, and cross-functional

collaboration, ensuring pricing decisions are transparent, consistent, and

scalable across the organization. Databricks Genie provides full-page and active-filter context awareness, enabling natural-language querying across the

entire pricing dataset.

Who Is It For

PricePulse is

designed for enterprise teams responsible for driving pricing strategy and

revenue growth, including:

• Revenue Growth Management (RGM)

teams

• Pricing and commercial strategy

leaders

• Trade promotion and sales

planning teams

• Category, channel, and demand

planning managers

• Retail and CPG organizations

modernizing pricing on Microsoft Azure