Optimize base prices to maximize revenue and margin
TrueGradient's AI-native base price optimization helps consumer goods brands set optimal prices that balance demand, competition, and profitability across all channels and markets.
Data-Driven Pricing Decisions
Base prices are optimized using comprehensive market and demand signals, including:
Price elasticity and demand sensitivity
Competitive pricing intelligence
Channel and market dynamics
Product lifecycle and positioning
Cross-product relationships and cannibalization
Optimize Across Dimensions
TrueGradient optimizes prices across SKUs, channels, markets, and time periods to maximize overall business objectives.
Set prices by SKU, channel, and geography
Balance revenue, margin, and volume goals
Account for competitive positioning and market share
Scenario Analysis and What-If Planning
Planners can test different pricing strategies and understand their impact before implementation.
Simulate price changes and demand response
Compare revenue, margin, and volume outcomes
Evaluate competitive scenarios and market reactions
Continuous Optimization
Prices adapt automatically as market conditions, demand signals, and competitive dynamics change.
Real-time price recommendations based on latest data
Automated price adjustments within defined guardrails
Monitor price performance and market feedback
Get clarity before your next planning cycle
Turn complex demand signals into clear, confident decisions without adding more tools or manual work.