Leverage AI-assisted insights to maximize profitability, stay competitive, and make pricing decisions backed by data instead of guesswork.
Our Price Optimization engine empowers teams to evaluate multiple pricing scenarios, forecast margin impact, and determine the most profitable and competitive price points. It helps pricing, sales, and finance teams arrive at decisions that balance opportunity, risk, and market reality.
Turn market, cost, and customer intelligence into smarter pricing decisions.
Test multiple pricing scenarios and instantly see their impact on revenue, margin, and competitiveness across SKUs, segments, and customers.
Measure how competitive your prices are against market benchmarks or internal reference bands to avoid overpricing or margin loss.
Use historical demand patterns to understand how price changes influence volume, helping you optimize for both margin and market share.
Automatically identify optimal price points that meet or exceed target margins while remaining aligned with market conditions.
Differentiate pricing based on customer behavior, purchase history, profitability tiers, and willingness-to-pay signals.
Receive algorithm-generated price recommendations that combine cost changes, historical patterns, and market indicators.
Sales history, demand trends, costs, customer tiers, benchmarks.
Elasticity, margin targets, rules, and competitiveness scoring.
Scenario outputs with margin, revenue, and competitiveness impact
Adopt optimized prices instantly or route them through workflow. Similar image to be generated for the above content.
ERP data + cost feed + Chemanalyst market prices
Formulas, guardralls, customer tiers
Margin-safe, consistent, validated
Instant publish or multi-level workflow
Experience how PriceBu brings automation, intelligence, and structure to industrial pricing—without complexity.
