Navigate
Services
Solutions
Tools & Resources
Industries
Buyer Paths
Solution
AI Pricing Optimization
Price with evidence — segments, elasticity, and tests instead of guesswork.
What this can save you
A 1% price improvement can lift operating profit by more than a 1% volume gain — pricing is the highest-leverage growth lever (industry-standard behavior, modeled on your data).
Estimates are internal — use our ROI calculator for your specific numbers.
What This Solution Delivers
Pricing is the highest-leverage lever most businesses never pull with evidence. Centcept builds AI pricing optimization that analyzes your purchase data for elasticity per segment, runs live test cells with guardrails, and adapts prices and offers inside your rules. B2B and e-commerce alike stop leaving margin on the table — and learn what the market will actually pay before rolling anything out broadly.
View this solution as...
Timeline
6–14 weeks
Cost range
$20,000 – $70,000
Expected outcome
A 1% price improvement can lift operating profit more than a 1% volume gain, yet most pricing is guesswork. AI pricing optimization measures elasticity per segment, tests changes under guardrails, and adapts within your rules — turning pricing from instinct into an evidence-based growth engine.
Key risks to plan for
Brand damage · Margin math mistakes · Analysis paralysis
The Problem
Pricing is set by instinct or spreadsheet, rarely tested, and leaves money on the table in every segment.
Founders & CEOs
The single highest-leverage profit lever, pulled with evidence instead of instinct.
CFOs & finance
Margin improvements modeled, tested, and reported — with risk controlled.
Pricing & revenue managers
Elasticity per segment instead of one price for everyone.
E-commerce leaders
Live tests that find the price point that maximizes contribution.
Elasticity per segment
Understands how each customer group responds to price — not one curve for all.
Tested before you commit
Changes run in controlled cells with revenue guardrails first.
Adapts inside your rules
Prices and offers optimize within the bounds your business sets.
Board-ready reporting
Results roll up to the margin and revenue numbers your CFO tracks.
How It Works
01
Purchase data is analyzed for price elasticity per segment.
02
Test cells run live with guardrails on revenue impact.
03
Prices and offers adapt within your rules.
04
Results roll up into dashboards your CFO trusts.
Timeline
6–14 weeks
Cost range
$20,000 – $70,000
Expected ROI
Margin improvement on tested segments with controlled, measurable risk.
Outcomes You Can Expect
Examples of what this solution delivers — measured on your own numbers in discovery.
Margin improvement, tested
Segments move to evidence-based prices with controlled risk.
Leakage found
Discounts and offers that gave margin away surface in the data.
Confidence to move
Leadership changes price with model and test behind it.
What We Make Sure Goes Right
Brand damage
Guardrails and segment testing prevent broad changes that alienate customers.
Margin math mistakes
Volume-margin tradeoffs are modeled explicitly — not guessed.
Analysis paralysis
We ship a first test quickly and iterate, rather than over-studying.
Architecture
Price elasticity models per product and segment
Transaction data pipeline from e-commerce/ERP/CRM
Experimentation layer with revenue guardrails
Rule engine for offer and price adaptation
Margin and revenue impact dashboards
Integrations
E-commerce platformsERPCRMAnalyticsBilling systems
What You Get
Elasticity analysis per segment
Controlled price-test framework
Offer optimization rules and guardrails
Margin impact dashboards
B2B deal-level guidance where relevant
Scope & Boundaries
What's included
- ✓ Transaction data analysis
- ✓ Elasticity modeling
- ✓ Controlled test setup and analysis
- ✓ Offer/price rule engine
- ✓ Reporting dashboards
What's not included
- ✕ Surge pricing for marketplaces
- ✕ Ownership of discount approval workflows
Who Works On It
Data scientist
Builds elasticity and demand models.
Growth engineer
Builds the test and rule infrastructure.
Commercial lead
Turns findings into pricing decisions with you.
Frequently Asked Questions
Will we upset customers with price changes?
Changes are tested on segments first, with guardrails, so you learn before you roll out broadly.
Does it work for B2B or only e-commerce?
Both — B2B uses deal-level data and rules; e-commerce uses elasticity and live tests.
Logical Next Steps
Your Solution Lifecycle
Related Resources
Related Services
Industries
Ready to explore ai pricing optimization?
$20,000 – $70,000 typical range · 6–14 weeks typical timeline. Book a call and we'll scope it properly.