Price Optimization & Guidance

Where Decisions Drive Market Advantage

Whatever the market brings — adapt, optimize, and win.

Adaptive intelligence for Every Pricing Decision

Revomo fuses predictive insights, causal reasoning, and optimization to deliver precise pricing aligned with your goals, constraints, and market shifts.

01Recover Lost Margin with Profit Lift ModelsIdentify revenue leakage and low-margin pockets using AI models that recommend corrective actions to recover profit across different segments.
02Forecast Revenue & Margin PerformancePredict financial outcomes under different pricing scenarios considering elasticity, cost fluctuations and integrate into FP&A planning
03Optimize Deal StructuringCorrelate pricing actions with business outcomes like profit realization, win rates, and deal velocity. Surface what moves the needle.
04Optimize all of your Price ListsDefine optimal base prices or list prices by product, customer, segment, channel, and region or any other dimension using model recommendations
05Setup Discount GuardrailsEnsure discounts are aligned with value, volume and profitability by understanding their impact on win rate across customer segments
06Model Elasticity and Volume ImpactForecast how changes in price affect volume and revenue by measuring price sensitivity across all of your product and customer combinations
07Quantify Impact with Counterfactual AnalysisSimulate “what if” outcomes for individual quotes or renewals—e.g., what would margin have been if we had priced differently?
08Deliver Context-Aware Pricing RecommendationsLeverage prescriptive intelligence to suggest optimal prices using real-time inputs like cost, competitor moves, and demand signals.
09Continuously Learn and Refine Pricing StrategiesApply reinforcement learning to adjust pricing and discount guidance over time—based on observed outcomes and market responses.

Simulation & Optimization for Confident Pricing Decisions

Test strategies, predict outcomes, and optimize prices with AI to balance revenue, margin, and competitiveness.

Pricing Simulations

Test strategies in dynamic market environments to find the best path forward.

Simulate how pricing strategies will perform under evolving market conditions, competitor moves, or customer behaviors.
Incorporate elasticity, demand shifts, and cost changes to measure trade-offs across revenue, margin, and competitiveness.
Run portfolio-wide simulations that balance objectives and reveal the optimal strategy before execution.

Pass-through simulatordemo data

Pass-through 4%A-tier cap 2%

Modelled revenue
Margin change
Volume impact
Volume risk

Predictive Intelligence

Anticipate outcomes with AI models that forecast win rates, margin shifts, and price sensitivity to guide proactive strategy.

Forecast performance across pricing, discounting, and customer segments with model-backed precision
Quantify the impact of price changes, cost shocks, or discount tactics before execution
Compare predicted versus actual results to identify margin leakage and price lift opportunities

Elasticity by product familydemo data

Segment

Causal Intelligence

Simulate outcomes with structural causal models that reveal true pricing drivers, separate correlation from causation, and guide proactive decisions.

Isolate the real levers of performance across cost, discounts, and customer behavior
Run counterfactual simulations to anticipate downstream effects before making changes
Embed elasticity-aware, causal guidance into every pricing decision for proactive action

What moved margin, decomposeddemo data

Period

Prescriptive Optimization

Optimize price lists and deals at scale with AI-driven solvers that maximize profit, revenue, or win rate while honoring real-world constraints.

Balance margin goals with competitive pressure and elasticity across thousands of SKUs
Respect floor prices, commitments, price bands, and deal rules automatically and at scale
Confidently optimize complex structures like bundles, region-based pricing, and configurations with purpose-built solvers for B2B

Recommendations, with the rule that bounds eachdemo data

Action

Item	Current	Recommended	Bounded by	Action
Conduit fittings, 2in	$33.10	$36.40	Tier A floor	Raise
Strut channel, 10ft	$71.40	$74.10	Corridor	Raise
Junction box, 6in	$12.55	$12.55	Contract lock	Hold
Cable tray, 12in	$147.90	$139.00	Elasticity	Review
Wire mgmt, 4in	$22.80	$23.60	Corridor	Raise

Unsupervised LearningDetect natural pricing segments and identifies anomalies like rogue discounts or margin erosion before they become costly.
Reinforcement LearningFine tune pricing strategies over time, learning from each outcome to fine-tune deal guidance, renewal pricing, and incentive structures.

Test, Optimize, Maximize

Run experiments before you run the business, turning pricing into a growth engine.

Unlock and Defend MarginOptimize SKUs and accounts while protecting against destructive discounting.
Balance Risk and RewardModel trade-offs across revenue, profit, and competitiveness.
Institutionalize Pricing IntelligenceUse elasticity and playbooks to make optimization repeatable and scalable.

Common questions

How is Simulation & Optimization different from Planning & Forecasting?

Planning & Forecasting predicts what is likely to happen based on historical data and trends. It helps you plan sales, cost, and margin targets.

What kinds of simulations can Revomo run?

You can simulate price, cost, volume, or mix changes across products, customers, or regions. Revomo instantly shows how each scenario affects revenue, margin, and profitability.

How does it model customer sensitivity or price elasticity?

Revomo’s AI analyzes past transactions to learn how customers respond to price changes. It uses elasticity curves to predict demand shifts and margin impact before you make a move.\

Can I optimize for margin, revenue, or volume goals?

Yes. You can choose your target—maximize profit, protect margin, or grow volume and Revomo automatically recommends the best price structure to achieve it.

How does Revomo handle constraints like minimum margin or cost floors?

You can set rules such as margin thresholds, rounding limits, or competitive boundaries. The optimization engine always respects these guardrails when recommending prices.

Can I compare multiple “what-if” scenarios side by side?

Yes. You can test several strategies at once and instantly compare their financial outcomes to pick the best-performing option.

How fast can I simulate thousands of SKUs or transactions?

Revomo runs large-scale simulations in seconds using its in-memory engine. Even complex multi-SKU scenarios compute instantly.

Can simulations include competitor or market data?

Yes. You can import competitor pricing or market benchmarks so simulations reflect real-world conditions and competitive pressure.

What role does AI play in generating optimal recommendations?

AI analyzes all scenario outcomes, applies constraints, and suggests prices that maximize your chosen objective. It also explains why each recommendation works.

How do simulations turn into real pricing actions?

Approved results can be published directly to price lists or exported to your ERP for execution, creating a seamless bridge from analysis to action.

How can I validate that optimized prices are realistic and approved?

Each recommendation includes full visibility into cost, elasticity, and margin assumptions. Governance workflows ensure final prices are reviewed and approved before release.

The Future of Pricing, Today!

From possibility to reality in days, not months or years!

See Revomo in action The whole platform