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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.
Recover Lost Margin with Profit Lift Models
Identify revenue leakage and low-margin pockets using AI models that recommend corrective actions to recover profit across different segments.
Forecast Revenue & Margin Performance
Predict financial outcomes under different pricing scenarios considering elasticity, cost fluctuations and integrate into FP&A planning
Optimize Deal Structuring
Correlate pricing actions with business outcomes like profit realization, win rates, and deal velocity. Surface what moves the needle.
Optimize all of your Price Lists
Define optimal base prices or list prices by product, customer, segment, channel, and region or any other dimension using model recommendations
Setup Discount Guardrails
Ensure discounts are aligned with value, volume and profitability by understanding their impact on win rate across customer segments
Model Elasticity and Volume Impact
Forecast how changes in price affect volume and revenue by measuring price sensitivity across all of your product and customer combinations
Quantify Impact with Counterfactual Analysis
Simulate “what if” outcomes for individual quotes or renewals—e.g., what would margin have been if we had priced differently?
Deliver Context-Aware Pricing Recommendations
Leverage prescriptive intelligence to suggest optimal prices using real-time inputs like cost, competitor moves, and demand signals.
Continuously Learn and Refine Pricing Strategies
Apply 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.
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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
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
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
Unsupervised Learning
Detect natural pricing segments and identifies anomalies like rogue discounts or margin erosion before they become costly.
Reinforcement Learning
Fine 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.
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Unlock and Defend Margin
Optimize SKUs and accounts while protecting against destructive discounting.
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Balance Risk and Reward
Model trade-offs across revenue, profit, and competitiveness.
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Institutionalize Pricing Intelligence
Use elasticity and playbooks to make optimization repeatable and scalable.
Common Questions. Answered For You
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.
Simulation & Optimization focuses on what you can make happen. It tests price or cost changes, models customer reactions, and recommends the best pricing moves to hit your goals.
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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.
