SmartOptimizer

AI Price Optimization Software for Complex B2B Portfolios

Model your market. Predict their response. Optimize your margins.

Traditional pricing models can flatten meaningful differences in customer behavior. SmartOptimizer models price response, forecasts demand, and recommends prices based on your data, market conditions, business objectives, and pricing constraints.

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Leader, 2026
Gartner® Magic Quadrant™ for B2B Pricing and Rebate Optimization Software
Leader, 2025–26
IDC MarketScape: Worldwide B2B Revenue and Profit Optimization Platforms
SOC 2 compliant
Platform-level access control, role permissions and full audit logging

Stop Guessing. Start Optimizing.

Customer response is rarely uniform across an enterprise portfolio. A price increase that works for one segment may lose volume in another, while broad averages can hide where customers are less price-sensitive than expected.
SmartOptimizer gives you a more granular view of customer behavior, expected demand, and the trade-offs between competing pricing objectives.

Understand What Drives Every Purchase Decision

Identify customer and product segments with different buying patterns and price sensitivity. Machine learning models surface the attributes associated with those differences so you can see where pricing behavior is genuinely distinct instead of assuming the portfolio responds as one market.

Predict Demand Shifts before they happen

Build forecasts that account for internal patterns alongside external signals such as seasonality, market volatility, commodity movements, and other relevant indicators.

Optimize for your strategic objectives

Set the commercial objective and the constraints around it. SmartOptimizer evaluates price alternatives against priorities such as margin, volume, revenue, and other business rules rather than optimizing toward a single universal target.

Adaptive Models

Dynamic AI Models that Power Strategic Pricing

SmartOptimizer models how different customers and products respond to price, identifies willingness-to-pay patterns, and turns those findings into pricing guidance you can evaluate before making a change.

  • Discover Meaningful Buying Patterns
    ‍    Use advanced ML models to identify customer and product segments with shared buying patterns and price sensitivity.
  • Understand What Drives Buyer Response
    Use SHAP and LIME frameworks to surface the variables influencing customer response instead of treating the model recommendation as a black box.
  • Validate Pricing Strategies Before You Commit

    Compare alternative pricing strategies and their expected impact on revenue, volume, and price realization before putting a change into the market.
Adaptive Models
Demand Intelligence

Predict Demand Before Market Shifts Hit Your Bottom Line

SmartOptimizer continuously learns from internal trends and relevant external indicators so your forecast can respond as conditions change rather than relying only on historical averages.

  • Market-Aware Forecasting Models

    Adaptive ML models can incorporate external signals such as commodity prices, GDP, and consumption trends to improve forecast precision.
  • Transparent Drivers of Demand

    Test forecast scenarios for demand changes or market shocks and evaluate model performance using MAPE, MAE, RMSE, and confidence intervals.
Demand Intelligence
Optimal Pricing

Balance Optimization with Market Pressure

A mathematically optimal price is not useful if it ignores how your business actually operates. SmartOptimizer evaluates pricing options against customer behavior, market conditions, business objectives, and the constraints you define.

  • Objective-driven Pricing 

    Configure multi-objective strategies around the outcomes you are pursuing and the rules that cannot be violated.
  • Know Why Every Recommendation Was Made

    See the drivers and constraints behind the recommendation so pricing teams can review the logic before acting on it.
  • See the Impact of Every Price Path

    Run simulations across alternative price strategies and compare projected changes in margin, revenue, and volume before selecting a path.
Optimal Pricing

How SmartOptimizer Turns Data Into a Price Recommendation

1. Bring the Relevant Data Together

Use customer, product, transaction, market, and external data from the systems already supporting your pricing process.

Customer data · Product data ·Transactions · Market signals
Price list dashboard for United Kingdom market 2026 showing products with subcategory, product name, customer name, and proposed prices in GBP.

2. Identify Meaningful Customer and Product Segments

Model differences in buying behavior, price sensitivity, and willingness to pay rather than applying one assumption across the entire portfolio.

Buying behavior · Price sensitivity · Willingness to pay
Dashboard showing quote details for REI-CA with revenue $426,968, target opportunity $14,170, gross margin 15.24%, approval level 03, and a product list including FireflyCharger, TrailChefSingleFlame, TX, and TrailChefCanteen with volumes, line scores, and prices.

3. Model Price Response and Demand

Estimate how demand may change at different price points and identify the variables contributing to that response.

Demand forecasting · Response curves · Model drivers
Dashboard showing rebate accruals for Brookfield Operations from 01/01/2025 to 11/30/2025 with rebate accrued $799,984, volume 79,998 tons, pace volume 319,994 tons, and revenue $75,525,730; accrual summary table lists periods Sep., Oct., and Nov. 2025 with respective start and end dates, statuses as Accruals in Progress, and sales volumes in tons.

4. Optimize Against Your Objectives and Constraints

Evaluate price alternatives against commercial goals and the business rules that define an acceptable recommendation.

Margin · Revenue · Volume · Business constraints
AI model analytics waterfall chart showing contributions to f(X) value 5.72 with labeled factors like sales group, material description, and price sensitivity.

5. Deliver the Recommendation Into the Pricing Workflow

Surface the recommended price and its supporting rationale where the pricing decision will be reviewed or executed.

Recommended price · Expected impact · Supporting rationale
Table showing event schedules for the brand Argon in categories Beverages and Dried Flowers, with events like Holiday Sales, Argon Seminar, and Argon Conference in 2026; filter option set to Category + Brand.
Customer Results

Results Across Complex Pricing Environments

“Before Vistaar, we were managing thousands of price points in spreadsheets. Now our pricing updates in hours, not weeks”

Global Pricing Leader
Fortune 100 Electrification provider
$10B+
Industrial Manufacturer
35%+
Reduction in manual labour
3–5%
Margin improvement

“Vistaar delivered the strategic pivot we needed. We lowered prices to grow market share and increased margins by 10%. We broke even in the first month and now the system pays for itself in just a few days”

Director of Pricing
Large Retailer
8-10%
Effective margin improvement
10
Basis points market share increase

“With Vistaar, we increased our digital revenue annually by 5%!”

Senior Commercial Director
Global Publishing Company
80,000
Products across ~20 countries
5%
Revenue increase

See How Your Portfolio Responds Before You Change the Price

Test SmartOptimizer against your own pricing data, customer segments, and commercial objectives.

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Integrations

Keep Optimization Connected to the Data It Depends On

Optimization models lose value quickly when product, customer, sales, or market data has to be moved manually between disconnected systems. SmartOptimizer can ingest data from the systems where it already lives and connect its recommendations with the broader Vistaar pricing environment.

Vistaar Ecosystem Integration

Connect SmartOptimizer with SmartPricing, SmartQuote, and SmartPromotions so optimization output can support the pricing, deal, and promotion workflows where decisions are executed.

Native SAP Integration

Connect to SAP for product, customer, and transaction data required by the optimization process.

Universal Connectivity

Bring in data from SAP, Oracle, Snowflake, Databricks, SQL databases, cloud data warehouses, CSV files, or Excel depending on the customer's existing architecture.
Vistaar's broader implementation approach starts by mapping the customer's existing technology stack and APIs and reusing what is already available rather than rebuilding every connection from scratch.

Not sure where to begin with price optimization?

You may have enough data to see the opportunity without being ready to commit to a full optimization program. SmartOptimizer Quick Start lets you test a focused pricing problem using your own data, work with Vistaar's pricing science team, and quantify the potential impact before making a broader investment.

A simple, proven place to start

Start with a defined part of your portfolio instead of trying to optimize every customer, product, and market at once.
Build forecasting or optimization models in weeks using your own data, without starting with a large-scale implementation.

Expert guidance without the heavy lift

Vistaar's pricing science team works with you to configure models, test assumptions, and interpret early results.
The work stays grounded in the commercial question you are trying to answer rather than producing a model that the business does not know how to use.

Quantify the Opportunity Before Expanding

Compare scenarios across margin, revenue, and volume to understand whether the optimization opportunity is large enough to justify a broader rollout.

 Launch Our Quick Start Within 4 Weeks
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Built on a Platform Designed for Enterprise Scale

SmartOptimizer runs on the Vistaar Platform, giving pricing teams the configuration, integration, and scale required to use optimization across large product, customer, and geographic portfolios.

Learn More About the Vistaar Platform

Configure With Confidence

Set the objectives, calculations, workflows, and business rules relevant to your pricing process instead of rebuilding your operating model around the software.

Scale With Your Business

Whether you're pricing 500 SKUs or 50,000, the Vistaar Platform supports expansion across users, products, markets, and use cases.

Integrate With Your Existing Systems

Connect the optimization process with the enterprise systems already supporting product, customer, transaction, market, and pricing data.

Optimization Problems Change by Industry

Price sensitivity, data availability, commercial constraints, and the trade-offs between margin and volume look very different depending on how an industry goes to market.

Industrial Manufacturing

Optimize across negotiated customer pricing, large product portfolios, changing input costs, and different willingness-to-pay profiles rather than relying on the same cost-plus logic for every account.

Explore Industrial Manufacturing  →

Retail

Balance margin and market-share objectives while accounting for competitor price moves, demand changes, and customer response across a large assortment.

Explore Retail Pricing  →

Distribution

Model customer-specific pricing across large account and product portfolios where buying behavior, negotiated terms, supplier economics, and customer willingness to pay can vary materially.

Explore Distribution Manufacturing  →

Steel

Account for volatile commodity inputs and differences in customer economics when deciding where cost changes can be passed through and where the market supports another price.

Explore Steel Pricing  →
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CPQ FAQs

Price optimization software uses customer, product, transaction, market, and other relevant data to estimate price response and recommend prices that support defined business objectives. SmartOptimizer combines segmentation, demand forecasting, price-response modeling, scenario analysis, and optimization so teams can review both the recommended price and its expected commercial impact.

Price optimization helps determine what price may best support an objective, while price management governs how prices are maintained, approved, and executed across the business. SmartOptimizer focuses on predictive modeling, elasticity, demand forecasting, scenarios, and recommendations. SmartPricing manages enterprise pricing structures, rules, workflows, governance, and execution.

The data requirement depends on the optimization problem and level of recommendation being modeled. SmartOptimizer can work with customer, product, transaction, market, and external data sourced from enterprise systems, databases, warehouses, and files. Product/Price Science should confirm minimum historical-data guidance before publication rather than applying one generic requirement to every model.

Forecast accuracy depends on the data, market, model, forecast horizon, and level at which demand is being predicted. SmartOptimizer surfaces measures including MAPE, MAE, RMSE, and confidence intervals so pricing teams can evaluate forecast quality rather than relying on an unsupported universal accuracy percentage.

Yes. SmartOptimizer is designed to expose the drivers and constraints behind a recommendation. SHAP and LIME are used in the current product copy to explain price response, while scenario analysis lets teams compare the expected margin, revenue, and volume impact of different pricing strategies before deciding what to implement.

SmartOptimizer generates pricing recommendations based on the data, models, objectives, and constraints configured for the use case. Your team still defines the commercial objective and governance around how those recommendations are used. Sabitra describes predictive AI as doing the analytical work while the business retains responsibility for model criteria and configuration.

SmartOptimizer Quick Start is designed to build a focused forecasting or optimization model in weeks, using your own data. The exact timeline depends on data readiness, scope, model configuration, and validation. Product/Price Science should provide the approved phase-level timeline before a more specific claim is published.

SmartOptimizer pricing depends on the scope of the optimization program and the commercial agreement with Vistaar.

Resources

Read More About Vistaar and the Work We Do

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Let Routine Quotes Move.

Put the Right Exceptions.
In Front of the Right People.

See how SmartQuote can apply your pricing guidance, margin rules, and approval thresholds without adding another manual review to every deal.

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