Analyze competitive landscape
We create extensible price scraping solutions that collects price, promotion, and inventory information from dozens of sources. Our solutions are designed to easily integrate with new sources and data provides.
We provide advanced models and tools that help you to analyze the impact of competitor pricing on your business, as well as research the efficiency of competitors’ campaigns and pricing strategies.
Find the best strategy for each product
We develop analytical tools that help to deeply analyze your product portfolio and evaluate the current and potential performances of individual products, categories, and lines of business. These tools help to optimize product design and manufacturing decisions, pricing strategies, and promotion management processes.
Understand your revenue structure
Our analytical tools and dashboards enable comprehensive analysis of costs and profits, helping to control pricing decisions at all levels, harmonize promotion strategies across retail clients and partners, and detect hidden issues.
Overcome data limitations
Price optimization in B2B environments is challenging because of limited data availability and data quality issues. We overcome many of these limitations using unique machine learning methods that we developed over years of practical B2B price optimization. We leverage anomaly detection and imputation techniques to improve data quality, product similarity analysis based on images and textual descriptions to increase catalog coverage, and much more.
Evaluate pricing scenarios
Our B2B pricing solutions provide simple yet powerful interfaces for price and promotion optimization. You can evaluate various pricing scenarios in real time, getting a detailed forecast of profits and revenues as well as cannibalization, halo, and pull-forward effects.
Measure ROI with confidence
Measuring the true ROI of pricing actions is challenging because of complete cross-effects such as cannibalization, halo, and pull-forward. These factors are often ignored in ROI calculations, which yields inaccurate or misleading results. We have extensive expertise in building ROI models that account for complex economic effects using statistical and machine learning methods.
How our price optimization software works
How to get started
We offer free half-day workshops with our top experts in data science and price optimization to discuss your price management process, analytics tools and technologies, and opportunities for optimization.
If you have already identified a specific use case for price optimization or promotion management, we can usually start with a 4–8 week proof-of-concept project to deliver improvements and tangible results.
If you are in the stage of requirements analysis and strategy development, we can start with a 2–3 week discovery phase to identify the right use cases for price optimization, design your solution or product using industry best practices, and build a roadmap.
Learn more about price optimization models
This white paper describes the functional design of a price intelligence platform that extensively uses data science and machine learning methods to provide state-of-the-art decision support and decision automation capabilities. This white paper covers the following aspects of pricing analytics and revenue management:
- Advanced decision support systems for strategic pricing analytics.
- Predictive and prescriptive analytics for the optimization of pricing actions.
- Automatic decision-making components for near real-time and personalized price optimization.
- Advanced statistical analysis for the measurement and decomposition of observed sales and demand data.
We have made this report publicly available to help practitioners create sound pricing strategies and implement effective price optimization models and tools.
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