Manufacturing and technology

B2B revenue management platform

Our B2B revenue management platform is engineered specifically for manufacturing and technology companies to take price optimization to the next level using advanced analytics and machine learning.

Use cases

Strategy

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.

Strategy

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.

Planning

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.

Planning

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.

Planning

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.

Measurement

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.

Our clients

Retail

Hi-tech

Manufacturing

Finance & Insurance

How our price optimization software works

Product similarity models

We provide a wide range of product similarity and extrapolation models that help to overcome data limitations. These models use numerical, categorical, textual, image, and graph data to extend catalog coverage.

Scenario evaluation models and solvers

We build advanced scenario evaluation tools and optimizers on top of the demand forecasting models that support the joint optimization of price parameters for multiple products and time intervals.

Direct-to-consumer features

The optimization models produce feeds that can be integrated with price management systems, marketplaces, and retail partners. We also provide dynamic price optimization models and components that can be integrated with direct-to-consumer channels.

How to get started

We provide flexible engagement options to help you build B2B pricing solutions faster. Contact us today to start with a workshop, discovery, or proof of concept.

Workshops

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.

Proof of concept

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.

Discovery

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

A guide to dynamic pricing algorithms

This article is a deep dive into dynamic pricing algorithms that use reinforcement learning and Bayesian inference ideas and were tested at scale by companies such as Walmart and Groupon. We focus on the engineering aspects through code snippets and numerical examples; theoretical details can be found in the referenced articles.

Retail price modeling for replenishable and seasonal products

In this article, we discuss the common process retailers use to set pricing, the challenges they face in the area of price management, and how they incorporate big data analytics and machine learning into their pricing strategies.

Predictive analytics for promotion and price optimization

Pricing decisions are critical for any business, as pricing is directly linked to consumer demand and company profits. In this blog post, we demonstrate a reference implementation of a price management tool for effective price optimization using AI and machine learning methods.