Discover the right Zilliant solutions for your business.

Our Platform and SaaS applications are specifically tailored to meet the pricing, sales and commercial needs of B2B manufacturing, distribution, and services companies.

See how we deliver the highest ROI across a diverse range of B2B industries.

We take the time to understand each customer’s unique needs, problems, pain points, and desired outcomes while applying more than 20 years of pricing and sales expertise specific to B2B industries.

Set smarter pricing and sales strategies.

Learn more about how Zilliant is helping companies power intelligent commerce and deliver profitable growth. Explore this collection of trends, case studies, in-depth analyses, strategies and tactics to address your most important pricing and sales challenges.

Why Zilliant
Learn why leading B2B companies choose Zilliant.

Zilliant helps our customers power intelligent commerce by connecting commercial strategies with effective execution through cloud-native pricing and sales software.

Customer Success
Explore what our dedicated team of B2B pricing and sales experts can do in your business.

Enabling customer success is our top priority. Learn how we deliver measurable benefit and drive long-term success.

Lee Rehwinkel
Vice President of Science and Analytics
Lee leads the Data Science team at Zilliant, where he is responsible for the development and implementation of Zilliant’s data science methodologies. For over 15 years, Lee has helped companies drive digital transformations by leveraging Big Data, Machine Learning, and Optimization to extract the most value out of their data assets. He holds an MS and BS in Operations Research from Columbia University and an MS in Computational Finance from Carnegie Mellon University.  Outside of office, Lee can be found either with his 3 boys or rowing on Austin’s iconic Lady Bird Lake.

Thought Leadership Highlights

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[TechTarget] 10 AI tech trends data scientists should know

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Blog Post

Pricing Data Science FAQs with Zilliant VP of Science & Analytics Lee Rehwinkel

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Blog Post

What Will AI Look Like in 10 years?