Accelerate Profitable Growth with the Zilliant Blog
Best practices for B2B manufacturers, distributors and service companies.
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What Happens When You Don't Know Willingness To Pay?
How do you calculate willingness-to-pay (WTP), or do you at all?
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Zilliant a Leader in First-Ever IDC MarketScape on Price Optimization
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What Works When Traditional Price Elasticity Fails
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How Sales Leaders Can Meet Modern eCommerce B2B Challenges
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The Leading Edge of Customer-Specific Pricing
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Learn how B2B companies use AI to gain a competitive advantage.
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Tariffs: Manufacturers Are Ill-Equipped for Raw Material Cost Hikes
The import tariffs on steel and aluminum, as confirmed by President Trump on May 31, exacerbated worries for B2B manufacturers—and their customers.
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Massive-scale analysis reveals hidden pockets of uncaptured profit & revenue
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How Best-in-Class Companies Create, Maintain and Renew Customer Prices to Maximize Profitability
For many B2B companies, the proliferation and under-management of customer-specific price exceptions and agreements have become a significant source of margin leakage.
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eCommerce Answered: Achieve Omnichannel Pricing Consistency
On September 14, Nancy Nardin of Smart Selling Tools invited Zilliant VP of Product Management Javier Aldrete and Zilliant Director of R&D, Pricing Science, Amir Meimand to answer eCommerce questions.
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MINDSHARE 2019: The only event tailored for industry leaders who are implementing data science & predictive analytics to drive profitable growth.
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Four Symptoms You’re Suffering from Price Matrix Drift
We operate in imperfect B2B scenarios. If not continually and correctly tended to, your price matrix itself can drift significantly over time - and the results are unattractive.
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How to Use AI in B2B: Choose Vendors Entrenched in the Unique Dynamics of your Business
Zilliant customers discuss the importance of selecting vendors that are entrenched in the unique dynamics of your B2B business.
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How to Use AI in B2B: Increase Sales Rep Confidence
Leading B2B companies don’t take a plug-and-play approach to AI; they work closely with end-users to clearly communicate and effectively manage the change.
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How to Use AI in B2B: Nimble Response to Changing Market Dynamics is Key
In this post of the "How to Use AI in B2B" series, we’ll share how one customer approaches and mitigates volatile cost conditions.
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How to Use AI in B2B: Critical Moments of Customer Contact
How to use AI in B2B to enable productive conversations at all critical moments of customer contact.
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Zilliant Customer Success Team: Meet Mike Morocco
Mike Morocco shares his insights on eCommerce and the top profitable growth challenges he encounters when working with B2B companies.
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[Infographic] AI-Based Sales Intelligence Helps Drive Profitable Growth
Learn how this global industrial manufacturer utilized AI-based sales intelligence to overcome complexity and drive profitable growth.
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[eBook] How a Food Service Distributor Used AI to Revolutionize their Customer Experience
Learn how one B2B food service distributor used AI to revolutionize the customer experience.
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Food Service Distribution: What if Your Products Could Find Your Customers?
It’s a given that food service customers want the consumer-like ease of buying online; this blog post explores how AI can serve up relevant products without customers needing to search for them.
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Smart Pricing Part 4: Application of Unsupervised ML in B2B Companies
Zilliant Director of R&D, Pricing Science, Amir Meimand shares how unsupervised machine learning can be applied for smarter pricing strategies in B2B.
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Smart Pricing Part 3: Unsupervised Learning Algorithms
Zilliant Director of R&D, Pricing Science, Amir Meimand gives a primer on supervised and unsupervised learning algorithms.
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How to Deliver a Consumer-Like eCommerce Experience for B2B
This four-step B2B eCommerce guide tells B2B manufacturers and distributors how to deliver a consumer-like online experience that delights customers.
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Smart Pricing Part 2: Problems Addressed by ML & B2B Applications
Zilliant Director of R&D, Pricing Science Amir Meimand shares a summary of how predictive analytics, prescriptive analytics and machine learning contribute to a smart pricing strategy.
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