AI-driven guidance across your entire growth and profitability journey

You need speed and agility for faster, more profitable business processes. We have the right tools for you and your competitive markets. Vendavo’s explainable, controllable guidance for success comes from the combination of Artificial Intelligence + Human Intelligence

Explore the AI Inside the Growth and Profitability Suite

Discover what’s causing changes in your revenue and margin  

AI insights into price, volume, mix 

Leveraging your sales transaction history, Margin Bridge Analyzer uses advanced AI techniques to break down the complex dynamics of price, volume, and mix. This textbook concept, often difficult to scale, is made actionable by our AI, revealing hidden patterns in your data to drive smarter decisions and boost profitability.

Find where you have revenue and margin leakage and what you can do to fix it 

Margin leakage actions for sales, channels, and pricing 

Margin Bridge Analyzer analyzes your sales transaction history using advanced statistical and regression models to identify revenue and margin leaks.  

Identify what products you should be proposing to customers 

AI product guidance for sales 

Vendavo Sales Optimizer analyzes your sales history to recommend the right products for each customer. Using advanced machine learning techniques our system predicts customer preferences by leveraging the buying patterns of similar clients

Determine optimal negotiated prices to quote in any situation 

AI price guidance for sales 

Vendavo Deal Price Optimizer equips your sales team with the optimal price to quote in any scenario by analyzing your sales history, transactions, and related data. It enables you to target pricing improvements by combining factors that work across regions, companies, and business units, while also allowing you to understand the consequences of price changes and include important factors that influence customers’ willingness-to-pay. With its ability to navigate complex data, Vendavo Deal Price Optimizer helps you determine the best-negotiated price, leading to faster quotes, better win rates, and increased results.

Identify and visualize opportunities for business improvement 

Descriptive and diagnostic analytics for commercial process 

Vendavo Profit Analyzer provides tailored insights into pricing, selling, and channel management by leveraging your sales transaction history. Identify opportunities for the business and work with stakeholders to improve your margin and profitability. 

Are you prepared for the AI pricing and selling revolution? 

AI isn’t just a buzzword anymore. It’s fundamentally changing how businesses operate. Enhance your operations with our AI-powered solutions designed to optimize every aspect of your pricing, selling, and channel and incentive processes.  

Vendavo’s Approach to AI

Responsible innovation thrives at the intersection of AI and human collaboration. At Vendavo, we prioritize data security, privacy, and the responsible use of AI in price optimization and commercial guidance. Our approach pairs human expertise with AI to drive smarter, data-driven decisions. By using AI as a copilot, we empower our customers to better serve their clients, leading to a brighter, more successful future. Our principles are summed up by three statements: AI should be responsible, AI should be accountable, and AI should be paired with humans.

Vendavo Simplifies Revenue Optimization

It’s important to remember, At Vendavo, we’re not building an AI solution, we’re building an operating SaaS for business enterprises that leverages AI. It’s simple to understand, explainable, and effective. Vendavo leverages several AI technologies, both in our core capabilities, and general usability and user experience. 

AI Expertise and Thought Leadership

Artificial Intelligence FAQ

Artificial intelligence (AI) refers to the ability of machines to perform tasks that typically require human-like intelligence, including visual perception, speech recognition, decision-making, and natural language processing. AI systems use algorithms and mathematical models to analyze data, learn from patterns, and make predictions or decisions.  

Rule-based systems, machine learning, and deep learning are different types of AI. Rule-based systems follow predefined rules to make decisions, while machine learning algorithms learn from data to improve their performance over time. Deep learning, a subset of machine learning, uses neural networks that mimic the structure and function of the human brain. Click here for more information on how AI works, its benefits, and its challenges

Artificial intelligence can amplify human intelligence to do more work, more efficiently and more effectively. Businesses can be more agile, innovative, and responsive to market changes, to grow more profitably. 

There are many different methods within AI. Different AI methods use different data, in different ways, and have unique advantages and disadvantages. One of the subsets of AI is Machine Learning which involves the use of various algorithms and statistical models that enable AI without explicit logic or rules. There are many types of Machine Learning including: 

  • Supervised Learning – Uses labeled training data to teach a model a specific goal. The model has a baseline understanding of what the correct output values should be, and the input mapped to the output based on the training data. 
  • Unsupervised Learning – Uses unlabeled data to learn the structure of the data without explicit instructions. The goal is to discover patterns, group similar instances, or detect anomalies. 
  • Reinforcement Learning – Uses rewards and punishments to mimic the way humans learn to achieve their goals. 
  • Deep Learning – Advanced machine learning that typically leverages deep neural networks 

Other subsets of AI include Rule-Based Systems, Robotic Process Automation, and Automated Process Workflows.  

Vendavo’s AI capabilities support pricers, sellers, channels, finance teams, and business leaders in making faster, better, data-driven decisions for growth and profitability. 

There are many goals of analytics and AI. First, you have descriptive and diagnostic analytics which can be thought of as having hindsight and insight. These are fairly commonly used and often serve as a foundation for more advanced goals such as predictive, prescriptive, and generative AI.  

An AI price solution using machine learning automatically learns from accessing and analyzing data sources – like historical transactional data – and quickly optimizes pricing recommendations without needing to be reprogrammed. 

What we have found to be the most effective approach is to leverage data science techniques and models that are understandable by business stakeholders, and that are combined with human intelligence.  Some refer to this approach as a “centaur”, “cyborg” or “copilot” approach. This combination of machine intelligence and human intelligence has proven to be the most effective way to leverage advanced data science in many cases, especially in B2B enterprises. 

Vendavo solutions incorporate fully embedded AI for leading-edge performance. For instance: Vendavo’s Deal Price Optimizer software lets you calculate optimized pricing guidance thanks to a patented Power & Risk algorithm that uses your historical transactional data. The result? You quickly present customers with optimized prices that maximize margin and minimize the risk of losing them during negotiations. Our Deal Price Guidance solution delivers deal-specific pricing guidance directly to your CRM and quotation workflow, while continuously optimizing deal win rates, enterprise profitability targets, and the overall customer experience. Learn more about Vendavo products here

No, Vendavo is not a machine learning platform or CAIDS where users build their own models and applications. Vendavo builds and operates purpose-built SaaS solutions for manufacturing and distribution industries, that enable advanced analytical insights, AI price management & optimization, digital commerce & sales processes, and rebate & channel incentive management. While our SaaS products have data science embedded within them, users are still able to supervise, fine-tune, and control these models by changing the algorithmic parameters (available in the GUI). 

We frequently work with our customers to collaborate on enhancements, new capabilities, and even new products through our Vendavo Solutions User Group (VSUG) and our Vendavo Lighthouse Customer Program.  Most of our enhancements and innovations over the years have been driven by our customers.