Turn complex commercial data into AI-powered insights, recommendations, and actions that protect margins and accelerate growth.
B2B organizations manage millions of pricing decisions across products, customers, regions, and channels. Pricing intelligence, powered by AI, is necessary to understand price response signals within massive data sets. Predictive models and optimization algorithms help teams deliver consistent pricing guidance, uncover margin opportunities, and maintain discipline across large portfolios, enabling enterprises to scale pricing precision without increasing operational complexity.
Provide explainable recommendations that allow teams to understand how pricing guidance and insights are generated. Every recommendation is supported by data and context, helping users see the factors influencing pricing outcomes.
This transparency builds trust across pricing, sales, and finance teams while reinforcing governance and accountability. Organizations gain confidence that AI-generated recommendations remain aligned with strategy, policies, and real-world commercial conditions.
Automate complex pricing and margin analysis across large transaction volumes that are near impossible to evaluate manually. Machine learning models process vast datasets to detect patterns, anomalies, margin leakage, and growth opportunities.
By automating routine analysis, organizations dramatically reduce time spent on manual reporting and investigation. Pricing teams gain faster insights, focus on strategic initiatives, and guide the business with intelligence that scales across the enterprise.
Explainable recommendations supported by transparent data inputs and contextual signals. Pricing guidance and margin insights are accompanied by the underlying data drivers and analytical reasoning that produced the recommendation. This transparency allows pricing and sales teams to trust the system and validate AI-driven guidance.
AI Assistants, with a natural language interface, analyze enterprise commercial data and generate insights on demand. These agents perform root cause analysis, evaluate pricing trends, compare performance across segments, and recommend next actions. Users can interact with the system conversationally to investigate margin performance and pricing outcomes.
Use recommendation algorithms that compare purchasing behavior across similar customers to identify whitespace opportunities across accounts within the product portfolio. The models estimate and show the probability and potential value of cross-sell opportunities, allowing sales teams to trust and prioritize the most promising revenue opportunities.
Evaluate historical transaction data, customer behavior, and product attributes to generate pricing guidance tailored to each deal scenario. Advanced algorithms calculate recommended pricing ranges that balance competitiveness with profitability.
Sales teams receive contextual price recommendations directly within quoting workflows. This guidance helps them negotiate confidently, close deals faster, and maintain alignment with pricing strategy while protecting margin outcomes in complex negotiations.
Anders Hellman | Director Parts Pricing & BI Management, Volvo
Decades earning trust as the leader in commercial excellence.
See the platform in action. The Vendavo Demo Series showcases how organizations capture more margin and revenue through a unified pricing, quoting, and rebates platform. Each session includes a live product demonstration and Q&A with our in-house experts, so you can explore the platform, pressure-test the logic, and get clear answers to complex questions.
