Vendavo provides a Commercial Operating System that unifies pricing, configure‑price‑quote (CPQ), and incentive management on a single AI‑powered platform for manufacturers and distributors. Its embedded, industry‑trained AI continuously analyzes market and cost data to recommend optimal prices, automate quote creation, and design profitable rebate programs, helping teams protect margin and accelerate deal cycles.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers and distributors often face fragmented commercial processes, leading to inconsistent pricing, slow quote generation, and unmanaged rebates that erode margins and hinder growth.
Solution
Vendavo offers a Commercial Operating System that unifies pricing, configure‑price‑quote (CPQ), and incentive management on a single AI‑powered platform. Embedded, industry‑trained AI continuously analyzes market, cost, and customer data to surface margin risks, suggest optimal price points, and recommend rebate structures in real time. The system automates quote creation with guided configuration and pricing rules, reducing cycle time and errors. Integrated analytics provide visibility into revenue, margin, and rebate performance, enabling teams to make data‑driven decisions that protect profit at scale. The platform is built for B2B manufacturers and distributors, supporting complex product catalogs and large transaction volumes.
Target Audience
Primary customers are global manufacturers and wholesale distributors that need to optimize pricing, accelerate quoting, and manage complex incentive programs across large product portfolios.
Features
- AI‑driven price optimization that evaluates market dynamics, cost inputs, and competitive intelligence to recommend margin‑protective pricing
- Intelligent CPQ engine with configurable rules, product hierarchy support, and automated quote generation for fast, accurate proposals
- Rebate and incentive management tools that design, track, and measure promotional programs to align sales behavior with profitability goals
- Real‑time analytics dashboard delivering insights on margin, revenue leakage, and rebate effectiveness across the enterprise
- Integration capabilities with ERP, CRM, and other commercial systems via APIs and pre‑built connectors
- Industry‑specific data models and best‑practice templates that accelerate deployment for manufacturers and distributors