Skip to main content
Vendavo logo
Revenue VelocityEstablished · 28 yrs on market

Vendavo

AI-powered B2B pricing, quoting and rebate platform that turns commercial complexity into 1–3% incremental gross margin.

By Vendavo · HQ Denver, US · 3.5/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Global B2B manufacturers and distributors managing thousands to millions of SKUs across regions and channels
  • Enterprises with complex price waterfalls, customer agreements, channel/partner pricing and rebate programmes
  • Pricing, finance and sales teams that need floor/target/stretch deal guidance inside quoting workflows
  • High-tech, industrial, chemicals and building-products firms selling through both direct and indirect channels
  • Companies replacing spreadsheet-based price lists, quote approvals and rebate administration

Ideal size: 100+ (enterprise commercial organisation) people · Large enterprise with ERP/CRM systems in place and a dedicated pricing or commercial operations team

Not for

  • Start-ups and small businesses without a dedicated pricing or commercial operations function
  • Buyers wanting self-serve, low-cost pricing tools or published list pricing
  • B2C or simple subscription businesses with a single price list and no negotiated deals
  • Teams looking for a standalone CPQ replacement with no ERP or data integration effort

Value metrics scorecard

Time-to-Value

3–6 months for phased enterprise rollout

~120 days to first production value

Total Cost of Ownership

$150,000/yr

Starts at $50,000 · Quote-based enterprise annual subscription; no public list pricing, demo requested instead

Implementation Friction

4/5

Engineering + admin effort required

Value-Position score

3.5

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not published — enterprise, quote-based licensing scoped to users, SKUs and modules

Add-on costs

  • None

Company & support

Who is behind Vendavo, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Denver, US

How you get support

  • PhoneNot listed
  • EmailNot listed
  • Live chatNot listed
  • Support portal / ticketsPlan not stated
  • Community forumNot listed
  • Help centre / docsPlan not stated
  • Dedicated account managerNot listed
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Not stated

Support Portal (tickets, resources) and product documentation are the publicly listed support routes; Vendavo University covers training. No plan tiers, hours or SLA are published. The phone number and email addresses on the contact page are headquarters/general contacts, not support lines.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Vendavo sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$19k/yr$42k/yr$95k/yr$120k/yr$160k/yr21d48d75d100d120dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyVendavoXactlySalsifyDemandbaseAct-OnPepperi

The lines cross at the median of the solutions shown, so about half sit on each side of each line. A dashed ring marks an outlier pinned to the edge; hover for its value.

Vendavo is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Vendavo
  • Xactly
  • Salsify
  • Demandbase
  • Act-On
  • Pepperi
Add or change companies

Up to 10 companies including Vendavo. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceIntegration
AWSIntegration
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPIntegration
SlackNot supported

AI & MCP readiness

What Vendavo ships in AI, and what it asks of your ecosystem.

AI features shipped

AI added to an existing product
Copilot / assistantAgentic workflowsPredictive analytics

Sources describe quantitative AI, machine learning and agentic AI embedded in the platform, including a conversational Pricing Assistant and an AI Rebates Assistant for incentive and SPA administration; price optimisation uses elasticity modelling on transaction data. No model provider, training-data policy or AI audit capability is stated.

Your data & models

Trains on your data
Not recorded — ask the vendor
Runs on
Not recorded
AI pricing
Not recorded

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 ISO 27001 GDPR HIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Vendavo is an enterprise commercial platform for B2B pricing, quoting, agreements and rebates, aimed at manufacturers, distributors and industrial services firms managing large, complex product portfolios. One data model connects to ERP, CRM and CPQ systems, with AI and machine learning embedded for price optimisation, deal guidance and margin-leakage analysis. Vendavo reports customers typically gain 1–3% gross margin, faster quote cycles and fewer rebate errors. Pricing is quote-based and implementation is a consulting-heavy enterprise project.

Frequently asked questions

What results do Vendavo customers report?

Vendavo states customers commonly see 100–300 basis points of pricing and margin improvement, with 1–3% gross margin gain highlighted on its customer page. Published examples include Dell Technologies sending 90% of quotes within four hours with 75% needing no pricing approval, and a customer adding $3.7M of new revenue in under four months. Outcomes depend on data quality, pricing governance and process discipline.

How is Vendavo priced?

Vendavo does not publish list pricing; the pricing page offers a demo and a data sheet instead. Commercials are quoted per enterprise, normally as an annual subscription scoped to modules, users and SKU or transaction volumes. Buyers should budget separately for integration and implementation services, which are usually delivered with Vendavo or its consulting partners.

How long does implementation take?

Vendavo publishes no standard timeline. The platform connects to ERP, CRM and CPQ systems through APIs, batch jobs and file-based exchange, so effort scales with the number of source systems, pricing rules and channels involved. Customers describe phased rollouts and cite payback within months of go-live, but buyers should plan for a multi-quarter enterprise programme.

Which systems does Vendavo integrate with?

Vendavo names Salesforce, SAP, Oracle, AWS and Microsoft Dynamics among supported platforms, plus ERP, CRM, CPQ, financial and eCommerce systems more generally. Integration methods include real-time APIs, batch processing, structured data exchange and secure file-based integration for journal extracts and reconciliation, with governed, auditable data flows.

What certifications and compliance standards does Vendavo hold?

The security page states annual ISO 27001:2022 certification, SOC 1 Type 2 and SOC 2 Type 2 audits, and a published CSA STAR CAIQ self-assessment. It also states support for EU and UK GDPR and California CPRA requirements, with encryption in transit and at rest, RBAC/ABAC, SSO, segmentation and 24x7x365 security operations oversight.

What AI does Vendavo include?

Vendavo describes quantitative AI, machine learning and agentic AI embedded in the platform, including a conversational Pricing Assistant for questions on margins, discounting and pricing opportunities, and an AI Rebates Assistant for incentive and special pricing agreement work. Price optimisation uses transaction signals and elasticity modelling with explainable recommendations. The sources do not name underlying model providers or state how customer data is used for training.