B2B price management and optimization, including customer agreement updates and price rollouts.
Zilliant is a price management and optimization platform for B2B companies with large catalogs and negotiated customer pricing — distribution, manufacturing, industrial services, and increasingly software. It centralizes price lists and customer-specific agreements, uses AI models to recommend prices and detect margin leakage, and operationalizes price changes: uplift campaigns, agreement repricing at renewal, and governed rollouts pushed to CPQ, ERP, and e-commerce systems. Pricing teams use it to run pricing as a managed, measurable process instead of an annual spreadsheet exercise.
Which of the capability map's modules Zilliant covers — each links to the module's own page, with every tool that supports it.
| Module | Phase | Depth | Note |
|---|---|---|---|
| Win the Deal | |||
| AI Pricing Optimization | Negotiate & Close | Core | Optimization models recommend prices and guardrails from transaction and win-loss data |
| Discount Waterfall & Stacking Rules | Configure & Quote | Supported | Pocket-price waterfall visibility exposes where discounts stack into margin leakage |
| Revenue Policy Governance | Configure & Quote | Supported | |
| Grow Revenue | |||
| Price Uplifts & CPI Escalators | Pricing Lifecycle Ops | Core | Structured price-increase campaigns executed across price lists and customer agreements |
| Renewal Repricing Campaigns | Pricing Lifecycle Ops | Supported | Customer agreement management targets negotiated prices for renewal updates |
| Contract Value Optimization | Expansion Channels | Supported | |
It pairs the two halves most stacks separate: the science (optimization models trained on transaction data, price elasticity, and win outcomes) and the plumbing (a pricing system of record that actually delivers changed prices into quoting and ordering systems). The execution half — campaigns that reprice thousands of customer agreements without leakage — is what distinguishes it from analytics-only pricing tools.
Its heritage is industrial distribution and manufacturing, where SKU-and-agreement complexity is extreme. The underlying problems — negotiated price drift, unmanaged discounting, renewal uplift execution — map directly onto enterprise SaaS, and price optimization vendors are increasingly courting software sellers.
CPQ enforces the prices and guardrails someone decided; optimization decides them. Zilliant analyzes what customers actually paid and won at, recommends target prices and discount floors, then feeds those into CPQ so reps quote from continuously tuned numbers rather than stale lists.
By overlap on the capability map — computed, not curated.