CRM

Migrate your Zilliant CPQ data

Manufacturing-focused CPQ with strong pricing optimization and variant configuration for B2B distributors. Integrates natively with Salesforce and SAP but carries heavy configuration complexity that complicates migrations.

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In its favor

Why people choose Zilliant CPQ

The signal that keeps Zilliant CPQ on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

G2 users cite efficient quote cycle times and faster configuration of complex machine builds compared to legacy systems, especially in mid-market manufacturing

Customization and integration capabilities receive consistent praise, with users highlighting extensibility for additional application logic via Groovy

Highly rated on G2 (~4.8) for product management, specifically around variant configuration models being accessible to sales teams for the first time

Increased pricing and quoting accuracy translates directly to savings in order-change rework, according to validated G2 reviews from sales support managers

B2B distributors and manufacturers choose Zilliant for AI-powered pricing intelligence embedded directly in the quote workflow rather than as a separate analytics layer

Slow loading and performance issues during complex operations are the most cited frustrations, particularly during quote generation with many line items

Time lag between configuration completion and pricing calculation creates friction in fast-moving sales cycles, with users describing it as a recurring bottleneck

Manufacturing complexity that exceeds the platform's constraint-based configuration model forces teams to maintain workarounds outside CPQ, undermining the single-source-of-truth goal

Integration complexity with multiple ERP systems (SAP, Salesforce) creates data synchronization drift that requires manual correction

Some users report the platform's opinionated approach to pricing logic conflicts with unique discounting requirements in their specific vertical

Reasons to switch

Why people leave Zilliant CPQ

The recurring reasons buyers give for replacing Zilliant CPQ. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Zilliant CPQ fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Variant configuration models for complex manufactured products are purpose-built and accessible to sales teams without engineering involvementReal-time pricing calculations and dynamic cost estimations eliminate manual quote math errorsGuided selling flows steer reps toward margin-positive configurations automaticallySalesforce CPQ and SAP integrations are natively supported with documented connector endpointsProduct modeling supports characteristic-based rules for assemble-to-order and engineer-to-order workflows

Weaknesses

Performance degradation on complex operations with many line items is a documented user complaintConfiguration-to-pricing lag creates quote turnaround friction in fast sales cyclesHeavy reliance on Groovy scripting for custom logic means bespoke workflows do not export cleanlyBDA custom-field architecture between C4C and CPQ introduces localization loss on list-type fieldsNo publicly documented API rate limits or bulk-export mechanism in available documentation

Where it works

Mid-market B2B manufacturers with 51–1,000 employees that need to expose complex variant configuration models to sales teams without engineering involvementCompanies already running SAP or Salesforce whose pricing data lives in those systems and requires native connector sync rather than middlewareDistributors selling configure-to-order or engineer-to-order products where guided selling rules steer reps toward margin-positive combinationsOrganizations with established pricing teams managing multi-tier pricing schemes (catalog, matrix, agreement, override) who want AI pricing intelligence embedded in quotesManufacturing environments where product families have characteristic-based rules that map cleanly to CPQ constraint models

Where it struggles

Fast-moving sales cycles where time between configuration completion and pricing calculation creates quote turnaround friction that stalls deal momentumHigh-volume quote environments with many line items where performance degradation during complex operations becomes a documented bottleneckCompanies with non-standard ERP stacks or multiple disconnected systems where Groovy-based custom logic does not export cleanly during migrationsVerticals with unique discounting requirements that conflict with the platform's opinionated pricing model, forcing teams to maintain workarounds outside CPQOrganizations requiring complex subscription or usage-based pricing models where the platform's manufacturing-focused schema lacks native support

Pricing tiers

Zilliant CPQ pricing overview

Zilliant does not publish per-seat or per-tier pricing publicly. Sales engagements are custom-scoped and include professional services for implementation. The Quick Start program (3-8 week deployment) suggests a structured entry tier, but specific feature gates between editions are not documented in available sources.

Not publicly documented

Tier 1 of 1

Contact sales

What's included

Zilliant does not publish pricing tiers on its websitePricing is sold as part of the Precision Pricing PlatformTypical engagement includes Quick Start deployment (3-8 weeks) at additional costEnterprise agreements with ERP integration requirements likely involve custom scoping

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Pricing is informational. FlitStack AI does not bill on Zilliant CPQ's schedule — see our quote-based pricing →

What gets migrated

Zilliant CPQ object support

Object-by-object support for Zilliant CPQ migrations. Per-pair details surface during scoping.

Products

Fully supported

Products are the primary CPQ entity and map directly to Material in ERP terminology. Standard and custom product attributes are available. We migrate product hierarchies and variant configuration rules as structured rule sets. ERP_ID cross-references are preserved to maintain downstream sync integrity.

Quotes

Fully supported

Quotes represent the core output object in Zilliant CPQ. We migrate Quote headers, line items (SalesItems), pricing calculations, and guided-selling context. We flag historical Quote status states explicitly so closed/won/lost states map correctly to the destination.

Price Lists

Fully supported

Price Lists contain catalog, reference, global list, published, and matrix price types. We preserve the full price type hierarchy and sequencing. Multi-currency price lists require explicit currency mapping during migration.

Price Items

Mapping required

Price Items are linked to Products and belong to Price Lists. ERP_ID column visibility can be toggled via UI Profiles system-wide or per-role—ERP cross-references may be hidden but are still present. We extract both visible and hidden ERP_ID fields to avoid orphaned pricing rows.

Sales Agreements

Mapping required

Sales Agreements store customer-specific pricing contracts. They contain effective date ranges, discount tiers, and pricing overrides. We map agreement structures to destination equivalents but tiered and scaled pricing logic may require field-level reconfiguration at the destination.

Guided Selling Rules

Mapping required

Product rules defined by characteristics drive guided selling flows and constraint-based configuration. These are stored as structured rules, not individual records. We export them as rule packages; destination systems without constraint-based configuration engines will need manual reimplementation.

Business Data Attributes (BDAs)

Mapping required

BDAs are custom fields mapped between SAP C4C and CPQ via lookup tables supporting String, Boolean, and Decimal types. Localization of list-code values in C4C is not preserved in BDA—only the raw code is stored. We flag all BDA mappings for manual validation post-migration.

Accounts

Mapping required

Accounts are subject objects in CPQ, linked to Quotes and Opportunities. They support standard and custom attributes. Large account hierarchies with custom address structures require field-level mapping during migration.

Contacts

Mapping required

Contacts are subject objects with PartnerRoleRecord associations. We preserve contact-to-account linkages and custom BDA fields. Partner function records attached to contacts require additional mapping work.

Sales Items

Mapping required

Sales Items are the line-item subject type in CPQ, containing quantity, pricing, and product references. Complex BOM (Bill of Materials) item configurations with nested quantity settings require recursive extraction to preserve the full product structure.

Attachments and Notes

Mapping required

Attachments and links in the Notes section of Quotes had a known bug where single-click downloads could trigger multiple downloads equal to the number of attachments—this was resolved in a recent patch. We migrate attachment metadata and links, but file binaries require separate file-transfer handling.

Custom Fields

Mapping required

Zilliant CPQ supports standard pre-delivered attributes plus custom attributes via the CPQ schema. Custom field mapping between C4C and CPQ uses BDA lookup tables. We export custom field definitions and data but cannot guarantee equivalent custom-field capabilities at the destination.

Users and Access

Mapping required

User management includes domain-approval restrictions—users with unapproved email domains cannot sign in. Role-based UI Profiles control field visibility (e.g., ERP_ID column). We migrate user records and role assignments but domain-allowlist configuration must be replicated manually at the destination.

Gotchas

What to watch for in Zilliant CPQ migrations

Issues we've hit on past Zilliant CPQ migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

Groovy scripted logic does not export as data

Medium

ERP_ID column may be hidden but still critical

Medium

SAP characteristic labels can duplicate after legacy migration

Medium

BDA list-type fields lose C4C localization

Low

Attachment downloads could fire multiple times on older builds

How a Zilliant CPQ migration works

Four steps, Zilliant CPQ-specific

Connect

Not publicly documented into Zilliant CPQ. Scopes limited to read-only on the data we move.

Map

We translate Zilliant CPQ-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Zilliant CPQ quirks before production.

Migrate

Full migration with Zilliant CPQ rate-limit handling. Rollback available throughout.

FAQ

Zilliant CPQ migration FAQ

Answers to the questions buyers ask most during Zilliant CPQ migration scoping. Not seeing yours? Book a call.

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Most Zilliant CPQ migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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