Configure • Price • Quote

Your reps close the deal.
Then CPQ loses it.

The last mile between "yes" and "booked" is where large enterprises lose weeks, leak revenue, and frustrate buyers. DevRev eliminates the friction.

See the problem How DevRev helps

The enterprise CPQ gap

You have CPQ tools. You have pricing rules. You have approval policies. But the space between "customer says yes" and "bookable order" is where enterprises bleed.

Configuration complexity

500+ line item quotes with engineered specifications. Products that require technical validation. Configurations unique to every customer's operating conditions.

Approval paralysis

Non-standard pricing triggers 5-7 approvers across Deal Desk, Finance, Legal, and VP of Sales. Each with different thresholds. Deals stall for days in email chains.

🔍

Multi-ERP chaos

The same part has different specs, part numbers, and pricing depending on which country or business unit it's sourced from. A single quote traverses multiple ERPs — each with its own data model, currency logic, and version of truth.

The cost of the status quo

These aren't inconveniences. They're material business risks that compound with every deal.

1-3%

Revenue leakage

Revenue lost to pricing errors, unapproved discounts, unbilled services, and misconfigured deals that slip through manual workarounds.

2-4 weeks

Quote cycle time

Average enterprise deal spends weeks in revision cycles. 3-7 iterations between sales, engineering, and finance while the buyer evaluates alternatives.

30-50%

Non-selling time

Your highest-paid sellers are constrained by process, not ability. Half their time goes to wrestling with configuration tools and chasing approvals.

6+ silos

Organizational friction

Product, Finance, Legal, Sales, IT, and Rev Ops each optimize for their own constraints. CPQ absorbs all that friction and passes it to the customer.

Why CPQ always breaks at scale

The root cause isn't bad software. It's a fundamental architectural problem that bolt-on tools can't solve.

CPQ must be simultaneously rigid — enforcing pricing governance, legal compliance, and margin floors — and flexible — letting reps close complex, non-standard deals quickly. Traditional tools force you to choose one.

📈

Shadow spreadsheets

The official tool can't handle your edge cases — and most deals are edge cases. So reps build offline quotes, bypassing every control you put in place.

🔗

One part, many identities

The same component carries different part numbers, different specs, and different pricing across regions. Reps have to manually reconcile which version to quote from which source — or worse, they guess wrong.

Engineering bottleneck

Configured products require technical validation. Every non-standard request queues behind an engineer who has 40 other reviews waiting. The backlog never clears.

From "yes" to booked — without the friction

DevRev doesn't bolt AI onto your broken process. It eliminates the architectural gap that makes CPQ break in the first place.

Configure
AI-guided
Rules + intelligence, not just rules
Price
Guardrails
Instant validation, smart routing
Orchestrate
DevRev
One platform, all context, AI-native
Quote
Compliant
Auto-generated, legally accurate
Book
Revenue
Clean handoff to ERP/billing
1
Platform replaces 6 disconnected systems
0
Shadow spreadsheets needed
AI
Native intelligence, not bolted-on
100%
Audit trail on every pricing decision

How DevRev actually does this

Not a concept. Not a roadmap. Here's what the platform delivers mechanically.

1

Unified knowledge graph

DevRev ingests data from every connected system — ERPs, CRMs, product catalogs, pricing engines — and builds a single graph of relationships. A part number in Region A maps to its equivalent in Region B automatically. The AI resolves "same thing, different identity" without manual crosswalks.

2

AI agents that traverse systems

When a rep needs a quote, DevRev's AI agents pull pricing, specs, and availability from whichever back-end systems hold the data — regardless of vendor or version. The rep asks one question; the platform queries many systems and returns one answer.

3

Connectors, not rip-and-replace

Keep your ERPs. Keep your existing investments. DevRev connects above them as the intelligence layer — reading from each system and presenting unified output. Works during migrations, works after. No "big bang" cutover required.

4

Approval automation with context

When a quote requires exception pricing, DevRev routes it to the right approver with full deal context attached — customer history, margin impact, precedent from similar deals. Approvers decide in minutes because they have everything they need.

5

Shared memory across every interaction

Every sales conversation, support ticket, engineering spec, and legal negotiation feeds the same system. When a rep asks "have we quoted this configuration before?" — the answer includes context from every prior touchpoint, not just CRM notes.

6

Continuous learning

Every approved quote, every exception, every revision trains the system. Over time, DevRev recommends configurations and pricing that reflect your actual business patterns — not static rules written three years ago.

What this means in practice

Concrete outcomes, not abstract capabilities.

Quote cycle: weeks → hours

AI assembles configurations and pulls pricing from multiple systems simultaneously. What used to require days of manual research and cross-referencing happens in a single interaction.

Approvals: days → minutes

Context-rich routing means approvers get everything they need upfront. No back-and-forth asking "what's the margin on this?" or "have we done this before?"

Accuracy: guesswork → precision

Reps no longer reconcile part numbers across systems manually. The platform resolves cross-system identity automatically, eliminating pricing errors at the source.

Visibility: fragmented → unified

Leadership sees real pipeline data based on actual quote activity — not CRM fields updated once a week. Revenue forecasting becomes data-driven, not opinion-driven.

What changes for your teams

Every persona in the CPQ chain gets relief — not a new tool to learn.

🎯

Sales Reps

AI configuration guidance. Instant pricing guardrails. Auto-generated quotes. Back to selling, not administrating.

Deal Desk

Smart exception routing. Pre-validated requests. See only true exceptions, not routine noise. Clear the queue in hours, not days.

🔧

Engineering

Standard configs validated automatically. Humans freed for true custom work. No more 40-deep review queue for routine specifications.

📋

Finance & Legal

Automated compliance checks. Built-in audit trail. Margin protection without being the bottleneck everyone routes around.

📊

Leadership

Real-time pipeline visibility based on actual quote data. Know what's real, what's stuck, and where revenue is leaking.

Not another layer on the stack

Existing tools separate CRM from work management from pricing from approval from billing. DevRev unifies them — so accountability can't break down in the handoff.

Capability Salesforce CPQ SAP Variant Config Homegrown + Spreadsheets DevRev
Product configuration Manual ✓ + AI
Pricing governance
Intelligent approvals Waterfall only Email chains ✓ AI-routed
Engineering validation Partial Manual ✓ Automated
CRM + Work unified
Cross-silo memory
Natural language queries
Quote → order → billing continuity With integrations ✓ Native

The architecture problem — visualized

You shouldn't need 6 systems and 4 integrations to answer: "Can we sell this, at this price, to this customer?"

Today: fragile, expensive, slow to change

Salesforce CRM Customer data
⚠ Integration layer (brittle) Breaks constantly
CPQ bolt-on (Apttus / Conga / SFDC CPQ) Configuration + pricing
⚠ Spreadsheets + email (shadow system) Where work actually happens
ERP Vendor A
Region 1 / BU 1
ERP Vendor B
Region 2 / BU 2
ERP Vendor C (multiple versions)
Region 3 / BU 3

With DevRev: one intelligence layer across all ERPs

DevRev — Convergent Platform CRM + Work + AI + Knowledge
ERP A
ERP B
ERP C
Keep your ERPs. DevRev unifies the intelligence layer above them — one source of truth regardless of which system holds the data.

"We're already consolidating onto one ERP"

We hear this often. Here's why that makes DevRev more valuable, not less.

📅

Why wait years?

ERP consolidation is a multi-year program. DevRev standardizes your quoting process in weeks — not years. You get immediate relief while the migration runs on its own timeline.

🔭

ERP-independent by design

DevRev connects to whatever systems are live today — and adapts as you cut over, add, or replace them. Your quoting standard holds regardless of future ERP decisions.

Consolidation doesn't fix CPQ

One ERP solves data fragmentation. It doesn't solve the approval bottleneck, the engineering validation queue, the revision cycles, or the lack of AI-driven intelligence. Those problems remain.

You don't need to wait for the ERP migration to finish. DevRev standardizes your quoting process in weeks — and maintains that standard regardless of future ERP decisions.

Built for configured products and complex services

This isn't a SaaS subscription quoting tool. DevRev is built for the kind of complexity you actually deal with.

🔌

Engineered products

Process automation, instrumentation, industrial equipment — where a "product" is really a configured system with hundreds of interdependent specifications.

🛠

Global part fragmentation

The same product exists as different part numbers with different specs and pricing across regions. Quoting requires knowing which source, which system, and which version of the data is correct for this deal.

🚚

Dynamic pricing environments

Where price depends on volume, geography, channel, contract vehicles, competitive dynamics, and market conditions that change daily.

CPQ isn't just a sales problem — it's the single process that touches every organizational silo simultaneously. Fix it, and you fix deal velocity, revenue accuracy, and customer experience all at once.

Let's map your quote-to-cash friction

Three questions that reveal where your CPQ process is actually breaking down.

1

How long from customer "yes" to a bookable order in your system?

2

What percentage of quotes require manual intervention outside your standard tool?

3

When non-standard pricing is needed, how many people touch it before it goes out the door?

4

How many back-end systems does a single quote need to pull from — and who's responsible for reconciling the differences?

Stop losing deals in the last mile.
Start closing them.

Your reps already convinced the buyer. Don't let a broken process give them time to change their mind.

Book a conversation