Case Study – IPC
CASE STUDY 02 · IPC CONNECTING OPPORTUNITIES
Optimizing Quote-to-Cash to Unlock Revenue Efficiency
How IPC Strengthened Pricing Governance and Accelerated Deal Velocity with a Salesforce CPQ Assessment
Overview
This project predates the packaged Revenue Leakage Audit now on this site, but it is built from the same model: a paid, scoped diagnostic of one revenue-leak area (quote-to-cash, now the largest of our eight modules) that priced the risk and ranked the fixes before IPC spent anything on a build. It is the same assessment-before-build approach every AI engagement starts with, applied to one leak site instead of all eight.
IPC operates in a highly complex sales environment, with enterprise deals, bundled offerings, and multiple pricing models across global markets.
As the business scaled, quoting and pricing processes became a constraint on growth — impacting both deal velocity and revenue control.
The goal was clear: Identify how to transform CPQ into a lever for revenue acceleration and margin protection.
The Challenge
IPC’s quote-to-cash process introduced friction at critical revenue stages:
- Complex product configurations slowed quoting
- Manual pricing decisions created inconsistency
- Discounting lacked governance and control
- Approval processes delayed deal progression
The impact:
- Slower time-to-quote → delayed revenue realization
- Inconsistent pricing → margin leakage
- Limited visibility → reduced confidence in deal quality
This wasn’t a tooling issue — it was a Revenue Operations inefficiency.
The Objective
Deliver a Salesforce CPQ assessment to:
- Streamline and standardize quoting processes
- Strengthen pricing and discount governance
- Reduce friction in the deal lifecycle
- Enable scalable, efficient revenue execution
The Solution: Revenue Operations-Focused CPQ Assessment
1. End-to-End Quote-to-Cash Analysis
- Mapped full quote-to-cash lifecycle
- Identified bottlenecks in pricing, approvals, and quoting
- Evaluated cross-functional dependencies (Sales, Finance, Ops)
2. CPQ Fit-Gap & Target Architecture
- Assessed current-state vs. Salesforce CPQ capabilities
- Identified gaps in automation and configuration logic
- Defined a scalable CPQ architecture aligned to revenue goals
3. Pricing & Discount Governance Framework
- Designed structured discount thresholds and approval tiers
- Introduced guardrails to protect margins
- Recommended rule-based pricing to ensure consistency
4. Deal Acceleration Opportunities
- Identified automation opportunities for faster quote generation
- Reduced manual touchpoints across the quoting process
- Introduced guided selling concepts to simplify complexity
5. Roadmap & Business Case
- Delivered a phased CPQ implementation roadmap
- Prioritized quick wins vs. long-term transformation
- Quantified revenue impact and operational improvements
Results
The assessment delivered clear, measurable value:
- 25–35% reduction in quote turnaround time (projected)
- Improved pricing consistency and discount control, reducing revenue leakage
More importantly: IPC gained a clear blueprint to transform CPQ into a revenue acceleration engine.
Business Impact
- Faster deal execution and reduced sales friction
- Stronger margin protection through pricing governance
- Improved alignment across Sales, Finance, and Operations
- Scalable quote-to-cash foundation for future growth
Why This Worked
This wasn’t approached as a CPQ feature review. It was a Revenue Operations strategy exercise:
- Focus on revenue outcomes, not system capabilities
- Alignment across business and technology
- Practical, executable recommendations
- Clear linkage between CPQ and revenue performance
Ready to see what this foundation makes possible?
The systems work above is what lets AI scoring and automation run on real data. Give us thirty minutes on a call and we will tell you where your own systems stand.