Automotive Parts Supplier Cuts Quote Time From 4 Hours to 15 Minutes with Salesforce CPQ
A Michigan-based automotive parts manufacturer was losing deals due to slow quote turnaround. Manual CPQ processes meant sales reps spent 4+ hours generating complex quotes with volume discounts and custom configurations.
Company
Industry: Automotive Parts Manufacturing
Location: Detroit Metro Area, Michigan
Size: 150 employees, $45M annual revenue
Challenge: The company manufactures precision-machined parts for automotive OEMs and aftermarket distributors. Their sales team was manually creating quotes in Excel spreadsheets, resulting in:
- 4-6 hours per complex quote
- 15-20% error rate in pricing
- Lost deals due to slow response time
- Inability to track discount approvals


Challenge
The biggest pain points were:
- Manual Calculations: Volume discounts, material surcharges, and shipping costs all calculated by hand
- Approval Bottlenecks: Discounts over 15% required VP approval via email, causing 24-48 hour delays
- Version Control: Multiple quote versions sent to same customer with conflicting pricing
- No Product Rules: Sales reps would quote incompatible product combinations
Solutions
Cloudy Coders implemented Salesforce CPQ with:
- Product Rules: Automated validation prevents incompatible product combinations
- Price Books: Customer-specific pricing, volume discounts, and contract pricing automated
- Approval Workflows: Automated routing to manager/VP based on discount level
- Quote Templates: Professional PDF quotes with company branding auto-generated
- Integration: Connected to their ERP (Epicor) for real-time inventory and pricing
Implementation took 6 weeks with 2 weeks of user training.

Results — by the numbers
After 90 days:
- Quote generation time reduced from 4 hours to 15 minutes (70% faster)
- Pricing errors eliminated (was 15-20% error rate)
- Approval cycle reduced from 48 hours to 4 hours
- Sales team closed 40% more deals due to faster response
- Average deal size increased 18% (better upsell visibility)
- Customer satisfaction scores improved 35%
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