Scaling B2B Sales Operations with Salesforce

The company was facing:

• ❌ A sales pipeline tracked across disconnected spreadsheets, with no shared visibility for leadership
• ❌ Quotes built manually in slide decks, taking days and prone to pricing errors
• ❌ No reliable forecast -- leadership was consistently surprised by quarter-end results
• ❌ Duplicate and inconsistent account records across the sales team
• ❌ No visibility into deal stage bottlenecks or rep performance

We designed and implemented a structured Sales Cloud foundation with CPQ:

🔒 1. Clean Core Data Model

• Rebuilt the Lead → Account → Contact → Opportunity structure with clear qualification criteria
• Implemented duplicate rules to prevent fragmented account records going forward
• Migrated and deduplicated existing spreadsheet-based pipeline data into Salesforce

📈 2. Forecasting & Pipeline Visibility

• Configured Opportunity stages with accurate probability weighting
• Built role-based dashboards giving leadership real-time pipeline and forecast visibility
• Set up stage-by-stage conversion reporting to surface where deals were actually stalling

💰 3. Salesforce CPQ Implementation

• Replaced manual slide-deck quoting with CPQ-generated, branded quote documents
• Built pricing rules matching the company's actual discount approval structure
• Configured approval processes so discounts above threshold routed automatically for sign-off

✅ 4. Automation & Assignment

• Automated lead assignment based on territory rules
• Built Flow-based reminders for stalled Opportunities
• Connected email (Outlook) so activity logging happened automatically, not manually

Within the first two quarters of adoption:

• 📈 +34% Faster Average Deal Velocity
• 💰 Quote Turnaround Cut from Days to Under 1 Hour
• 📊 Forecast Accuracy Improved to Within 8% of Actuals
• 🔑 Zero Duplicate Account Records Created Post-Launch
• ⏳ 65% Reduction in Manual Pipeline Admin Time

What Made the Difference

• Starting with a clean, disciplined data model instead of replicating old spreadsheet habits
• Pricing rules matching how the team actually approved discounts, not a generic template
• Stage-by-stage reporting that made bottlenecks visible for the first time
• Automation that removed manual admin work rather than adding new steps