Connecting Sales and Service with Microsoft Dynamics 365

The manufacturer was facing:

• ❌ Sales forecasting based purely on new deal pipeline, missing significant recurring order volume
• ❌ Customer service and sales teams working from disconnected systems
• ❌ No unified view of a customer's full relationship -- orders, support history, and account status scattered across tools
• ❌ Field service technicians dispatched with limited visibility into equipment history
• ❌ Manual reporting processes that took days to compile for leadership reviews

We designed and implemented a unified Dynamics 365 sales and service foundation:

📊 1. Unified Customer & Account View

• Connected Dynamics 365 Sales and Customer Service on a shared Dataverse foundation
• Built a single account view combining order history, support cases, and equipment records
• Gave account managers visibility into service issues before renewal conversations

📈 2. Recurring Revenue Forecasting

• Structured recurring order agreements separately from net-new pipeline
• Built combined forecasting reflecting both new deals and existing run-rate business
• Surfaced upcoming agreement renewal dates for proactive account management

🔧 3. Field Service Integration

• Connected Field Service scheduling to the unified customer and equipment data
• Gave technicians mobile access to equipment history before on-site visits
• Automated work order creation from qualifying support cases

📈 4. Reporting & Automation

• Built Power BI dashboards replacing manual weekly reporting compilation
• Automated case escalation rules based on SLA milestones
• Connected the ERP system for accurate order and inventory visibility within Dynamics

Within six months of implementation:

• 📊 Forecast Accuracy Improved by Accounting for Full Recurring Revenue
• ⏳ Weekly Reporting Time Cut from Days to Minutes
• 🔧 +26% Faster Field Service First-Time Fix Rate
• 🔄 Renewal Conversations Now Informed by Real Support History
• ✅ Single Unified Customer View Across Sales and Service

What Made the Difference

• Forecasting that finally reflected the company's real recurring revenue mix
• A shared Dataverse foundation instead of disconnected sales and service systems
• Field technicians arriving with real equipment context, not starting blind
• Automated reporting replacing days of manual compilation