Sales workflows in technology enterprises are often complex, involving multiple teams, case variations, and manual processes. Legacy processes can slow operations, increase costs, and obscure visibility into critical sales activities. Decisions was engaged to analyze the current sales workflow, benchmark performance, and recommend automation and process improvements to support strategic growth and more accurate forecasting.
Challenge
Prior to Decisions, the company faced several challenges:
- Fragmented and manually managed sales processes
- Limited visibility into case lifecycle, resource allocation, and operational costs
- High clerical overhead due to paper-intensive workflows
- Inconsistent handling of time-sensitive information critical to revenue and customer service
- Difficulty identifying process inefficiencies and opportunities for automation
Decisions applied a structured workflow discovery and analysis approach:
Differentiators
- Process Mining: Mapping, analysis, and scenario simulation identified inefficiencies and optimized workflow steps
- Flow Engine Differentiators: No-code design and real-time visibility allowed quick process documentation and scenario testing
- Platform-Level Attributes: Modular extensibility and secure permissions ensured scalable and compliant workflow analysis
- Decisions UX Builders: Reporting and dashboards allowed executives to visualize process inefficiencies and review recommendations effectively