Intelli Deal
Designed and developed an internal app enabling Pricing Specialists to make data-driven decisions and increase deal profitability using AI.
Pricing professionals faced major challenges in making data-driven decisions due to scattered historical data, reliance on manual tracking, and fragmented systems. This led to inefficiency, repeated approvals, and slower deal cycles, resulting in inconsistent pricing strategies and declining revenue per deal. A unified, intelligent approach was needed to streamline analysis, ensure accuracy, and enhance profitability.
The IDE Rules Engine provides contextual, task-specific guidance to support rule creation. In v1, it enables users to refine and optimize existing rule patterns, helping build more effective rules that drive stronger, data-backed outcomes and improved decision performance.
The IDE Rules Engine provides contextual, task-specific guidance to support rule creation. In v1, it enables users to refine and optimize existing rule patterns, helping build more effective rules that drive stronger, data-backed outcomes and improved decision performance.
AI-powered predictions suggest metrics using historical deals, SFDC market data, client history, and product configurations. Built with transparency, the system clearly explains how recommendations are derived, enabling users to confidently accept suggested pricing or override it based on informed judgment.
Within Intelligent Deal Engine (IDE), transparency enables users to see the exact metrics and inputs the model uses to surface historical data and evaluate deals, providing clear visibility into how scoring decisions, from Grade A to Grade F are determined.
Before deep-diving, users see key performance indicators—revenue, margin, discount, and win probability. An interactive area graph benchmarks current deals against comparable, top-revenue, and won deals. AI-curated comparisons ensure objective evaluation, enabling faster, smarter, and more defensible pricing decisions.
Improved pricing accuracy, streamlined workflows, and stronger user trust led to smarter, faster, and more consistent decisions.
75%
CSAT Score
150+
Million Dollars Revenue
1/3
Every Deal Won
“
Somnath was a dependable and thoughtful contributor to the project. He was proactive, collaborative, and took full ownership of his tasks. I saw steady growth in his work throughout the time we worked together.
Shalaka Haldankar
Senior AI Product Designer @ Dell Technologies
