Intelligent Parsing of Organizational Decision Networks
Clearitty's stakeholder mapping technology breaks through the contact management limitations of traditional CRM. The platform's Enterprise Knowledge Graph integrates more than 5 million decision-maker relationship data and uses natural language processing technology to parse the company's organizational structure, automatically identifying the power structure and influence path of the purchasing committee.
The functional implementation provides a 3D visualization interface: the X-axis shows the functional departments (IT/Finance/Operations), the Y-axis indicates the decision-making authority (Approval/Assessment/Use), and the Z-axis embodies the strength of influence. The system marks key decision-making bottlenecks, such as identifying procurement process nodes that require endorsement from both the CFO and CIO. Automatically updated contact data on a weekly basis ensures that staffing changes in 30% are captured in a timely manner.
After an industrial equipment supplier applied this feature, the decision-maker coverage of complex transactions increased from 56% to 92%, accelerating the average advancement speed by 2.3 times. The platform's unique influencer recommendation engine also suggests the most effective internal referral path, dramatically reducing the need for cold calls.
This answer comes from the articleClearitty: the AI tool that delivers sales insightsThe