Lead Scoring AI on node

Our bespoke CRM will introduce an automated evaluation feature designed to interpret various text-based inputs stored in the database. The system will analyze unstructured data such as notes and related written interactions to identify meaningful signals. These signals will be processed with a scoring mechanism that reflects sentiment, relevance, and engagement. By leveraging these insights, the CRM can highlight which records require higher attention and which may indicate reduced potential. The scoring will be dynamic, adapting as new text inputs are added, ensuring that the evaluation always reflects the most recent context. This creates actionable intelligence for the team.