With in-depth learning analysis and automatic ingestion of the relationship between each contact in the mailbox, OKKI will maintain real-time monitoring and analysis of mail content, and complete the establishment and update of customer files, no matter how complex the relationship between mail content, how diverse the types and how overlapping the layers.
Through image recognition and document reverse transcription technology, the transaction documents in the email are analyzed, and the information of transaction time, target, opponent, and rules are obtained. The transaction scene is restored and perspective. Static documents are transformed into editable data to enrich and improve the transaction data in the system.
Based on natural language processing (NLP) analysis of sales activity data, through the analysis of the e-mail content to extract key information, such as buyer sentiment, intention propensity, behavioral characterization, etc., to set or update sales opportunities, and automatically promote sales projects.