Automated Identification and Evaluation of Business Opportunity Prospects

• Main Authors: KUDUMULA NIYANTH, MAKANAWALA PRERNA, SHIROOR KEDAR, KALLA PRAVEEN, SUN KE, MITRA ABHIJIT, POTDAR SUSHANT, YIP BRIAN, SOOD KARAN
• Format: Patent
• Language: English
• Published: 23.04.2015
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

Embodiments identify and evaluate business opportunity prospects in an automated fashion. An engine receives one or more inputs used to identify business opportunities. These input(s) can comprise recent events gathered from external sources, for example feeds from news websites, and/or publicly-available business information (e.g. compiled by third parties). Other inputs can comprise information from internal sources, such as Enterprise Resource Planning (ERM) and/or Customer Relationship Management (CRM) applications. Still other inputs can comprise personalized user preferences, for example an industry and/or territory assigned to a particular user. From these input(s), the engine automatically generates a business lead, together with a score reflecting a strength of that lead. To this existing lead information (e.g. score, lead name, lead contact information, etc.), a user can manually add further information, for example monetary value and/or an closing date, in order to create a deal pipeline for visualization.