Case Studies
Learn from specific customer examples how companies benefit from working with Implisense. The case studies show how our AI-based solutions help to optimize sales processes, improve data quality and open up new business potential.
Identify new SAP project opportunities in the customer portfolio on a weekly basis
For a large German enterprise, Implisense CRI enables them to increase customer value by automatically generating potential SAP projects.
Daily AI-supported search for new SAP projects
Automatic assignment to existing customers in CRM
Evaluation by AI-based pre-sales agents with deep product know-how
Recommendations on possible SAP project approaches directly in the CRM to the account managers
1000+ startups in view for investment opportunities with Implisense CRI
Implisense CRI enables a leading German seed investor to receive continuous signals about the business development of relevant startups and thus increase the efficiency of business initiation.
Automated capture and consolidation of business development signals
AI-supported analysis and prioritization of relevant startups directly in CRM
Alerts for the Active Sourcing Team about financing rounds, accelerator participations, and team expansions
Segment 100,000+ members more accurately with Implisense CRI and digital twins
Implisense CRI enables an advocacy organization to use AI-supported data collection and automated segmentation to precisely identify the needs of its members and develop offers tailored to them.
Automated data collection from company websites, press releases, and social media
Automatic allocation of data to members in CRM
Segmentation by simulating digital twins
Optimized POS market research of a service provider with Implisense CRI
Find out how the service provider POSpulse uses Implisense CRI to monitor all key accounts for changes such as new product developments, listings in retail or FMCG trends and increases the efficiency of data analysis through a comprehensive weekly news analysis directly in Hubspot.
Automated collection and consolidation of POS market research signals
AI-based analysis and prioritization of relevant signals about POS events
Alerts for important signal events, such as sales changes or promotions