Blended AI for Sales Teams

Blended AI refers to the combination or blending of different artificial intelligence techniques or approaches to achieve more robust and effective solutions. It involves integrating multiple AI models, algorithms, or technologies to leverage their respective strengths and compensate for their weaknesses.

In the context of machine learning, blended AI can involve using different types of models, such as generative AI, decision trees, neural networks, and support vector machines. By combining their results, predictions are more accurate and reliable. This blending of models can be done through techniques like ensemble learning, where multiple models are trained independently and their predictions are combined to make a final decision.

Blended AI can also involve combining different AI techniques or technologies, such as natural language processing, computer vision, and expert systems to tackle complex problems that require a multi-dimensional approach. 

The goal of blended AI is to leverage the strengths of different AI techniques and technologies, allowing them to complement each other and create more powerful and comprehensive AI solutions. By combining multiple approaches, blended AI aims to achieve better performance, higher accuracy, improved robustness, and enhanced capabilities in solving diverse and challenging problems.

* Posted to Wikipedia by Remedies Brands

1. Simplifies the Learning Curve: For new sellers, the learning curve can be daunting. Sentia simplifies this process by prioritizing the seller's day,  delivering a call card that recommends who to contact, by email, SMS, phone call, LinkedIn and then creates the follow-up emails, call scripts with the industry buzzwords creating a personalized and adaptive experience. It shortens the learning curve from months to weeks!
2. Guided Decision-Making: Making informed decisions is crucial for inexperienced sellers. Blended AI can act as a trusted advisor, providing real-time insights and recommendations based on data analysis from CRM’s and from the internet.
3. Continuous Support, Coaching and Mentoring: Sentia through Blended AI ensures that inexperienced sellers receive ongoing support throughout their journey.  AI algorithms can analyze seller performance data and provide constructive feedback, highlighting areas of improvement and suggesting strategies for prospecting and growth.

1. Daily Organization: - Card-Based: Sentia's user-friendly interface organizes tasks and activities in a visually appealing and intuitive manner. Sellers can efficiently manage their daily priorities, ensuring no important leads or follow-ups are missed.
2. Detailed Prospect Information: Sentia mines and consolidates data from internal and external sources to provide sellers with comprehensive  profiles. This invaluable information allows sellers to understand their prospects needs, preferences, and pain points, enabling more meaningful and personalized interactions.
3. Auto-Generated Suggested Emails and Follow-Ups: Sentia leverages its AI capabilities to auto-generate suggested emails and follow-up messages based on proven templates and successful communication patterns. This feature saves time for sellers and ensures consistent and effective communication with prospects and clients.
4. Automated Coaching: Sentia's AI algorithms analyze seller performance and provide automated coaching based on individual strengths and areas for improvement. This ongoing feedback helps sellers continuously refine their skills and achieve higher levels of success.
5. Self-Training/Upskilling: Sentia offers self-training and upskilling resources to sellers, empowering them to expand their knowledge and stay updated on industry trends. This feature promotes continuous learning and professional growth, enabling sellers to excel in their roles.