Applying intelligent insights to business challenges is one of the best ways a team can start using AI in their projects. Salesforce Einstein makes setting up these smart recommendations easy—teams can even add additional AI tools like intelligent market monitors directly into CRM workspaces.
What's inside this article:
- AI Boosts Productivity and Discovers Insights
- Sales Insights Need Machine Learning
- Descriptive Analytics Is Based on Historical Data
- Identify Significant Patterns and Trends
- AI-Powered Assistance Right Where It's Needed
Salesforce Brings AI to Everyone
Salesforce is known for its comprehensive CRM products and services. It's a business that has seen exponential growth and a cult-like following. Many customers agree that it lives up to its promises and delivers an unmatched experience. This includes its range of Einstein features that bring AI to everyone in a way that is both thorough and easy to use.
Einstein Is for Any Business
Salesforce Einstein introduces advanced intelligent technologies to any business, regardless of size or industry. Beyond insights powered by machine learning, it also uses natural language processing and computer vision to ensure that teams have access to the most comprehensive AI tools currently available. Einstein allows users to maximize the value of CRM information and other external data sources so that no opportunity is wasted or lost.
AI Boosts Productivity and Discovers Insights
The kinds of insights offered by Salesforce can be fully realized in Einstein Discovery. This is a feature that can boost productivity and discover relevant patterns in complex data. It tracks and learns from CRM and external data to find simple AI insights and recommendations to difficult business challenges. These are smart explanations freely available to managers and salespeople without the extra addition of a data scientist on the team.
Einstein Prediction Builder Unlocks Personalized Insights
Einstein Prediction Builder is another feature available to Salesforce customers. It can help teams predict business outcomes, like which clients are likely to renew or which invoices may not be paid on time. Models like these can be custom-built without hours of coding and can start delivering meaningful sales insights as soon as they're set up. This is the ease with which Salesforce users can set up custom tools to unlock personalized insights.
Recommendations Should Be Data-Driven
AI is best used when it's applied to business challenges that individual teams could not solve by themselves. With Einstein Next Best Action, sales teams can learn from data-driven recommendations, like lead scoring rankings based on past interactions with prospects. These insights appear directly in the sales team's workspace and salespeople can take action without ever leaving Salesforce.