Salesforce’s Einstein artificial intelligence tool , launched in 2016, is one of the CRM platform ‘s standout features . It integrates machine learning technologies and language processing models to automate the company’s interactions with customers.
Salesforce Einstein is based on an advanced customer database available in the CRM. By analyzing this information, some of the most notable applications of Einstein’s artificial intelligence are:
Salesforce Einstein
writing personalized sales emails,
- creating lead scoring itineraries,
- Next Best Action (NBA) assistant that provides individual recommendations on how to best proceed with contact with each prospect,
- Shopping assistant bots that engage in real-time conversations with qualified prospects.
Ultimately, Salesforce Einstein is an artificial intelligence tool that goes beyond just creating sales content. It also uses machine learning to help salespeople make the best decisions.
The salesforce einstein module is currently. Priced starting at $50 per user per month, which. Must be paid as an annual subscription.This fee is in addition to the price of the Salesforce Cloud service, which provides the basic interface for integrating Einstein.
HubSpot Content Assistant
- content creation for emails, social media and landing pages
- Generation of automatic responses to customer service queries, based on natural language processing
- Sending personalized emails based on data such as purchase history
Meetz AI
Meetz AI is a sales lead generation tool that is currently only available in English. It is based on a virtual assistant —called Laura— that automates the process of converting potential clients from the first contact with them.
Laura maintains an email or chat conversation with prospects, scheduling appointments and providing product information autonomously using natural language (in English). It is a very intuitive software that is quick to learn.
Additionally, Meetz tracks prospects’ activity on LinkedIn and creates personalized follow-up emails based on their preferences. Meetz’s chinese overseas europe database basic plan is priced at $29 per month with a one-year commitment.
Business management applications that use artificial intelligence
Microsoft Dynamics 365
Microsoft Dynamics 365 is a cloud-based enterprise resource planning (ERP) software . With this platform, you can centralize the management of sales, marketing, finance, supply chain, and human resources. It also offers advanced data analysis to facilitate strategic decision-making.
Copilot applies AI to all areas managed by the software. For example:
- Automatically compose sales emails that take into account CRM data to create optimized content for each prospect.
- Create marketing content and help define customer segments.
- Helps interpret customer data by translating report numbers into natural language.
- Prepare for client meetings and anticipate possible responses with real-time reports that take into account the client’s situation, potential issues that may have arisen, etc.
- Manage the supply chain by predicting possible incidents and their impact on the company.
Microsoft Dynamics 365 has different pricing depending on the modules purchased, which are always paid per user per month. The Copilot artificial intelligence module is included in all sales plans, available from €60.80 per user per month.
If you use other Microsoft Dynamics 365 plans, you must purchase Copilot separately for €37.40/user/month, which is added to the cost of the license you have purchased.
Oracle
Oracle is an advanced ERP software for large alan ovenden director of operations and it organizations. It includes a wide range of tools such as financial management, analytics, project management, risk management, etc.
Oracle stands out for its advanced use of artificial intelligence in financial planning. Two specific examples of AI applications from this manufacturer are:
- The connected planning tool , which be numbers predicts the impact of changes on the entire organization.
- The autonomous convergent database , which centralizes all the data managed by the company in different formats and optimizes it through machine learning to identify synergies or possibilities for improvement.
