Exploring Machine Learning

Artificial Intelligence (AI) can be used to understand the business better. Machine Learning is a field of AI that enables business systems to learn patterns from operational data and make educated predictions or decisions.

With machine learning, you can understand the patterns in data and sell smarter. You can spend more time selling, increasing forecast accuracy, and improving relationships. You create and train a model to make predictions and identify patterns and trends to act on

SAP Sales Cloud Version 2 uses Intelligent Sales to take everyday sales data, then create and train machine learning models to identify patterns and trends to make sales predictions.

Intelligent Sales with Machine Learning in SAP Sales Cloud Version 2

Key Machine Learning capabilities in Sales Cloud Version 2 are:

This machine learning capability automatically translates incoming emails from the source language to the logon language, enabling recipients to comprehend and engage with the content in their natural language.

Key Capabilities

Automate translations from source language to logon language.

Business Benefit

• Language is not a factor in doing business.
• It speeds up processing and initial response times.

The NLP classification capability includes the 'sentiment' output field, which determines whether the vocabulary used in a survey is positive or negative and the degree of positivity or negativity. Sentiment detection works on emails and surveys.

Key Capabilities

• The NLP classification scenario includes the "sentiment" output field that determines if the vocabulary used in the survey/email is positive or negative and the degree of positivity or negativity.
• The sentiment value from surveys indicates the overall emotion. The magnitude of sentiment indicates how much emotional content is present

 Business Benefit

• The sales team can quickly identify if the feedback is happy or sad.
• Remedial actions can be taken for negative sentiment surveys and emails.

The system conducts a thorough analysis for the presence of profane words, promptly issuing warnings in cases where such language is detected to maintain a professional and respectful communication environment.

Key Capabilities

Checking emails for sensitive words.

Business Benefit

Ensuring professional interactions with prospects and customers.

Key Capabilities

Natural language understanding (NLU) is used to get actionable insights for appointments from note text using business text intelligence.

Business Benefit

The system can suggest appointments from notes in Leads and Opportunities.

Key Capabilities

This machine learning capability can propose products for upsell based on historical data for won opportunities.

Business Benefit

It provides a customer-specific predictive model that the sales team can use to make quick upselling offers to customers.

The Lead Intelligence machine learning capability uses the historical data for Leads to create Lead score for open Leads. The Lead score indicates the likelihood of conversion of Lead to Opportunity. Using Lead scoring, you can focus on the tailored list of prospects with the highest propensity to become customers.

In this video, you will learn about Lead intelligence

Key Capabilities

• Lead intelligence takes attributes from the historical Leads to create intelligent scores. The higher the score, the more likely the Lead will be converted to Opportunity.
• Lead score returned from the machine learning service ranges from 0 to 99. The scores are also color-coded, 0 to 50 is red, which is interpreted as less likely to win, 51 to 75 is yellow, which is interpreted as likely to win, 75 to 99 is green, which is interpreted as very likely to win.

Business Benefit

• The sales team can focus on Leads that are more likely to convert.
• Helps in prioritization and effective resource utilization for maximum business outcomes.

The Deal Intelligence machine learning capability takes historical data from existing Won/Lost Opportunities and uses it to train the machine learning model. As a result, you get a customer-specific predictive model that is applied to provide users with the scoring of Opportunities. The higher the score, the better the chance of winning the Opportunity.

In this video, you will learn about Deal intelligence.

Key Capabilities

• Helps to determine which deals can close, which won't, and which could go either way.
• Each opportunity gets a unique win score that can be used for sales pipeline management and to focus teams on the opportunities that are most likely to close.

Business Benefit

• Opportunity scoring helps your sales team prioritize their deals based on the winning probabilities.
• It helps focus on the right Opportunities and allows better management of pipeline/forecast.