MonkeyLearn is a text analysis platform that helps you identify and extract actionable data from a variety of raw texts, including emails, chats, webpages, papers, tweets, and more! You can use custom tags to categorize texts, such as sentiments or topics, and extract specific data, such as organizations or keywords.
SugarCRM is a comprehensive customer relationship management product, from sales and marketing to service and support. It is used by companies of all sizes, across all industries.SugarCRM Integrations
SugarCRM + Monkey LearnClassify Text in monkeylearn when New Lead is created in SugarCRM Read More...
SugarCRM + Monkey LearnExtract Text in monkeylearn when New Lead is created in SugarCRM Read More...
SugarCRM + Monkey LearnUpload training Data in monkeylearn when New Lead is created in SugarCRM Read More...
SugarCRM + Monkey LearnClassify Text in monkeylearn when New Contact is created in SugarCRM Read More...
SugarCRM + Monkey LearnExtract Text in monkeylearn when New Contact is created in SugarCRM Read More...
It's easy to connect Monkey Learn + SugarCRM without coding knowledge. Start creating your own business flow.
Triggers when you add a new case
Triggers when you add a new contact
Triggers when you add a new lead
Triggers when you add a new opportunity
Triggers when you add a new task
Triggers when you add a new user
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
Create a new case
MonkeyLearn is a machine learning platform that helps users automate tasks in their business by making sense of data. It offers a free plan to get started with, premium plans for more features and a SugarCRM add-on.
MonkeyLearn analyzes unstructured data to provide insights into it. It enables users to build predictive models and offers several tops to train the model. It has a Natural Language Processing component that can analyze text and extract key information from it. MonkeyLearn uses machine learning algorithms such as Regression, Random Forest, Decision Trees, and Support Vector Machines. It also has a sentiment analysis feature that identifies positive, negative or neutral words in text and provides a percentage score for each. Machine learning is used to create models and classify data. The scores and classifications can be used in business applications such as targeted email campaigns, for example.
SugarCRM is a customer relationship management (CRM. top that enables businesses to manage their customers’ data in one place. It allows users to build relationships with clients and prospects, track activities and time spent on projects, create workflows and much more. SugarCRM is used by thousands of companies globally including Salesforce, Cisco, Disney, Nike and Adobe.
Integration of MonkeyLearn and SugarCRM enables users to make sense of all the data in their CRM and understand what drives their business in one place. This integration helps users in automating their workflow and make informed decisions faster. They can use the scores and classifications provided by MonkeyLearn to create targeted email campaigns, understand the purchasing behavior of customers, etc.
MonkeyLearn’s free plan allows users to create 10 models per month. Each model can have up to 2 million rows of training data. A custom token needs to be created for each new model. To integrate MonkeyLearn with SugarCRM, users need to install the SugarCRM Add-On using the ‘Add-ons Manager’ button on the ‘MonkeyLearn’ page in your account. Once installed, you can find it under ‘Business Tops’ on the left navigation bar.
MonkeyLearn generates an API Token every time a new model is created. You can copy this token on the relevant field on the SugarCRM Add-On on the MonkeyLearn side. Once done, you are ready to use it with your SugarCRM account.
MonkeyLearn enables users to automate tasks using machine learning algorithms. They can use its Natural Language Processing capabilities to extract key information from text data in their CRM account. For example, they can use the Sentiment Analysis feature to identify positive, negative or neutral words in text data in order to classify customer feedback based on sentiment analysis. Businesses can use the classifications to create targeted email campaigns for customers who are expressing positive opinions about them or targeting customers who are expressing negative opinions about them for improving their service quality, for example.
The scores generated by MonkeyLearn can be used in SugarCRM to send targeted emails based on classification or generate reports based on these scores. For example, you could use the scores generated by MonkeyLearn’s keyword extraction feature to create reports based on common questions asked by customers. These reports can then be sent to customer support team members when they login into their dashboard everyday so they know what kind of questions they are likely to receive today. They can also use these reports to understand how many customers are asking questions about certain topics every week so they know which topics need more resources allocated to them in order to improve customer satisfaction levels.
The process to integrate Monkey Learn and SugarCRM may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.