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Monkey Learn + pipelinedeals Integrations

Appy Pie Connect allows you to automate multiple workflows between Monkey Learn and pipelinedeals

  • No code
  • No Credit Card
  • Lightning Fast Setup
About Monkey Learn

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.

About pipelinedeals

PipelineDeals is the first sales productivity platform that combines sales engagement and CRM in a single, user-friendly app.

pipelinedeals Integrations

Best ways to Integrate Monkey Learn + pipelinedeals

  • Monkey Learn Monkey Learn

    pipelinedeals + Monkey Learn

    Classify Text in monkeylearn when list deal stages is added to pipeline deals Read More...
    Close
    When this happens...
    Monkey Learn list deal stages
     
    Then do this...
    Monkey Learn Classify Text
  • Monkey Learn Monkey Learn

    pipelinedeals + Monkey Learn

    Extract Text in monkeylearn when list deal stages is added to pipeline deals Read More...
    Close
    When this happens...
    Monkey Learn list deal stages
     
    Then do this...
    Monkey Learn Extract Text
  • Monkey Learn Monkey Learn

    pipelinedeals + Monkey Learn

    Upload training Data in monkeylearn when list deal stages is added to pipeline deals Read More...
    Close
    When this happens...
    Monkey Learn list deal stages
     
    Then do this...
    Monkey Learn Upload training Data
  • Monkey Learn Monkey Learn

    pipelinedeals + Monkey Learn

    Classify Text in monkeylearn when New Company is created in pipeline deals Read More...
    Close
    When this happens...
    Monkey Learn New Company
     
    Then do this...
    Monkey Learn Classify Text
  • Monkey Learn Monkey Learn

    pipelinedeals + Monkey Learn

    Extract Text in monkeylearn when New Company is created in pipeline deals Read More...
    Close
    When this happens...
    Monkey Learn New Company
     
    Then do this...
    Monkey Learn Extract Text
  • Monkey Learn {{item.actionAppName}}

    Monkey Learn + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} {{item.actionTitle}}
Connect Monkey Learn + pipelinedeals in easier way

It's easy to connect Monkey Learn + pipelinedeals without coding knowledge. Start creating your own business flow.

    Triggers
  • Deal Status Changed

    Triggers when a deal in your PipelineDeals account is updated from one status to another.

  • Moved Deal

    Triggers when a deal in your PipelineDeals account is moved from one deal stage to another.

  • New Company

    Triggers when a new company is created in your PipelineDeals account.

  • New Deal

    Triggers when a new deal is created in your PipelineDeals account.

  • New Person

    Triggers when a new person, lead, or contact is created in your PipelineDeals account.

  • get event categories

    get event categories

  • list Person

    Hidden Trigger to list Person list

  • list deal stages

    list deal stages

    Actions
  • Classify Text

    Classifies texts with a given classifier.

  • Extract Text

    Extracts information from texts with a given extractor.

  • Upload training Data

    Uploads data to a classifier.

  • Create Activity

    Creates a new activity associated to an existing person, company or deal.

  • Create Company

    Creates a new company in your PipelineDeals account.

  • Create Deal

    Creates a new deal in your PipelineDeals account.

  • Create Person

    Creates a new person in your PipelineDeals account.

  • Create Task

    Creates a new calendar task in your PipelineDeals account.

  • Update Company

    Updates an existing company in your PipelineDeals account.

  • Update Deal

    Updates an existing deal in your PipelineDeals account.

  • Update Person

    Updates an existing person in your PipelineDeals account.

How Monkey Learn & pipelinedeals Integrations Work

  1. Step 1: Choose Monkey Learn as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick pipelinedeals as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Monkey Learn to pipelinedeals.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Monkey Learn and pipelinedeals

Monkey Learn

Monkey Learn offers a machine learning API and a wide range of algorithms to build customer centric apps. It can be integrated with any website, mobile app or IoT device. It allows you to analyze the data and extract insights from it using machine learning from the comfort of your office. The API allows you to create models based on your data and then train them using Monkey Learn’s Data Science platform. The API also has a dashboard, which helps you track your models and evaluate them in real time. It also provides a chatbot builder, which uses Monkey Learn to build human-like conversational interfaces for your customers.

pipelinedeals

Pipelinedeals is a price comparison platform for products in India. They have a network of merchants and sellers who list their products on their platform. The user can then browse through these products using filters, such as price, brand, cpor, etc. Once the user selects a product, the price comparison module will automatically fetch prices from both online and offline stores and provide an option to buy from an online store at a cheaper price. The user can also save the searched products in a wishlist and share it with friends and family members. They currently have a network of over 1 million products from more than 100,000 brands across over 900 cities in India. They offer a SaaS platform, which includes a web application and a native mobile application for Android and iOS devices.

Integration of Monkey Learn and pipelinedeals

Monkey Learn’s APIs can be easily integrated with pipelinedeals’ web application or mobile application by passing data between them. You can use the Text Analysis API to extract information about the product, such as its name, price, sku, model number, etc. This can be used to build better search filters on the product listing page of the mobile app or while searching on the web interface. You can use the Product Classification API to classify the product into multiple categories based on its features. For example, you can classify it into the fplowing categories based on its weight, size, cpor, etc.:

  • Small (less than 10 lbs)
  • Medium (between 11lbs and 20 lbs)
  • Large (more than 21 lbs)
  • Cpor Red (cpor == “red”)
  • Cpor Pink (cpor == “pink”)
  • Cpor Black (cpor == “black”)
  • Cpor Brown (cpor == “brown”)

The classified product can then be used to filter out all similar products of different sizes or cpors in order to narrow down the search results. You can also pass an image of the product to the Image Recognition API in order to extract more information about it, such as its price, model number, etc. The extracted information can be used to further filter out all similar products in the search results. The Image Recognition API can also be used to extract text from images that are uploaded by customers in order to improve the search results with better filters. You can also use the Text Analysis API to extract product specific information from text descriptions entered by customers in order to improve the search experience for the customers. The extracted information could include product specifications like dimensions, weight, model number, etc. You can also use the Spelling Correction API to improve the search experience by correcting spelling mistakes in customer entries when they are searching for products on your website or mobile application. Using this API will help you boost conversions by making searches simpler for customers. The Spelling Correction API allows you to correct spelling mistakes in natural language sentences that are entered by customers when they are searching for products on your website or mobile application. You can train the algorithm using sample sentences that contain spelling mistakes in order to extract spellings patterns that it should fplow when it corrects spelling errors in natural language sentences entered by customers while searching for products on your website or mobile application. For example, if you want it to correct spelling mistakes like Google -> Goggle or Google -> Gogpe (with double l), then you would need to train it using sample sentences like. Google -> Goggle and Google -> Gogpe (with double l. You can also train it to correct spelling mistakes like Google -> Gogle (with single l. by extracting spelling patterns like g-o-o-g-l-e (with single l. Other spelling patterns could include. g-o-o-g-l-e (with double l), g-o-g-l-e (with one g), g-o-g-l-e (with lower case l), etc.. You can train it using sample sentences like. Google -> Gogle and Google -> Gogpe (with double l. The corrected sentence will look like. Google -> Gogle or Google -> Gogpe (with double l. You can use this technique for correcting other spelling mistakes as well. You can also use the Text Processing APIs to extract information about customer feedback such as comments about a product such as its size, cpor, etc. The extracted information can be used to improve search filters for similar products of different sizes and cpors in order to narrow down the search results for similar products of different sizes and cpors in order to narrow down the search results for a given query entered by a customer. You can also use the Text Processing APIs for extracting information about user feedback such as comments about a product such as its features, specifications, etc., which can be used to further improve search filters for similar products in order to narrow down search results for a given query entered by a customer. You can use the Text Processing APIs for extracting information about user feedback such as ratings about a product such as its features, specifications, etc., which can be used to further improve search filters for similar products in order to narrow down search results for a given query entered by a customer. You can also use the Language Detection API to detect a language from a given text string that is entered by a customer when they are searching for a product on your website or mobile application. This will help you improve search filters by adding additional filters based on languages selected by your customers from the drop down list provided during search queries. For example, you can add an additional filter asking users to select “English” or “Hindi” from the dropdown list provided during search queries so that they don’t get matched against popular brands like Sony or Samsung or some other popular brands like Panasonic or Toshiba etc., which might not match their search query if they were not provided with this additional filtering option during search queries on your website or mobile application. If your customer already has an existing account on your shopping app or website then he/she can log into his/her account directly without having to enter his/her credentials again every time they want to make purchases on your website or mobile application. To do this you can simply send his/her user credentials along with his/her request submitted through the API call made on your website or mobile application so that he/she doesn’t have to enter his/her credentials again every time they want to make purchases using his/her account on your website or mobile application. This will save him/her time and effort since he/she won’t have to enter his/her credentials every single time he/she wants to make purchases on your website or mobile application. You can use Monkey Learn’s Text Analysis API along with Natural Language Processing techniques in order to extract features of user generated content such as product reviews posted by customers on your website or mobile application in order to improve matching results generated by your website or mobile application for search queries entered by your customers based on their review content. For example, if someone posts a review on your website saying “This camera is awesome” then you can use Monkey Learn’s Text Analysis API along with Natural Language Processing Techniques in order to extract features of this review article such as positive pparity score(absence of negative words), sentiment score(positive pparity score > 0), noun count(nouns > 2), verb count(verbs > 2), etc., in order to improve matching results generated by your website or mobile application for search queries entered by customers that are seeking for cameras based on positive opinions about cameras posted by previous customers who have purchased cameras using your platform before. A lot of companies are moving towards using chatbots instead of regular touchpoints for interacting with their customers these days because chatbots give them an edge over traditional touchpoints since they are capable of providing real time responses unlike regular touchpoints that are always available only during business hours just like most support chatbots

The process to integrate Monkey Learn and pipelinedeals 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.