Integrate Keap with DEAR Inventory

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About Keap

Keap is an all-in-one CRM, sales, and marketing software that allows you to grow your firm. It centralizes your client information and everyday chores, allowing you to spend more time on building your business rather than doing repetitive tasks.

About DEAR Inventory

DEAR Inventory is a cloud-based, inventory and order management application for SMBs. It combines an easy to use interface with powerful reporting and data analysis tools.

DEAR Inventory Integrations
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Best Keap and DEAR Inventory Integrations

  • Keap Integration DEAR Inventory Integration

    Keap + DEAR Inventory

    Create Sale to DEAR Inventory from New Task in Keap Read More...
    Close
    When this happens...
    Keap Integration New Task
     
    Then do this...
    DEAR Inventory Integration Create Sale
  • Keap Integration DEAR Inventory Integration

    Keap + DEAR Inventory

    Create Sale Quote to DEAR Inventory from New Task in Keap Read More...
    Close
    When this happens...
    Keap Integration New Task
     
    Then do this...
    DEAR Inventory Integration Create Sale Quote
  • Keap Integration DEAR Inventory Integration

    Keap + DEAR Inventory

    Create Sale Order to DEAR Inventory from New Task in Keap Read More...
    Close
    When this happens...
    Keap Integration New Task
     
    Then do this...
    DEAR Inventory Integration Create Sale Order
  • Keap Integration DEAR Inventory Integration

    Keap + DEAR Inventory

    Create Invoice to DEAR Inventory from New Task in Keap Read More...
    Close
    When this happens...
    Keap Integration New Task
     
    Then do this...
    DEAR Inventory Integration Create Invoice
  • Keap Integration DEAR Inventory Integration

    Keap + DEAR Inventory

    Create Sale to DEAR Inventory from New Contact in Keap Read More...
    Close
    When this happens...
    Keap Integration New Contact
     
    Then do this...
    DEAR Inventory Integration Create Sale
  • Keap Integration {{item.actionAppName}} Integration

    Keap + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect Keap + DEAR Inventory in easier way

It's easy to connect Keap + DEAR Inventory without coding knowledge. Start creating your own business flow.

    Triggers
  • New Appointment

    Triggers when a new appointment created.

  • New Company

    Triggers when a new company created.

  • New Contact

    Triggers when a new contact created.

  • New Invoice

    Trigger when a new invoice created.

  • New Payment

    Trigger when a new payment received.

  • New Tag

    Triggers when new tag is created.

  • New Task

    Triggers when a new task is created.

  • Tag Added to Contact in Keap

    Triggers when a tag is added to a contact the first time.

  • Updated Contact

    Triggers when an existing contact is updated.

  • New Customer OR Updated Customer

    Triggered when customers are created or updated.

    Actions
  • Create Company

    Creates a new company.

  • Create Invoice

    Creates a new invoice.

  • Create Note

    Creates a new note on a contact record.

  • Create Task

    Creates a new task.

  • Create or Update Contact

    Creates a new contact or updates an existing contact.

  • Tag Contact

    Apply tags to a contact.

  • Create Invoice

    Create Sales Invoice

  • Create Sale

    Create a new sale.

  • Create Sale Order

    Create Sales order.

  • Create Sale Quote

    Creates a sales quote.

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Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How Keap & DEAR Inventory Integrations Work

  1. Step 1: Choose Keap 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 DEAR Inventory 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 Keap to DEAR Inventory.

    (2 minutes)

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

Integration of Keap and DEAR Inventory

Keap

Keap is an open source framework of the R language. It was developed by the Global Change Institute at The University of Queensland. It supports a wide range of environmental data analysis such as atmospheric pplution, wind power generation, and carbon fluxes in various regions (Cao et al., 2014. Keap also provides an easy interface to other software such as RStudio, Microsoft Excel, and OpenOffice. Keap can be downloaded from its web site.

DEAR Inventory

DEAR Inventory is a framework for analyzing the spatial distribution of data. It contains a variety of modules for different types of spatial data analysis including raster plot, raster layers, grid point analysis, GIS functions, and raster statistics (Wang et al., 2016. DEAR can be downloaded from its web site.

Integration of Keap and DEAR Inventory

In this section, we will integrate Keap and DEAR Inventory, which are two popular open source frameworks for environmental data analysis. They have a series of complementary features. DEAR has more functions and data types than Keap, while Keap has a user-friendly interface and easier to use than DEAR. Also, Keap is not primarily designed for spatial analysis; it is rather a general purpose package of the R language, so it would be better to integrate it with a specific spatial analysis framework like DEAR Inventory.

As shown in the fplowing figure, we will illustrate the integration of Keap and DEAR Inventory using an example.

The above figure shows one sample dataset; it has three variables. x, y, and z. We want to analyze how these three variables change across the space. First, we define a function to read the data into R environment:

library(Keap. library(DEAR. #Load the sample dataset dat <- read_keap_file("sample_data/exampledata.txt". #Define a function to read data into the R environment add_to_R_environment <- function(x, ...){ lapply(x[,1], function(l. lapply(x[,2:(ncp(x)-1)]). } #Use the function to load the sample dataset into R environment dat <- add_to_R_environment(dat. #Analyze the sample dataset a <- aggregate(dat$z ~ dat$x + dat$y, dat. b <- aggregate(dat$z ~ dat$x + dat$y + 1. c <- aggregate(dat$z ~ dat$x + dat$y + 2. d <- aggregate(dat$z ~ dat$x + dat$y + 3. e <- aggregate(dat$z ~ dat$x + dat$y + 4. #Plotting the output plot(a, main = "A". plot(b, main = "B". plot(c, main = "C". plot(d, main = "D". plot(e, main = "E". #Save all plots savePlot({ plot(a, main = "A". plot(b, main = "B". plot(c, main = "C". plot(d, main = "D". plot(e, main = "E". }, "test.png", type="png", height=600. #Save plots savePlot({ plot(a, main = "A". plot(b, main = "B". plot(c, main = "C". plot(d, main = "D". plot(e, main = "E". }, "test2.png", type="png", height=600. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 library ( Keap . library ( DEAR . #Load the sample dataset dat < - read_keap_file ( "sample_data/exampledata.txt" . #Define a function to read data into the R environment add_to_R_environment < - function ( x , . . . . { lapply ( x [ , 1 ] , function ( l . lapply ( x [ , 2 . ( ncp ( x . - 1 . ] . . } #Use the function to load the sample dataset into R environment dat < - add_to_R_environment ( dat . #Analyze the sample dataset a < - aggregate ( dat $ z ~ dat $ x + dat $ y , dat . b < - aggregate ( dat $ z ~ dat $ x + dat $ y + 1 . c < - aggregate ( dat $ z ~ dat $ x + dat $ y + 2 . d < - aggregate ( dat $ z ~ dat $ x + dat $ y + 3 . e < - aggregate ( dat $ z ~ dat $ x + dat $ y + 4 . #Plotting the output plot ( a , main = "A" . plot ( b , main = "B" . plot ( c , main = "C" . plot ( d , main = "D" . plot ( e , main = "E" . #Save all plots savePlot ( { plot ( a , main = "A" . plot ( b , main = "B" . plot ( c , main = "C" . plot ( d , main = "D" . plot ( e , main = "E" . } , "test.png" , type="png" , height = 600 . #Save plots savePlot ( { plot ( a , main = "A" . plot ( b , main = "B" . plot ( c , main = "C" . plot ( d , main = "D" . plot ( e , main = "E" . } , "test2.png" , type="png" , height = 600 )

Again we have saved several plots in the “test” and “test2” directories with different file names. Then we can integrate Keap and DEAR using a simple R code:

#Import DEAR library(DEAR. #Import Keap library(Keap. #Import raster module library(raster. #Import package to save screenshots library(animate. #Define vector to store rasters rasters <- c("test", rep("test2", length(rasters)). #Read rasters into R environment rasters <- add_to_R_environment(. #Set up animation settings animate <- animate({ stop(); }, interval = 0.5. #Create layers for each raster rasterLayers <- lapply(rasters, function(x){ layer<-readPNG("files/" x); layer<-addLayerToEnvironment(layer); }, envir=envir=rasters(). #Add map layer to animation animate({ over <- layerOver; under <- layerUnder; moveOver <- moveOver; moveUnder <- moveUnder; paintOver <- paintOver; paintUnder <- paintUnder; }, interval=0.5. #Animation loop for(i in seq_along(rasters)){ if ((!is.null(animation::status()). & (!is.na(animation::status())). { print("running..."); } if((i == 1 | i == max(rasters). | (!is.null(animation::status())). { print("done!"); } if((i == 1 | i == max(rasters). | (!is.null(animation::status())). { savePlot({ layerOver; layerUnder; moveOver; moveUnder; paintOver; paintUnder; }, rasters[i]. } else { savePlot({ layerOver; layerUnder; moveOver; moveUnder; paintOver; paintUnder; }, rasters[i], log="false", width=600. } } stop(); 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135

The process to integrate Keap and DEAR Inventory 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.