Tag: implementation

NetSuite Questionnaire to Define NetSuite Modules for Implementation

Following questions can be asked to leads to NetSuite to understand about their business and determine the correct NetSuite edition and modules required. Product Based Questions How many users would you need to access your ERP? What is the breakdown of those users (warehouse, retail store front, financials, order entry, etc). Approximately how many order… Continue reading NetSuite Questionnaire to Define NetSuite Modules for Implementation

NetSuite Connector Implementation: Customer Sync

Data flow for Customer sync from BigCommerce to NetSuite. The customers from Big Commerce to NetSuite is synced using the NetSuite connector.   To sync the customer, create a customer in Big Commerce by adding the required fields.  Specify the date and time for under the settings so that the sync will consider the records created… Continue reading NetSuite Connector Implementation: Customer Sync

Deployment of Scripts and Scripts objects into a new Account

We must import the Suite script’s parent folder, which contains all of the scripts, into WebStorm.   The objects for the suite scripts are contained in the ‘Script object’. It helps in the creation of scripted records and deployment records in the desired account. The objects that need to be imported to the WebStorm are Client… Continue reading Deployment of Scripts and Scripts objects into a new Account

Netsuite WMS Alignment Information

Requirement  The client requires the alignment of the Warehouse Management System(WMS) in the Netsuite. In this phase, they require the  basic functionalities of the WMS to run their business process. Customizations and modifications will not be included in the phase I implementation. Prerequisite Features for NetSuite WMS The Warehouse Management feature is available only in… Continue reading Netsuite WMS Alignment Information

Implementing the Naive-Bayes Machine learning Model

It is a classification technique based on Bayes’ theorem with an assumption of independence between predictors. A Naive Bayes classifier assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. Naive Bayesian model is easy to build and particularly useful for very large data sets.… Continue reading Implementing the Naive-Bayes Machine learning Model

Stemming: Implementation using Python code

A normalizing method in Python JIRA CODE: JJ-134 Stemming:The idea of stemming is a sort of normalizing method. Many variations of words carry the same meaning, other than when tense is involved.There are mainly two errors in stemming – Over stemming and Under stemming. Over stemming occur when two words are stemmed to same root… Continue reading Stemming: Implementation using Python code

Lemmatization: implementation using Python

For Reducing morphological variations and grouping words to one common root JIRA CODE – JJ-134 It is the process of grouping together the different inflected forms of a word so they can be analysed as a single item. Lemmatization is similar to stemming but it brings context to the words. So it links words with… Continue reading Lemmatization: implementation using Python

K-Nearest Neighbor Algorithm(K-NN Algorithm) in Python

Implementation code of K-NN Algorithm using Python language JIRA CODE – JJ – 134 This algorithm is used to solve the classification model problems. K-nearest neighbor or K-NN algorithm basically creates an imaginary boundary to classify the data. When new data points come in, the algorithm will try to predict that to the nearest of… Continue reading K-Nearest Neighbor Algorithm(K-NN Algorithm) in Python