Software Alternatives, Accelerators & Startups

RF-SMART VS Scikit-learn

Compare RF-SMART VS Scikit-learn and see what are their differences

RF-SMART logo RF-SMART

Improve accuracy with RF-SMART's WMS - Inventory management barcoding solutions for NetSuite, Oracle Cloud SCM, Microsoft Dynamics AX, JD Edwards EnterpriseOne, and JD Edwards World.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • RF-SMART Landing page
    Landing page //
    2023-10-17

RF-SMART is a WMS solution that is a global leader in barcoding and mobile inventory management for Warehousing, Wholesale Distribution, Manufacturing, Retail & eCommerce. Leveraging barcodes and data collection technology, RF-SMART automates business processes so the production, movement, management and fulfillment of inventory is fast and accurate. RF-SMART integrates directly with ERPs as a WMS for NetSuite and inventory management for Oracle Cloud SCM.

Our inventory management solutions provide real-time visibility into your operations. As a mobile scanning Warehouse Management System (WMS), RF-SMART gives you full traceability from the receiving process all the way through delivery. A Built-for-NetSuite solution, RF-SMART is an industry-leading product that meets Oracle NetSuite's highest standard for SuiteApp Solutions. Over 1,500 customers are using our 70+ Built-for-NetSuite functions and advanced modules to mobilize warehouse and production processes and make their operations more efficient.

RF-SMART is also the #1 Brand of Inventory Management for Oracle SCM Cloud Users. It is the first SCM application approved for the Oracle Cloud Marketplace, as well as SOC 2 ® and HIPAA compliant.

  • Scikit-learn Landing page
    Landing page //
    2022-05-06

RF-SMART videos

RF-SMART Reveals the Top 3 Inventory Challenges for NetSuite Customers

More videos:

  • Review - RF-Smart BIN Transfer
  • Demo - What is RF-SMART for NetSuite
  • Demo - What is RF-SMART for Oracle Cloud SCM?
  • Demo - RF-SMART for NetSuite Demo Video

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to RF-SMART and Scikit-learn)
Inventory Management
100 100%
0% 0
Data Science And Machine Learning
ERP
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing RF-SMART and Scikit-learn.

What makes your product unique?

RF-SMART's answer

Since 1982, RF-SMART has provided an extensive array of supply chain expertise that is used in the development, implementation, and support of their software and hardware solutions. RF-SMART provides customers with the ability to improve their inventory control and prepare their supply chain processes for long-lasting success from receiving to shipping.

Why should a person choose your product over its competitors?

RF-SMART's answer

RF-SMART has helped 2,000+ companies optimize their warehouse operations from labeling and barcoding to cycle counting and shipping. With solutions built specifically for four ERPs, including Oracle Cloud and NetSuite, their team has over 40 years of consultative experience to back their award-winning inventory functionality.

How would you describe your primary audience?

RF-SMART's answer

RF-SMART serves a wide variety manufacturing, distribution, healthcare, and retail companies on Oracle Cloud and NetSuite.

What's the story behind your product?

RF-SMART's answer

Founded in 1982, RF-SMART is privately owned and operated. In over 40 years of operation, its team of global supply chain experts has helped over 2,000 customers find supply chain success through hardware, software, and support solutions.

Who are some of the biggest customers of your product?

RF-SMART's answer

Some RF-SMART customers you may be familiar with are Smoky Mountain Knife Works, Albanese Candy, BUILT Brands, and Peace Coffee.

Which are the primary technologies used for building your product?

RF-SMART's answer

Each RF-SMART solution is purpose built for customers on NetSuite, Oracle Cloud, JD Edwards, and Microsoft AX.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare RF-SMART and Scikit-learn

RF-SMART Reviews

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Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn seems to be more popular. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

RF-SMART mentions (0)

We have not tracked any mentions of RF-SMART yet. Tracking of RF-SMART recommendations started around Mar 2021.

Scikit-learn mentions (29)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 22 days ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 4 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / about 1 year ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
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What are some alternatives?

When comparing RF-SMART and Scikit-learn, you can also consider the following products

Spreadsheet Server - Spreadsheet Server have the power to build financial and operational reports with drill-down capability right in Excel from the ERP.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Global Cash Card - Global Cash Card offers a paycard solution to take your payroll 100% electronic. Our customized payroll card programs are simple to implement and easy to use.

OpenCV - OpenCV is the world's biggest computer vision library

Winshuttle - Winshuttle simplifies SAP business processes by providing automated solutions for data movement, workflow applications and data governance.

NumPy - NumPy is the fundamental package for scientific computing with Python