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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

SHARK is a versatile and high-performance open-source library for machine learning, developed in C++. It encompasses a variety of techniques, including both linear and nonlinear optimization, kernel methods, neural networks, and more. This library serves as an essential resource for both practical applications and academic research endeavors. Built on top of Boost and CMake, SHARK is designed to be cross-platform, supporting operating systems such as Windows, Solaris, MacOS X, and Linux. It operates under the flexible GNU Lesser General Public License, allowing for broad usage and distribution. With a strong balance between flexibility, user-friendliness, and computational performance, SHARK includes a wide array of algorithms from diverse fields of machine learning and computational intelligence, facilitating easy integration and extension. Moreover, it boasts unique algorithms that, to the best of our knowledge, are not available in any other competing frameworks. This makes SHARK a particularly valuable tool for developers and researchers alike.

Description

SHARK is a Warehouse Management System tailored for small to medium-sized enterprises. Its core philosophy revolves around the belief that significant cost and time savings can be realized through enhanced warehouse performance, primarily by reducing the amount of manual labor required. This is accomplished by strategically determining optimal storage locations for products, managing the order picking sequence effectively, and leveraging high-tech equipment to increase operational speed. To facilitate these improvements, SHARK employs sophisticated algorithms that enhance location utilization, expedite picking processes, and maximize space efficiency, all while operating seamlessly in the background to boost overall productivity. While advanced features are beneficial, they should not necessitate extensive training for users; thus, SHARK prioritizes user-friendliness. It is designed with intuitive functionality, allowing operators to quickly become proficient after just a brief introduction, ensuring that even new staff can adapt to the system with ease and efficiency. Ultimately, SHARK aims to streamline warehouse operations, making it an ideal choice for businesses looking to enhance their logistics capabilities.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

€520 per 3 months
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

SHARK

Founded

2018

Website

image.diku.dk/shark/sphinx_pages/build/html/index.html

Vendor Details

Company Name

SHARK WMS CLOUD

Website

www.sharkwms.com/en/front-page.html

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Warehouse Management

3PL Management No 
Barcoding / RFID No 
Category Customization No 
Channel Management No 
Demand Planning No 
Inventory Management No 
Location Control No 
Order Management No 
Purchasing No 
Quality Control No 
Receiving / Putaway Management No 
Returns Management No 
Shipping Management No 

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