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Average Ratings 0 Ratings

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ease
features
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support

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Write a Review

Description

The Cheetah Logistics Operations Optimization Platform® (Cheetah LOOP®) has undergone seven transformative generations, placing it far ahead of any competition currently available. It effectively addresses intricate shore-to-door logistics, taking into account various real-world limitations. By enhancing route networks from the initial mile to the final delivery, it facilitates operational efficiency for businesses of all sizes. Since our pioneering incorporation of GPS technology in 1987 to our state-of-the-art Fully Automated Order to Delivery Execution system, Cheetah has adeptly tackled issues related to route, personnel, and space optimization, while seamlessly connecting all supply chain nodes, including multimodal transport options. This innovative solution has allowed our clients to save millions in operational expenses by minimizing driver fleets, travel distances, fuel consumption, and dispatch-related customer service efforts, all while boosting customer satisfaction and ensuring consistent network performance. Additionally, the platform's continuous improvements have positioned it as an essential tool for companies aiming to streamline their logistics processes and maintain a competitive edge in the industry.

Description

Mako offers a user-friendly, non-XML syntax that compiles into Python modules, ensuring optimal performance. Its syntax and API draw inspiration from various sources, such as Django, Jinja2, Cheetah, Myghty, and Genshi, integrating the best elements from each. At its core, Mako functions as an embedded Python language (akin to Python Server Pages), enhancing conventional concepts of componentized layout and inheritance to create a highly efficient and adaptable model. This design maintains a close relationship with Python's calling and scoping semantics, allowing for seamless integration. Since templates are ultimately compiled into Python bytecode, Mako's methodology is remarkably efficient, having been designed to match the speed of Cheetah initially. Presently, Mako's performance is nearly on par with Jinja2, which employs a similar technique and was influenced by Mako. Furthermore, it can access variables from both its enclosing scope and the request context of the template, providing additional flexibility for developers. This capability allows for greater dynamic content generation in web applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Coverage.py No 
Django No 
New Relic No 
Python No 
SmartPOS by Petrosoft No 

Integrations

Coverage.py Yes 
Django Yes 
New Relic Yes 
Python Yes 
SmartPOS by Petrosoft Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Cheetah Logistics Technology

Founded

1987

Country

United States

Website

cheetah.com/technology/platform/

Vendor Details

Company Name

Mako

Website

www.makotemplates.org

Product Features

Logistics

3PL No 
Barcoding / RFID No 
CRM No 
Container Tracking No 
Cross Docking No 
Fleet Management No 
Inventory Management No 
Order Management No 
Purchasing No 
Scheduling No 
Shipping Management No 
Transportation Management No 

Product Features

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