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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
API Access
Has API
Integrations
Coverage.py
Django
New Relic
Python
SmartPOS by Petrosoft
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Barcoding / RFID
CRM
Container Tracking
Cross Docking
Fleet Management
Inventory Management
Order Management
Purchasing
Scheduling
Shipping Management
Transportation Management
