Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
If you're looking to establish or enhance a delivery fleet, CheetahNow offers a comprehensive web-based platform designed to help you create and expand your delivery network efficiently, utilizing technology for effective resource management. As a logistics service provider, you can consolidate demand within the network to optimize the use of your assets and drivers, enhancing overall efficiency. This white-label solution operates similarly to Uber, allowing for immediate deployment. What sets Cheetah apart from other crowdsourcing models is its advanced optimization engines, which not only match drivers with requests but also refine routes for enhanced delivery efficiency. This functionality transcends mere point-to-point deliveries by ensuring that each driver in the CheetahNow network receives a fully optimized route. Furthermore, Cheetah LOOP® accommodates all aspects of logistics, including first mile, last mile, and everything in between, making it suitable for crowdsourcing Linehaul, LTL, or local delivery services. By leveraging such a versatile platform, businesses can significantly improve their delivery operations and achieve better customer satisfaction.
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
Integrations
Coverage.py
No
Django
No
New Relic
No
Playable
Yes
Python
No
SmartPOS by Petrosoft
No
Integrations
Coverage.py
Yes
Django
Yes
New Relic
Yes
Playable
No
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/solutions/optimizing-network-sourcing/
Vendor Details
Company Name
Mako
Website
www.makotemplates.org
Product Features
Delivery Management
Customer Portal
No
Dispatch Management
No
Driver ETA
No
Driver Management
No
For Courier Services
No
For Freight
No
For Restaurants
No
Order Tracking
No
Routing
No
Scheduling
No
Signature Capture
No
Surveys & Feedback
No
Logistics
3PL
Yes
Barcoding / RFID
Yes
CRM
No
Container Tracking
No
Cross Docking
No
Fleet Management
No
Inventory Management
No
Order Management
No
Purchasing
No
Scheduling
Yes
Shipping Management
No
Transportation Management
Yes