Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
COGOS presents an innovative platform that leverages advanced technologies to initiate a digital transformation within the logistics industry. This platform delivers insights driven by AI and machine learning, focusing on enhancing workflow efficiency and reducing costs while providing capabilities such as predictive planning and intelligent dynamic route management, along with real-time tracking features. Additionally, the COGOS platform streamlines automated invoicing and payment processes, utilizing paperless digital trip sheets to enhance operational efficiency. By incorporating IoT devices, smart sensors, and integration with various third-party applications, it offers a range of functionalities, including secure transport with smart lock systems, geofencing alerts, and seamless digital onboarding for vehicles, drivers, and partners—all achieved with minimal manual intervention. The mobile applications provided by COGOS empower businesses and their partners to manage operations in a straightforward and effective manner, supporting workflow optimizations, cost reductions, and automation fueled by AI and machine learning models. Ultimately, COGOS not only enhances operational capabilities but also fosters a future-oriented approach to logistics management.
Description
ParkingRhino is an innovative smart parking platform that leverages IoT technology to solve the complex parking issues faced by urban environments. By utilizing advanced sensors, it provides real-time occupancy information displayed through user-friendly dashboards, allowing drivers to conveniently search, reserve, and navigate to available parking spots from their mobile devices. The platform incorporates artificial intelligence and machine learning techniques to analyze CCTV video feeds, particularly focusing on open-street parking availability. Its unique predictive model, which is currently patent-pending, assesses historical data alongside current events to accurately project future parking demand, aiding businesses in optimizing their pricing strategies. Seamlessly integrating with existing infrastructure like sensors and parking meters, ParkingRhino offers a cohesive system for monitoring both current and past parking trends. This solution is beneficial for a diverse range of stakeholders, including businesses looking to enhance their revenue and streamline traffic flow, as well as drivers in search of immediate parking options with up-to-date guidance. Overall, ParkingRhino aims to transform the urban parking experience through its comprehensive and data-driven approach.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
COGOS
Country
India
Website
www.cogostech.com/technology
Vendor Details
Company Name
ParkingRhino
Founded
2014
Country
India
Website
www.parkingrhino.com/index.html
Product Features
Logistics
3PL
Barcoding / RFID
CRM
Container Tracking
Cross Docking
Fleet Management
Inventory Management
Order Management
Purchasing
Scheduling
Shipping Management
Transportation Management
Product Features
Parking Management
Access Controls
Appeals Management
Citation Tracking
Custom Vehicle Owner Alerts
Damage Tracking
Electronic Tire Chalking
Event Management
Loyalty Program
Mobile Parking Signs
Payment Processing
Permit Management
Receipt Management
Reservations Management
Revenue Management
Ticketing
Tow Management
Violation Tracking