Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Through the integration of IoT for real-time monitoring and tracking of cargo, we expose inefficiencies in the movement of goods, financial transactions, and information flow. Our service offers comprehensive visibility across various modes of transportation, enabling clients to gain insights into their entire supply chain operations. With the actionable data we provide, customers can devise strategies to save costs, enhance their supply chain efficiency, evaluate performance metrics, and pinpoint potential bottlenecks. Our advanced analytics dashboards equip businesses with the intelligence necessary for better strategic decision-making and improved daily operations. In contrast to other companies providing supply chain visibility solutions, we assure our clients a minimum return on investment of 150% from our cargo monitoring services. By deploying automated locating and sensing technologies on multimodal containers and cargo, we gather critical data and reveal otherwise hidden areas in the supply chain. This allows us to deliver real-time, carrier-neutral information regarding the status and location of cargo throughout the entirety of its journey, ensuring that our clients remain informed at all times. Furthermore, this transparency helps enhance trust and collaboration among all stakeholders involved in the supply chain process.
Description
The BoxLens platform offers an integrated solution that combines hardware, software, analytics, and actionable insights to provide comprehensive visibility into essential supply chain metrics. Utilizing a blend of artificial intelligence and established business rules, it suggests various actions for users to take. The system automatically updates the next steps based on the actions executed, ensuring that all activities are documented for future analysis and enhancement of algorithms. Users can access a consolidated dashboard that highlights key performance indicators (KPIs) related to the supply chain. Additionally, it features real-time telemetry that syncs with the client's ERP data, along with alerts for any deviations or undesirable occurrences. Notifications can be sent through multiple channels, including dashboards, SMS, email, voice calls, or WhatsApp. The platform performs diagnostic evaluations of supply chain metrics in relation to relevant ERP data and operational conditions. Furthermore, it predicts possible supply chain disruptions in real-time, employing machine learning models that draw from historical data to forecast future trends. This capability allows for proactive planning at the source and timely interventions during operations. Moreover, it provides standardized templates that facilitate operations, quality assurance, and management reporting, thereby enhancing overall efficiency. In essence, BoxLens not only streamlines supply chain processes but also equips businesses with the tools needed to adapt and respond to dynamic market conditions.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Arviem
Country
Switzerland
Website
arviem.com
Vendor Details
Company Name
Tagbox Solutions
Founded
2016
Country
Singapore
Website
www.tagbox.co/boxlenstm/
Product Features
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No