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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
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
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
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
