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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.
Description
It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.
API Access
Has API
API Access
Has API
Integrations
Azure Marketplace
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
Tagbox Solutions
Founded
2016
Country
Singapore
Website
www.tagbox.co/boxlenstm/
Vendor Details
Company Name
Thingsboard
Country
Ukraine
Website
thingsboard.io
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
