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Average Ratings 0 Ratings

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ease
features
design
support

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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

Demand and Inventory Planning are fundamental components of conventional Supply Chain Management (SCM). Historically reliant on human intervention, Demand Planning often leads to forecasts that are both inaccurate and outdated, even when utilizing sophisticated statistical and machine learning methods. Similarly, inventory management, which employs Operations-Research-based optimization strategies, can frequently misconfigure inventory parameters, resulting in costly delays and magnified errors. By analyzing extensive correlations among historical supply chain demand, inventory levels, and supply metrics, AP&I can generate hundreds of millions of viable supply chain scenarios. This adaptive approach enables continual enhancements in replenishment decisions, ultimately fostering significant competitive advantages across the entire supply chain landscape. Such innovations not only streamline operations but also enhance responsiveness to market changes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

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

Tagbox Solutions

Founded

2016

Country

Singapore

Website

www.tagbox.co/boxlenstm/

Vendor Details

Company Name

Seeloz

Founded

2013

Country

United States

Website

www.seeloz.com/solutions

Product Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Product Features

Supply Chain Management

Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

Alternatives

Alternatives

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