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What is add*ONE?

ADD*ONE is a sophisticated software solution aimed at boosting the efficiency of the internal supply chain. By integrating demand forecasting, planning, and control functions into one cohesive tool, it significantly streamlines operations. The system's modular design enables customization for businesses of all sizes, making it adaptable to various needs. Additionally, it seamlessly integrates with current ERP, PPC, and warehouse management systems for enhanced functionality. Companies can lower their procurement and inbound logistics costs through optimized ordering and batch sizes, resulting in a more economical operation overall. The planning quality is improved by promoting transparency among departments and encouraging the sharing of knowledge. It skillfully synthesizes numerous individual data points into easily digestible key figures showcased in a well-organized graphical format. As demand planning is critical to the supply chain, it must be intricately connected to all business processes, ensuring a steady exchange of information between management and different company divisions. Achieving ideal inventory levels in the process industry requires a thorough optimization of the entire internal supply chain, which provides a comprehensive resource management strategy. Ultimately, this holistic approach not only enhances operational efficiency but also empowers organizations to make informed decisions based on real-time data.

What is TESISQUARE Platform?

The TESISQUARE Platform is engineered to support digital and collaborative ecosystems, which have become increasingly vital in today's fast-paced environment. As supply chains face the need for greater flexibility and responsiveness, having visibility is crucial for quickly adapting to changes and managing intricate processes throughout the network. This collaborative platform connects various enterprises, empowering users to achieve optimal supply chain visibility even in complex business landscapes. It enables clients to construct their own digital ecosystems, fostering enhanced collaboration among companies and strengthening supplier relationships. Furthermore, all transactions within this interconnected ecosystem can be smoothly integrated. The platform features versatile and scalable software suites that address both inbound and outbound supply chain activities, with the TESI Control Tower providing businesses with a comprehensive toolset to synthesize, analyze, and manage events through proactive analytics systems and key performance indicators (KPIs). Additionally, it offers drill-down capabilities, allowing for a more granular analysis of data. As such, organizations can make informed decisions that drive efficiency and innovation in their supply chain operations.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

INFORM

Date Founded

1969

Company Location

Germany

Company Website

www.inform-software.com/supply-chain-management/inventory-optimization-test

Company Facts

Organization Name

TESISQUARE

Date Founded

1995

Company Location

Italy

Company Website

tesisquare.com

Categories and Features

Inventory Management

Alerts/Notifications
Forecasting
Inventory Optimization
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Reporting/Analytics
Retail Inventory Management

Categories and Features

Supply Chain Management

Electronic Data Interchange
Order Fulfillment
Shipping Management
Supplier Management
Transportation Management

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