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Description
Every potential future scenario needs to be evaluated; each option carries its own likelihood. All viable choices should be weighed against both possibilities and their probabilities. Economic factors should guide the prioritization of these viable options. To maintain control, it is essential to automate all routine activities. A Supply Chain Scientist must take responsibility for the quantitative outcomes. Lokad offers insightful videos on Quantitative Supply Chain, covering topics such as demand forecasting, inventory management, pricing strategies, and more. These resources include weekly discussions with supply chain experts, concise overviews of core concepts, and organized lectures on supply chain dynamics. The Quantitative Supply Chain offers a fresh and innovative viewpoint on supply chain optimization, serving as a fundamental rethinking of numerous established practices, particularly in inventory forecasting. This approach is designed to leverage the most advanced statistical techniques and the extensive computational power that is accessible today, paving the way for a more efficient future in supply chain management. Overall, the integration of modern analytics into supply chain practices can significantly enhance decision-making processes.
Description
ADD*ONE is an advanced software solution designed to enhance the efficiency of the entire internal supply chain. By combining demand forecasting, planning, and control functions into a single tool, it streamlines operations significantly. The modular architecture allows the system to be tailored to fit businesses of various scales. Furthermore, it can easily integrate with existing ERP, PPC, and warehouse management systems. Companies can reduce procurement and inbound logistics expenses through optimized ordering and batch sizes, leading to a more cost-effective operation. The quality of planning is elevated by fostering transparency across organizations and facilitating knowledge sharing. It effectively condenses a wealth of individual data points into clear key figures presented in an organized graphical format. Demand planning, being a crucial element of the supply chain, must be seamlessly woven into all business processes, ensuring a continuous flow of information between the management and different divisions of the company. Achieving optimal inventory levels in the process industry necessitates a comprehensive optimization of the entire internal supply chain, providing a holistic approach to resource management.
API Access
Has API
API Access
Has API
Integrations
QuickBooks Commerce
SkuVault
Unleashed
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
Lokad.com
Founded
2006
Country
France
Website
www.lokad.com
Vendor Details
Company Name
INFORM
Founded
1969
Country
Germany
Website
www.inform-software.com/supply-chain-management/inventory-optimization-test
Product Features
eCommerce
CRM
Catalog Management
Channel Management
Customer Accounts
Data Security
Email Marketing
Inventory Management
Kitting
Loyalty Program
Mobile Access
Multi-Store Management
Order Management
Product Configurator
Promotions Management
Returns Management
Reviews Management
SEO Management
Shopping Cart
Templates
Product Features
Inventory Management
Alerts/Notifications
Barcoding / RFID
Forecasting
Inventory Optimization
Kitting
Manufacturing Inventory Management
Mobile Access
Multi-Channel Management
Product Identification
Reorder Management
Reporting/Analytics
Retail Inventory Management
Supplier Management
Warehouse Management