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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
The Obase Replenishment solution offers a comprehensive approach for organizations looking to convert their data into actionable insights for overcoming complex supply chain obstacles. This innovative system features an analytics-driven demand forecasting model that leverages advanced machine learning techniques, enabling businesses to implement a top-tier, demand-focused inventory management strategy. To achieve profitability, it is essential to synchronize inventory supply with customer demands effectively. Additionally, minimizing inventory levels while accelerating sales is crucial for converting tied-up capital back into cash flow. The art of inventory optimization relies on maintaining an ideal amount of stock to meet customer needs without excess. By employing machine learning algorithms, the Obase Replenishment solution adeptly analyzes historical sales data to forecast future demand and suggests optimal reorder quantities, ensuring a seamless supply chain process that can adapt to changing market conditions. Furthermore, this approach not only improves efficiency but also enhances customer satisfaction by ensuring that products are available when needed.
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
Obase
Country
Turkey
Website
www.obase.com
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