Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Intuiflow fuses proven Demand Driven planning methods with AI/ML to identify patterns in demand more quickly, accurately, and reliably than ever before. Inventory buffers give a fast, visual overview of which materials are in demand, while intuitive recommendations ensure smooth material flow without relying on comp
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
JD Edwards EnterpriseOne
Microsoft 365
NetSuite
QAD Adaptive ERP
SAP Adaptive Server Enterprise (ASE)
SKU Science
Sage 500
Integrations
JD Edwards EnterpriseOne
Microsoft 365
NetSuite
QAD Adaptive ERP
SAP Adaptive Server Enterprise (ASE)
SKU Science
Sage 500
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
Demand Driven Technologies
Founded
2011
Country
United States
Website
demanddriventech.com
Vendor Details
Company Name
Obase
Country
Turkey
Website
www.obase.com
Product Features
Automatic Replenishment Systems
Counting by Exception
Customer Management
Financial Management
Inventory Management
Nice Shelf Stocks
On-order Information
Sales Anticipation
Store Order Leveling
Zero Turnover Checks
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
MRP
Bills of Material
Compliance Management
Document Management
Forecasting
Formula Management
Inventory Management
Order Management
Process Manufacturing
Product Configurator
Production Scheduling
Quality Control
Quality Management
Quote Management
Reporting/Analytics
Resource Management
Safety Management
Supplier Management
Supply Chain Management
Production Scheduling
"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control
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