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Description
Supply chains are entering a phase characterized by heightened unpredictability. To guarantee that products reach those in need, Blue Yonder Supply Chain Planning utilizes a robust digital twin framework to intelligently forecast possible challenges and opportunities, provide machine learning-driven suggestions for proactive measures, and adjust production, inventory, and workforce strategies to mitigate risks while ensuring reliable delivery. By seamlessly connecting time and eliminating organizational barriers, Blue Yonder Supply Chain Planning effectively integrates demand and supply planning, as well as the upstream and downstream components of the supply chain. Additionally, Blue Yonder's advanced supply planning solutions not only enhance inventory management but also boost efficiency and elevate customer satisfaction, all while navigating the complexities of market fluctuations. This holistic approach empowers businesses to remain agile and responsive in an ever-changing landscape.
Description
Eyelit SIOP is a unified planning and execution platform designed for manufacturers managing complex supply chains, configured products, and multi-plant operations. The solution brings long-range sales and operations planning together with sales and operations execution in one model, reducing the gaps created by disconnected S&OP, S&OE, demand planning, and factory scheduling systems. Eyelit SIOP helps manufacturers manage demand, supply, capacity, inventory, replenishment, materials, and production commitments with constrained optimization. Its demand planning capabilities combine statistical models, sales insights, customer demand signals, market intelligence, distributor sell-through visibility, and machine learning-based weighting. Supply chain planning evaluates feasible manufacturing, distribution, replenishment, capacity, and material alternatives to generate optimized plans based on business objectives and constraints. Inventory planning uses multi-echelon inventory optimization to set safety stock targets across raw materials, WIP, sub-assemblies, finished goods, and distributor inventory. Attribute-based planning supports customer-specific requirements such as product specifications, approved suppliers, quality grades, country-of-origin rules, regulatory certifications, and acceptable alternative configurations. AI-driven ATP and CTP help create more accurate, constraint-aware order commitments, while Agent EyeQ supports schedule health monitoring, exception management, capacity alerts, and what-if automation. By combining S&OP, S&OE, demand planning, supply chain optimization, inventory planning, attribute-based planning, AI agents, and execution visibility, Eyelit SIOP helps complex manufacturers improve commitments and operational performance.
API Access
Has API
API Access
Has API
Integrations
3DEXCITE
Blue Yonder Platform
Eyelit
Eyelit MES
HIVERY
Microsoft 365
QAD Adaptive ERP
Rayven
Integrations
3DEXCITE
Blue Yonder Platform
Eyelit
Eyelit MES
HIVERY
Microsoft 365
QAD Adaptive ERP
Rayven
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
Blue Yonder
Founded
1985
Country
United States
Website
blueyonder.com/solutions/supply-chain-planning
Vendor Details
Company Name
Eyelit Technologies
Founded
1997
Country
United States
Website
eyelit.com/sales-inventory-and-operations-planning-siop/
Product Features
Demand Planning
Capacity Planning
Data Visualization
Historical Reporting
Inventory Optimization
Planned vs Actual Tracking
Product Introduction Planning
Promotions Management
Replenishment Management
Sales Forecasting
Supply Forecasting
Production Scheduling
"What If" Scenarios
Automated Scheduling
Bottleneck Optimization
Capacity Planning
Constraint Scheduling
Job Scheduling
Material Planning
Priority-Based Scheduling
Quality Control
