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SupplyAI

Автор: SymphonyAI

Загружено: 2025-10-03

Просмотров: 41

Описание:

Discover how SymphonyAI Industrial's SupplyAI helps manufacturers modernize supply chain operations with real-time insights, predictive analytics, and data unification—all powered by the IRIS Foundry platform. Learn how the application delivers measurable ROI through reduced inventory costs, shorter lead times, and optimized logistics.

Supply Chain Challenges in Industrial Environments:

Data fragmentation across internal and external systems - Limited visibility into real-time operational KPIs - Difficulty turning raw data into actionable insights How SupplyAI Solves It:
Built on IRIS Foundry to securely unify IT and OT data - Uses an MCP server to integrate enterprise and third-party systems - Provides a centralized view with analytics, visualization, and secure access Dashboard Views and Insights:
Real-time overview of stockout rates, spoilage loss, and procurement metrics - Inventory insights broken down by raw, in-process, QA, and finished goods - Production KPIs including OEE, utilization rates, and active work orders Logistics and Forecasting Intelligence:
Shipment status and order tracking by location - Forecast accuracy and demand volatility analytics - Monitoring of data source health (e.g., Microsoft Dynamics 365 connection status) Performance and Business Impact:
15% reduction in inventory stock holding costs - 20% reduction in lead times within 3 months of implementation - Strengthened agility, collaboration, and decision-making across the supply chain

Important Moments with Timestamps:

00:00 – Introduction to SupplyAI and its AI-powered capabilities
00:17 – Core supply chain challenges in industrial settings
00:36 – Data integration and unified intelligence via the IRIS Foundry platform
01:01 – Real-time 360° visibility across supply chain data
01:11 – Overview dashboard with key KPIs for supply chain managers
01:25 – Procurement dashboard insights: open POs, processing time
01:30 – Inventory dashboard: turnover, categorization by stage
01:42 – Production perspective: OEE, utilization, active work orders
02:07 – Logistics: order fulfillment tracking and delivery status
02:24 – Forecasting: demand trends, forecast accuracy, and volatility
02:33 – Data connectivity monitoring and system health overview
02:50 – Business outcomes: cost reduction, better risk management, smarter decisions
03:05 – Measurable client results: 15% lower inventory costs, 20% faster lead times
03:20 – Call to action: Contact SymphonyAI for next steps

SupplyAI

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