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Intelligenza artificiale
Gli algoritmi intelligenti di Flowlity combinano le più avanzate tecniche di machine learning, ensemble learning e deep learning.
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Grazie all'intelligenza artificiale, Magotteaux ha ridotto il valore delle scorte del 13% e la copertura delle scorte del 22%, riducendo anche le scorte dell'8%
Michel Klein
Responsabile S&OP, Magotteaux
IA per i pianificatori
La prima soluzione di previsione e pianificazione della supply chain nativo dell’IA .
Previsioni probabilistiche
Raccomandazioni basate sull'intelligenza artificiale e sui vincoli
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Rilevamento di eventi passati
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Raccomandazione di prodotti simili
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Previsione dei ritardi nei tempi di consegna
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Dalla pianificazione della supply chain statica a quella dinamica
Flowlity offre forecasting in tempo reale e una pianificazione continua — addio ai cicli settimanali o mensili lenti.
La tua supply chain rimane sempre allineata ai dati aggiornati, con piani che si adattano automaticamente non appena le condizioni cambiano.
From Legacy Tools to AI-Driven Supply Chain Planning
Previsione
Operazioni di previsione e pulizia dei dati
Stock di sicurezza
Pianificazione
Workflow
Discover more about AI for Supply Chains
How artificial intelligence is transforming Supply Chain management
Artificial intelligence is no longer a futuristic concept for global supply chains. Today, AI supply chain solutions are actively reshaping how companies forecast demand, optimize inventory levels, manage disruptions, and automate decision-making across end-to-end supply chain operations.As volatility increases, traditional tools based on static rules and spreadsheets struggle to keep up. AI in supply chain management introduces a new paradigm: data-driven, adaptive, and increasingly autonomous planning—designed to support planners, not replace them.
What is AI in the Supply Chain?
AI in the supply chain refers to the use of artificial intelligence, machine learning, and advanced algorithms to analyze vast amounts of data and support better, faster decision-making across supply chain management.
Unlike traditional automation, supply chain AI continuously learns from:
- Historical data
- Real-time data
- Market trends
- Supplier performance
AI systems can detect patterns, anticipate disruptions, and recommend actions with a level of speed and accuracy that manual processes simply cannot match. This shift enables companies to move from reactive planning to AI-driven, proactive supply chain orchestration.
How AI-powered Supply Chain software works in practice
Modern AI supply chain software connects data across the entire ecosystem—ERP systems, suppliers, warehouses, and retailers—and transforms it into actionable intelligence.
At its core, AI-powered planning relies on:
- Machine learning models trained on historical and real-time data
- Probabilistic forecasting instead of single-point forecasts
- Optimization algorithms that balance cost, service level, and sustainability
These AI-enabled systems continuously recalculate scenarios, allowing planners to adjust inventory, production, and procurement decisions in near real-time. The result: faster workflows, fewer bottlenecks, and more resilient supply chain networks.
Core AI use cases across the Supply Chain
Demand Forecasting & Inventory Optimization
AI has become a game-changer for demand forecasting. By analyzing multiple signals simultaneously, AI improves forecast accuracy while accounting for uncertainty.
Key benefits include:
- Optimized inventory levels
- Fewer shortages and overstocks
- Cost-effective safety stock strategies
- Improved customer satisfaction
AI-powered forecasting adapts dynamically as demand patterns evolve —especially critical in retail, manufacturing, and healthcare supply chains.
Supply Chain Disruption & Risk Management
Disruptions are now the norm, not the exception. AI strengthens risk management by detecting early warning signals across global supply chains.
AI applications help organizations:
- Identify disruptions before they escalate
- Simulate alternative scenarios
- React faster to supply or demand shocks
By leveraging real-time data, AI-driven systems support resilient decision-making—even in highly volatile environments.
Procurement, suppliers & network optimization
In procurement and sourcing, AI improves visibility and performance across supplier ecosystems.
Use cases include:
- Monitoring supplier performance
- Optimizing procurement decisions
- Identifying bottlenecks across supply chain networks
- Improving delivery times and cost control
For supply chain leaders, this means smarter sourcing strategies and better collaboration with providers and retailers alike.
Automation of planning & decision workflows
Beyond automation, AI agents represent the next evolution of supply chain AI.
AI agents are autonomous, goal-oriented AI tools that:
- Monitor supply chain operations continuously
- Trigger alerts when anomalies or risks appear
- Recommend—or execute—specific actions
Instead of manually reviewing dashboards or managing data entry, planners interact with AI agents that streamline workflows, prioritize exceptions, and orchestrate decisions across planning cycles.This human-in-the-loop approach ensures that AI augments expertise while keeping planners in control.
Business impact of AI in Supply Chain management
When deployed effectively, AI delivers measurable business impact across the organization:
- Lower operating costs through better optimization
- Improved service levels and customer satisfaction
- Faster decision-making with less manual effort
- Greater sustainability through reduced waste and smarter inventory policies
- True end-to-end visibility across supply chain operations
AI adoption also enables teams to focus on high-value strategic decisions rather than repetitive planning tasks—unlocking productivity at scale.
The future of AI Supply Chain: from planning to autopilot
The future of AI in supply chain management is not about replacing humans—it’s about collaboration between planners and intelligent systems.
As AI models mature, supply chains are moving toward:
- More autonomous planning cycles
- AI-driven orchestration across functions
- Adaptive, real-time decision-making
- Stronger, data-driven ecosystems connecting suppliers, retailers, and partners
For organizations embracing this transformation, AI becomes a strategic asset—helping supply chain leaders navigate complexity, uncertainty, and growth with confidence.
AI supply chain solutions are no longer optional. They are becoming the foundation of modern, resilient, and sustainable supply chain management.
At Flowlity, we believe the future belongs to AI-powered, planner-centric supply chains—where technology works in the background, and humans stay in control.
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