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How does AI improve supply chain planning in 2026?

Answer:

In 2026, AI in supply chain planning goes beyond dashboards. It enables:

Predictive analytics to anticipate shortages and market conditions
Automated planning workflows to reduce manual work and silos
Real-time visibility across inventory, sourcing, and warehouse management

This results in higher operational efficiency and faster response to disruptions.

Other FAQs:

What is a BOM (Bill of Materials)?

How does Flowlity manage New Product Introductions (NPIs)?

What is the role of my teams in implementing Flowlity? What internal involvement should I expect?

Why implement collaborative planning with suppliers?

How does Flowlity integrate with SAP or other ERPs (Odoo, Microsoft Dynamics, Sage, etc.)?

What is the DDMRP (Demand Driven MRP) methodology?

How is the Demand Planning and Supply Chain forecasting solution market organized?

What parameters are taken into account when calculating the quantities to order?

How can a pricing software optimize profit margins?

How long does a typical Flowlity project take, from initiation to deployment?