AI Multi-Site Planning for Infor LN

Multi-Site Planning Challenges

Most multi-site LN environments operate as connected silos. Each plant optimizes locally, creating suboptimal global outcomes. Intercompany orders are managed manually, capacity sharing is reactive, and demand allocation follows static rules that don't reflect current conditions.

• Local optimization creates 10-20% global capacity waste
• Intercompany lead times 2-3x longer than necessary
• Manual demand allocation accuracy below 80%
• Cross-plant visibility gap causing redundant safety stock of $2-5M per site

Global AI Planning Agents

Netray's multi-site agents provide a global optimization layer on top of Infor LN's multi-company framework. They balance demand, optimize intercompany flows, coordinate production schedules, and minimize total system cost while meeting all service level requirements.

• Global demand sensing and optimal plant allocation in real-time
• Intercompany transfer optimization reducing transit costs 15-25%
• Cross-plant capacity sharing with automated schedule coordination
• Total cost optimization including labor, freight, and inventory holding

Multi-Site Optimization Results

Multi-site manufacturers achieve 15-20% reduction in total supply chain cost, 30% improvement in intercompany lead times, and unified global visibility. A global industrial manufacturer consolidated $18M in redundant safety stock across 7 LN sites.