Transforming Jewellery Production Planning with AI-Driven Scheduling

Jewellery manufacturers often face significant delays due to fragmented planning processes and lack of integrated systems. Reliance on Excel for simulations limits scenario analysis and process optimization. Without unified visibility into backward and forward planning, SAP, MRP, and attendance systems operate in silos. Fluctuating demand, poor prioritization of critical orders, and absence of real-time labor insights further strain resource allocation and extend lead times.

To address these challenges, we developed a custom AI-powered dynamic production planning application tailored for jewellery manufacturing. Our solution integrates SAP, MRP, and attendance data into a unified platform enabling advanced forward and backward planning with order prioritization.

The platform can simulate over 100,000 orders in minutes for both daily and long-term planning, allowing real-time scheduling adjustments aligned with demand and workforce availability. This results in optimized resource allocation and reduced unnecessary overtime.

Key benefits include a 120x improvement in simulation speed, a 35% increase in planning team efficiency, 24% better resource utilization, and a 26% reduction in overtime. Inventory visibility improved significantly, minimizing order delays. Leadership gained granular insights into associate-level planning and attendance, with flexible capacity planning over weekends and holidays.

By creating a single source of truth for scheduling, inventory, production, and orders, this AI-driven platform sets the foundation for smarter manufacturing.

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