Video · Manufacturing

AI-Augmented MRP Planning in NetSuite

Many manufacturers still run MRP in spreadsheets and team knowledge. This discussion shows how planners can visualize demand, schedule production and act on supply recommendations inside NetSuite, without replacing its planning engine.

Discussion · 36 min · Hector Cardenas and Jacob Powell

What This Video Covers

Hector Cardenas and Jacob Powell walk through a working AI-augmented planning environment built on NetSuite’s native MRP engine. Planners see demand and supply over time instead of reading table-driven screens.

The MRP Item Health Dashboard surfaces incomplete or contradictory item and location settings before they corrupt a planning run. Supply recommendations and pegging are reviewed and acted on in place, and the tailored views are produced quickly with AI-augmented development rather than bought as a third-party planning system.

The through-line: NetSuite stays the system of record while the planning experience is shaped around how planners actually think.

Key moments

  1. 0:00The problem: MRP run in spreadsheets and tribal knowledge
  2. 2:00NetSuite’s native planning workbench: supply, demand and the netting function
  3. 4:15Where the native workbench breaks down for planners
  4. 7:25MRP Item Health Dashboard: fixing item and location setup data fast
  5. 10:10Forecasting by customer when NetSuite models only item and location
  6. 13:17Moving planners from a monthly to a weekly cadence
  7. 14:55The work center calendar: planned orders as a Gantt schedule
  8. 19:48Pegging and demand overlay: why each planned order exists
  9. 21:49Firming and converting planned work orders in place
  10. 24:00Work center and asset views: capacity and machine-level scheduling
  11. 26:49What AI-augmented development changes about make versus buy
  12. 33:26Inventory view: safety stock, shortages and plan versus actual
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