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From "Buildable Now" to Promise Dates: How AI Helps EMS Planners Ship on Time

February 18, 2025·7 min read

The promise-date problem

"Can we ship this order by April 15?" In most EMS factories, answering this question accurately is harder than it should be. The planner needs to check inventory for every BOM line, review open POs and their expected arrival dates, consider alternates, check capacity, and account for quality holds. This process can take hours—and the answer is often a best guess.

What "buildable now" really means

Before you can promise a date, you need to know what you can build today. A "buildable now" view shows which work orders have complete kits—all materials on hand, no shortages, no holds. This is the foundation: if you can't see what's buildable now, you can't plan what's buildable next week.

VivyaWorks computes buildable-now status by crossing the BOM against current inventory, reserved stock, open POs, and approved alternates. The result is a clear list of work orders that can go to the floor today.

From buildable now to promise dates

The jump from "what can I build today" to "when can I deliver this order" requires forward-looking logic. The promise-date assistant in VivyaWorks looks at:

  • Current inventory and reserved stock across all open WOs
  • Expected PO receipts with supplier reliability adjustments
  • Approved alternates and their availability
  • Production capacity and routing times
  • Quality and compliance gate requirements

The output is a date range—not a single point—with confidence levels. Sales gets a realistic answer, and the planner has a defensible basis for the commitment.

What-if scenarios

The real power comes from simulation. "What if I expedite the PO for this IC?" "What if I swap to Supplier B?" "What if I defer WO-2034 by a week?" Each scenario recalculates the promise date and shows the ripple effect on other orders. Planners can make informed trade-offs instead of reacting after the fact.

Why this matters

Accurate promise dates reduce expediting costs, improve customer trust, and free planners from the constant firefighting that burns out good people. When the system can answer "when can we ship?" in seconds instead of hours, the entire operation moves faster and more predictably.

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