Government Procurement Consolidation Optimizer

Consolidation Setup

Participating agencies 6

Consolidation window (days) 21

Demand intensity 1.0×

Simulation speed 1.5 d/s

Live Batch Status

Units in pending batch0

Day in cycle0.0 / 21

Cumulative net savings$0

How it works

Agencies that buy separately each pay full unit price. A procurement office can instead pool requests into one consolidated order and let the batch cross volume-discount tiers before submitting it:

discount(Q) = 0%     if Q < 500 units
            6%     if 500 ≤ Q < 2000
            13%    if 2000 ≤ Q < 8000
            20%    if Q ≥ 8000

holding_cost ≈ Q · price · h · (T / 2)   [uniform arrivals over T days]
net_savings  = Q · price · discount(Q) − holding_cost

Every crate landing in the silo is one department's purchase request being folded into the shared order; the fill height is the running total Q. Waiting longer (a larger consolidation window T) usually pushes Q into a richer discount tier, but every unit that sits in the queue also accrues a small daily holding cost h — the opportunity cost of a delayed purchase. The optimizer's job is picking a window long enough to reach a good tier without that holding cost eating the discount.

Agencies — more simultaneous requesters fill the batch faster for the same window.
Consolidation window — how many simulated days the office waits before shipping one combined purchase order.
Demand intensity — scales how often each agency generates a new purchase request.
Ship order now — closes the current batch early, settling it at whatever tier it has reached.

This is the mechanic behind real Group Purchasing Organizations and government cooperative-purchasing programs, which combine many small agency orders to unlock supplier volume pricing that no single department could reach alone.

No tier Bronze −6% Silver −13% Gold −20%

⚠ Couldn't load the 3D engineThree.js failed to load from the CDN. Check your connection and reload.