Julia forecasting yield planning media / commerce ops inventory posture

Forecast yield before underfilled inventory turns into revenue drag.

A Julia reference implementation for Kinetic Gain OS: allocate limited homepage, lifecycle, and promo inventory across higher-yield demand lanes, quantify shortfall, and publish a buyer-readable operator report from the same model.

Route: /yield-lane/ Route: /forecast-matrix/ Route: /inventory-posture/

Operator KPIs

dashboard summary

assigned units

Units allocated to monetizable lanes in the best plan.

17920.0

weighted yield

Modeled revenue protected by the chosen routing plan.

1502.0

weighted volatility

Accumulated uncertainty exposure still carried by the assigned plan.

inventory pools

Inventory surfaces represented in the optimizer sweep.

Inventory posture

where sell-through is tight

INV-1

Homepage and feature inventory

Assigned 15 of 18 units with 3 units left and forecast confidence of 94.0%.

YELLOW

INV-2

Email and lifecycle inventory

Assigned 14 of 14 units with 0 units left and forecast confidence of 91.0%.

RED

INV-3

Commerce promo and partner slots

Assigned 11 of 11 units with 0 units left and forecast confidence of 86.0%.

RED

Lane allocation

forecast vs constraint

Lane	Assigned	Shortfall	Score	Status
Homepage launch takeover YL-11 · Homepage and feature inventory	9 / 9	0	3754.8	GREEN
Editorial sponsor recovery YL-14 · Homepage and feature inventory	6 / 6	0	2084.4	GREEN
Lifecycle retention send YL-21 · Email and lifecycle inventory	7 / 8	1	2186.8	YELLOW
Product drop remarketing YL-27 · Email and lifecycle inventory	7 / 7	0	2212.7	GREEN
Partner bundle spotlight YL-34 · Commerce promo and partner slots	6 / 10	4	2426.4	RED
Clearance yield rescue YL-39 · Commerce promo and partner slots	5 / 5	0	2273.0	GREEN

why this matters

Kinetic Gain Embedded tie-back: this repo proves the portfolio can carry forecasting and yield logic in Julia while still publishing the same buyer-readable operator surface language for media and commerce teams.