MEGA

Projected outcomes

Lever to result. On your data. Labeled projected.

We do not borrow someone else's case study. We show you the model, let you put your own numbers in, and replace the estimate with a measured result in the pilot.

Everything on this page is modeled. No number here is an actual MEGA customer result.

Move one lever. Watch the modeled result.

Availability is the cleanest lever to reason about: fewer stockouts, more sales you were already going to make. Put in your revenue, your margin, and the gain you think is reachable. The one assumption, the sensitivity, is the thing we fit to your data in the pilot.

Your numbers drag or type

$ M
+ pts
%
% rev / pt

This is the one assumption. In a pilot we fit it to your own sell-through. Until then it is a placeholder, not a promise.

Modeled result projected

you move +2.0pts availability
modeled lift +1.6% revenue
Modeled revenue lift / yr
$3.2M
Modeled margin lift / yr
$1.8M
Show the math

revenue_lift = revenue × (gain × sensitivity)
margin_lift = revenue_lift × gross_margin

Projected, illustrative. Not a MEGA customer result, and not a borrowed case study. The pilot replaces this estimate with a measured result on your own data by Day 90.

How we talk about numbers

Honest, narrow, and labeled beats confident and fake.

  • Day 30: running against your core process. Day 90: a measured read on the one KPI you picked, compared against the modeled estimate.
  • Lever to result: every outcome is the action taken and the projected P&L delta, traceable.
  • A modeled reduction in stockouts maps to a margin lift, validated on your own sell-through.
  • Industry benchmarks we reference (around +5% sales, +3% margin) are other companies' numbers, never presented as ours.
  • Every number you see is yours to change. Nothing here is presented as a delivered MEGA result.

Phase 1, not a platform bet

Run the real version on your data. That is the pilot.

Pick the workflow that hurts most, usually Allocate or OTB. We run MEGA alongside your current process, on your data, in your cloud, on pre-negotiated terms. Day 30 you are configured. Day 90 you see modeled lift on the one KPI you chose, measured against your own baseline.

Book a pilot See the projection model

Day 30 configured · Day 90 modeled lift on your chosen KPI · measured on your own data