Interactive tool

What does forecast accuracy actually buy you?

Drag one dial and watch the typical miss shrink. The honest range shrinks with it and never collapses to a point: at every setting it stays wider than the miss. It is the fastest way to see why a tight, confident interval on thin data is a warning sign, not a selling point.

Try it yourself

A sharp model still lands in a range

There is one honest dial that matters: how well the model tracks reality. Drag it up and the typical error falls. What does not collapse is the width of the nominal 80% range. The sandbox sets that width from the size of its own errors, and even for a strong model it stays near plus or minus 20%. That width is the honest part; a tight, confident band is hiding the difficulty, not beating it.

random guessnear perfect
Good model

Close on average, and still honest about the range it lands in.

Illustrative sandbox, not IRIS results.

0.80
how much of the variation the model explains (1.0 = perfect)
12%
MAPE
how far off it is on a typical store
±21%
80% interval
the honest range, set so 80% of stores land inside it
81%
Coverage
stores inside the range, ~80% here by construction (the interval is set to contain them)

A typical miss of 12% still leaves a fair 80% range of ±21%.

On a €1.20M forecast, a model this accurate would have you plan against€0.95M – €1.45M
Sites that land within 10% of the number6 in 10

Illustrative sandbox data, not IRIS results.

€0€1.5MPredictedActualperfect prediction

Next step

See this run on your own stores

The sandbox uses illustrative data. The Validation Sprint runs the same test on your estate: we hold back stores you already know, forecast them blind, and show you where the range held and where it did not.