We don't cheat.

Every forecast is made before the actuals arrive, stored, and compared against reality week by week. You never have to take the model's word for it.

Book a demo See the loop

app.odins.ai / verification

Forecast vs actualsforecast made at the cutoff, before actuals arrived

91% accuracy

Actuals Forecast

Always on

The loop that keeps it honest.

Models built once go stale. Ours runs on a cadence.

Daily: data collection

Automated syncs from digital channels, templates for offline. Gaps get flagged, not discovered in a quarterly export.

See data integration

Monthly: retraining

Every channel's response re-estimated and saturation curves updated, so shifts get caught while they still matter.

Monthly: forecast vs actuals

The model forecasts forward from a cutoff and gets checked when reality arrives. No retrofitting.

Quarterly: deep review

Assumptions reassessed with your team, channels added or removed, market changes built in.

What to expect

Accuracy you can check yourself.

The verification view shows the forecast and the actuals side by side, week by week. These are the numbers behind it.

Steady state: 85 to 90%+ forecast accuracy; most customers pass 90% within 6 to 12 months
Early models typically run 80 to 85% while they learn your patterns
External shocks (a new competitor, a tracking bug) show up in the verification, and we say so
A 30 to 45 minute monthly review covers accuracy, changes and the next recommendations

Accuracy pays off in the decisions.

A verified model is what makes the rest of the platform worth trusting.

Scenario planning

Forecasts you can commit budget to, with ranges.

See scenario planning

Recommendations

Monthly actions from a model that just proved itself.

See recommendations

Reporting and insights

Contributions that reconcile with what actually happened.

See reporting

The model

What gets estimated, and how to inspect it.

See the methodology

Drift detection

When the model's view diverges from reality, we flag it and separate data issues from real market change.

FAQ

Frequently asked questions.

How accurate are the forecasts?

Typically 85 to 90%+ in steady state; most customers are above 90% within 6 to 12 months. Early models run around 80 to 85% while learning your patterns.

How do we know you're not retrofitting?

Forecasts are stored when they are made, before the actuals arrive. The verification view compares them to reality, week by week.

How often is the model retrained?

Monthly, on data that is collected daily.

Is the first model useful?

Yes, immediately, and it sharpens over the first 3 to 6 months as forecasts get verified and priors give way to data.

What happens when we add a new channel?

It enters the model with wide uncertainty that narrows as evidence accumulates. Until then, recommendations treat it as a test.

What if the market changes dramatically?

Drift detection flags it, and the quarterly review (or an ad-hoc one) rebuilds the assumptions. A model can't foresee a shock, but it should notice one fast.

What does the monthly review look like?

30 to 45 minutes: forecast vs actuals, what changed by channel, this month's recommendations and any tests worth running.