Events are demand-impacting signals — such as promotions, markdowns, stockouts, seasonality shifts, or anomalies — that Toolio automatically detects or lets you define manually. The Events page gives you a single place to view, create, and manage these signals so you can understand what drove historical demand and apply that knowledge to improve your forecasts.

The Events page is located at Settings > Configuration > Intelligence > Events.

Note: Events is controlled by a feature flag and must be enabled for your organization by your Toolio team. If you don't see the Events page in Intelligence, reach out to your Customer Success Manager.

The Events page uses Toolio's familiar Excel-style grid. Each row represents one event — either detected (surfaced automatically by the system) or custom (created by you).

Every event displays the following information:

Detected events are surfaced automatically by Toolio based on historical demand patterns. They appear directly in the Events page without any setup required.

Use detected events to quickly identify promotions, markdowns, stockouts, seasonality spikes, or anomalies that influenced past sales.

Each detected event includes:

Click Add Event in the top right of the Events page. You can create a custom event in two ways: from one or more detected events, or by defining it manually.

Use this option to replicate a proven past event, or to combine up to five related past events into one event. For example, you can combine several weekends of a recurring promotion into one future event.

The Summary shows one row per selected event and a Recommended row for the combined event:

If your selection breaks a rule, a red message explains why and CONTINUE stays disabled:

Events from different channels can be combined, but Toolio asks you to confirm first.

Each event is weighted by its volume: weight = number of choice-location pairs × number of weeks. A larger event counts for more than a smaller one.

Toolio averages the expected and actual units using the weights, then compares them: 10.00 ÷ 8.33 − 1 = +20%. A simple average of the two percentages would give +35%, which overstates the smaller event.

The recommended classification takes its direction (uplift or drop) from the selected events. Its strength (Low, Medium, or High) is the weighted middle of the selected events' strengths. In the example above, B carries most of the weight, so the result follows B's strength.

The new event keeps a link to each of its source events, and the Source column shows how many it was built from.

Use this option when you already know the expected impact of an upcoming event.

The Events page includes a unified filter panel for Choice and Location. Filters update the grid immediately, so you can quickly narrow down events to the products and locations you care about.

You can:

Right-click any event row to edit or delete it. The Source column makes it easy to distinguish system-generated events from ones you created.

Select Edit to change the event's details, such as its time frame, impact %, classification, or filters. The source events of a combined event can't be changed after it's created.

Select Delete to remove an event. Deleted events disappear from the grid and no longer influence forecasts. You can delete both detected and custom events.

Events are applied to both forecasting workflows:

Event import is planned for a future release.

Yes. Right-click the event and select Delete. It's removed from the grid and no longer influences forecasts.

Yes. Statistical forecasts use every event that has an Impact %, both detected and custom.

Up to 5. They must all be detected Units events, and they must all be uplifts or all be drops.

Yes. Both are prefilled as recommendations. You can enter any Impact % and pick any classification before you click CREATE.

Events can only be created from detected events measured in Units. Retail $ events stay visible in the grid but can't be used as sources.

Yes, but Toolio asks you to confirm first. Combining channels can make the forecast less accurate.

Impact % is the estimated change in demand attributed to the event. A positive value indicates a demand lift; a negative value indicates a demand drop.

Mean Abs Δ (mean absolute change) is the average absolute shift in demand observed during the event window, expressed in units rather than as a percentage.

Choice scope defines which products (choices) the event is associated with. Location scope defines which stores or distribution centers are included. Both are set with filters when you create a custom event.