Interactive demo · sample data

A working dashboard, not a screenshot.

A live sample of a decision workspace we'd build for a distribution client. Switch it to live mode and watch it stream. Click a product to drill into the rows behind it, run a factory scenario, blow any panel up full-screen. Everything responds — because everything we ship does.

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Filters

Live operations monitor

Press Go live above to stream throughput, latency and error rate in real time
Paused
Orders per minuteFulfilment latencyError rate

Revenue vs cost

Monthly, filtered
RevenueCost of delivery

Revenue by region

Click a segment to filter the whole dashboard

Order volume

Units shipped per month

Channel mix

Percentage of revenue

Where every order actually goes

Factory → destination region → delivery outcome. Ribbon thickness is order volume — hover any ribbon.
One picture replacing the four spreadsheets this usually takes.

On-time delivery

Against SLA

Capacity headroom

Network-wide

Order accuracy

Shipped as ordered

Revenue contribution

Area is revenue share — click any block to drill into its orders

Product performance

Click a column header to re-sort, click a row to drill in

Margin distribution

Revenue vs margin % — bubble size is units

Margin by product

Gross margin percentage

Factory reallocation simulator

Move volume between sites and see the predicted impact before you commit anything

Lead time by factory

Current vs model-optimised, in days
CurrentOptimised

Capacity utilisation

Percentage of available capacity in use

Ranked recommendations

Scored by lead-time saving × margin impact

Revenue forecast

Actuals to date with modelled projection and confidence band
ActualForecastConfidence band

Model confidence

Backtested on held-out months

Mean absolute percentage error of on the last six months held out of training.

Anomaly watch

Points the model did not expect

Data health profile

Six dimensions, this month against last
This monthLast month

Overall health score

Weighted across all six dimensions

Ingestion activity

Records received by hour of day over the last week

Open data issues

Automatically detected, with suggested resolution

Record explorer

Every headline number drills down to the rows behind it
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This took us eleven days to build.

Yours would be built the same way — around your data, your questions and the decisions you actually need to make. Start with a free call and we'll tell you honestly what's possible.