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.