Operations analytics

See the operation while there is still time to act.

Watch throughput, backlog and service levels on dashboards that read your systems live, hear about a breach from an alert rather than a report, and drill from the network to the site behind it.

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Default viewEvery 5 min

Shipped on time

96.4%

Target 95%

Backlog

720

Limit 1,200

Backlog by hour, today

Orders

06:0010:0014:00

Limit 1,200

Site	On time	Backlog
North hub	97.8%	150
South hub	95.1%	190
East hub	93.2%	230
West hub	98.6%	150

Analyze

Backlog by hour

AnomaliesKey influencersForecast

Sensitivity 2.5σ

2σ (loose)4σ (strict)

9 points · mean 690 · σ 179

Normal band: 242 – 1,139 (2.5σ)

1 flagged point

12:001,180 +2.7σ

Illustration with sample data. A dashboard that refreshes every five minutes, with Analyze flagging the one hour outside the normal range.

The questions operations teams ask.

Each answer describes what the product does today, and links to the page in the documentation that explains how it works.

Are we meeting our service levels today?
A dashboard on your operational database reads it live, so there is no copy to wait for. Auto refresh runs the queries again every 30 seconds, minute, 5 or 15 minutes, and Present shows the dashboard full screen.
Auto refresh and Present
Tell me when the backlog crosses its limit.
Create an alert rule from a KPI card. It is checked on the server on a schedule, under your data access, and notifies by email, in the app or through a webhook, including to a Slack channel, when the value crosses into the condition.
Alert rules
Which site is behind?
Drill down a region, site and line hierarchy, or drill through from the summary to a site dashboard filtered to the value you clicked.
Drill-down and drill-through
Is this week's volume unusual?
Analyze flags the points outside a series' expected range at the sensitivity you choose, and projects the trend three, six or twelve periods ahead with a 95% confidence band. The statistics run without AI.
Anomalies and forecasts

How the work runs.

Alerts when a number crosses its line, and the reports and reviews that arrive on a schedule.

Every few minutes
The screen stays current
The operations dashboard runs its queries again on the cadence you pick, so the team sees the latest numbers without anyone pressing refresh.
Auto refresh and Present
Every hour
Alerts on the limits
Alert rules are checked on the server every hour and email the shift lead when backlog or the on-time rate crosses its limit.
Alert rules
Every week
The operations review
Write the weekly review as a story with live charts and one section per site lead, then post its link to the team's Slack channel.
PDF and Slack

Your data, where it lives.

Query the databases your ERP, warehouse management and ticketing systems write to, live. Pipelines can pull in Jira data and combine several systems into one dataset on a schedule.