Your systems already hold what you need to know. Opservor connects what they hold, works out what it means, and says what deserves attention today — with the arithmetic shown, and with whatever it could not check named rather than left silent.
Three capabilities, one continuous loop. Every operation feeds the next decision.
Every vehicle, dock, SKU, shift and cost centre streams into one live picture. No blind spots, no stale spreadsheets, no waiting for the monthly report.
Guardian correlates signals across departments to explain why throughput dropped or costs moved — and shows the reasoning behind every conclusion.
Ranked, confidence-scored recommendations land where the work happens, so the team acts on the highest-impact move first — not the loudest alert.
The Guardian Engine is designed to watch every operation, learn continuously, and act before issues become problems — the difference between a dashboard that reports the past and a system that shapes what happens next.
Every pattern retained and reused
Real-time recommendation delivery
28 units on hand against a reorder level of 26. Above the line, so nothing is flagged. Seven units a day are leaving and the supplier takes ten.
Bakery item 484 has 4 days of cover. A replacement order takes about 10 days, so ordering today still leaves 6 days with nothing on the shelf.
Lead time is assumed at 10 days — no per-supplier lead time is recorded yet, and every finding that relies on it says so.
Not an alert. An alert says a threshold was crossed — which is exactly why 28 against 26 reads as fine.
See it in five minutes →One command surface for fleet, warehouse, inventory, finance and workforce — colour-coded so severity reads at a glance.
▲ 6.2% vs last week
Steady across all routes
Approaching capacity ceiling
Requires action this shift
Operations already produce the numbers. What is missing is the shape of them — whether a thing is improving, which site is dragging, and what needs attention before the shift ends.
Composite score, twelve weeks
Current period, all sites
Rolling thirty days
Every operation, right now
Every claim on this site sits in one of two columns, and the site says which. Nothing is described as working because it is designed, and nothing is left out because it is not finished yet.
Divides what left by the days observed, then the stock by that rate.
Found an item with four days of cover sitting above its reorder line, where the stock screen read healthy.
Reads service bookings against the vehicles a site actually has.
Found two of six vehicles booked into the workshop on the morning dock use had climbed to 94%.
Refuses to forecast from a balance below zero.
Stock cannot go below nothing. A forecast built on an impossible number is worse than no forecast.
Lists the checks that could not run, and why.
Named three depots it could not assess at all, rather than reporting them as clear.
Answers from the rows your account holds.
Refuses to estimate. A figure it cannot source is a figure it will not give.
Forty-one row-level policies in the database itself.
A query cannot reach another company’s data, because the database will not return it — not because the application remembers to filter.
Adapters written for Samsara, Motive, Geotab, Fleetio and Zoho.
Written and ready. None is connected to a live account yet, so nothing here has been proven against production data.
Growth, Improve, Change, Resilience, Strategy, Risk, Simulate, Root, Memory, Proof — and the set grows.
Reading degradation in telemetry and scheduling the intervention before the failure.
Reading across cost centres to surface what no single owner can see.
Finding what precedes an incident, while action is still preventive.
Excursions caught on the leg they happened on. Compliance checked together rather than one audit at a time.
What was tried last time this happened, and what it cost.
A company this size should build the next thing a customer needs rather than the next thing on a roadmap, so the second column is deliberately a queue and not a release schedule. See what the checks found, or read the reasoning behind them.
Route optimisation, utilisation tracking and delivery performance across distributed fleets.
Dock scheduling, shift productivity and fulfilment throughput measured every shift.
Line efficiency, predictive maintenance and downtime prevention at plant scale.
SKU-level visibility, dynamic reorder points and stock-out prevention.
Cost-centre performance, budget variance and margin intelligence in real time.
Attendance, performance and risk-pattern detection before incidents occur.
Bring every signal into one place — and act on it the same day.
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