Introducing Iris

Your fleet is losing money.
We show you exactly where.

Upload three CSVs. In eight minutes Iris returns the amount your operation is bleeding from fuel theft, empty backhauls, and underutilised vehicles, down to the vehicle, the depot, and the date.

iris.ananceintel.com / dashboard
IRIS
page, command...
Overview
Dashboard
Fleet
Analysis
Fuel
Trips
Drivers
Vehicles
Emissions
Inbox
Alerts 11
Daily Brief . 13 May 2026
11 alerts, 287.9M exposure
Revenue & costLive
Recoverable
₦287M RECOVERABLE
Fuel anomaly detectionIQR . 1.5
94%98%91%
01 . Fuel intelligence

Theft, in amounts per fill.

IQR detection per fill, with a confidence score and a financial impact. Cross-references by depot, driver, and time-of-day to surface collusion.

Margin by corridorPeriod
LAG-ABJABJ-KANLAG-PHCABJ-PHCKAN-MAI+18.2%+14.0%+11.0%+4.8%-9.7%
02 . Route profitability

Per-corridor P&L.

Revenue, cost, and margin per corridor. Loss-making lanes flagged, backhaul opportunity identified.

Fleet population, sorted by scoreLive
Fleet avg
03 . Vehicle scorecards

Your fleet, ranked.

Single score per truck, sorted from top earner to retirement candidate. Fleet-average line shows where each vehicle stands.

Service-due queueToday
-14d-2d+10d
04 . Maintenance

Queued by urgency.

Sorted by days-until-due, tiered by severity. Longest-overdue trucks surfaced first with estimated service cost.

Cumulative emissions, YTDvs target
Compliance target
05 . Carbon

CO2 against target.

Cumulative emissions vs compliance target, gap quantified in current carbon pricing. Export-ready.

Driver cohort distribution45 drivers
ABCD121887
06 . Drivers

Cohorts A through D.

Graded A through D on safety, economy, and on-time. The score gap between top and bottom cohorts shows room for improvement.

Eight minutes from CSV to recovery.

No telematics hardware. No integration project. Drop your files, the engine runs, and every screen leads to a number you can act on.

01 . Upload

Drop your CSVs.

Trip logs, fuel records, GPS exports. Iris classifies sheets, infers schema, ingests rows.

drop CSV here
02 . Parse

Iris reads the rows.

5,578 GPS tracks, 3,242 fuel records, 4,140 trips, schema-inferred, classified, indexed.

VEH-007ABJ → KAD₦11.4K
VEH-014LAG → IBA₦18.2K
VEH-022PHC → ABA₦7.8K
VEH-031LAG → ABJ₦31.6K
VEH-016KAN → KAD₦9.9K
03 . Detect

Anomalies surface.

IQR-based detection flags suspect fills with a confidence score and a financial impact.

VEH-007278 km61 L
VEH-01494% conf.189 L
VEH-022189 km42 L
VEH-031732 km162 L
VEH-01691% conf.98 L
04 . Recover

See the amount.

Open the alert, work the recommendation, close the gap. Every insight is a number you can act on.

Recoverable on these fills
0
2 anomalies . 94% avg confidence
01
Anomalies
Fuel theft, quantified.
Avg 94% conf . ₦12.4M mo
02
Routes
Per-corridor P&L.
Best +18.2% . Worst -9.7%
03
Vehicles
Ranked. Best to worst.
25 underperformers . ₦29.7M
04
Maintenance
Queued by urgency.
3 overdue . 21 due 30d
05
Carbon
CO2 against target.
748.5 tCO2e . +13% vs target
06
Drivers
Cohorts A through D.
ABCD
Gap 34 pts . 45 drivers
01
Anomalies
Fuel theft, quantified.
Avg 94% conf . ₦12.4M mo
02
Routes
Per-corridor P&L.
Best +18.2% . Worst -9.7%
03
Vehicles
Ranked. Best to worst.
25 underperformers . ₦29.7M
04
Maintenance
Queued by urgency.
3 overdue . 21 due 30d
05
Carbon
CO2 against target.
748.5 tCO2e . +13% vs target
06
Drivers
Cohorts A through D.
ABCD
Gap 34 pts . 45 drivers

Sorted from best to worst.

Pick any vehicle in your fleet to see why it lands where it does.

VehicleScore
VEH-031
92
VEH-018
84
VEH-022
62
VEH-014
38
VEH-007
29
VEH-031Top performer
Top vehicle by margin.
Revenue
₦18.4M
Margin
+18.2%
Utilisation
92%
Fuel ₦/km
₦142
VEH-031 is the best vehicle in your fleet by margin. 92% utilisation, ₦142 fuel ₦/km, no theft flags in the last 90 days. Carrying ₦18.4M revenue this period.

Some routes make money.
Others burn it.

Iris computes revenue, cost, and margin per corridor. Hover a route to see its number; the unprofitable ones speak for themselves.

LAGOS ABUJA KANO P. HARCOURT MAIDUGURI
Selected corridor
-
Revenue, period
-
Net margin
-
-
Lagos → Abuja+18.2%
Abuja → Kano+14.0%
Lagos → P. Harcourt+11.0%
Abuja → P. Harcourt+4.8%
Kano → Maiduguri-9.7%

Three fleets, three problems.

Same upload, same minutes, same number at the end.

Courier . Lagos

Recovered 4.2M in 30 days from depot collusion.

Sixty-vehicle last-mile courier flagged a recurring 14% over-fill at one Lagos NNPC depot. Driver and station rotation eliminated the pattern within a fortnight.

60
Vehicles
-14%
Over-fill
₦4.2M
Recovered
Long-haul . Cross-border

Found 8.6M in empty backhauls per quarter.

Tema-Lagos haulier with 22 trucks discovered three of seven corridors returning empty on 65% of legs. Two backhaul contracts later, margin shifted from -2% to +9%.

22
Trucks
+11pp
Margin lift
₦8.6M
Quarter
Mining haul . Limpopo

Retired 4 trucks earning under fleet floor.

40-vehicle ore hauler ranked its population by margin and removed four trucks contributing under half of fleet-average revenue. Capex reallocated to two new high-margin units.

40
Fleet
4
Retired
+₦14M
Annual

Stop estimating.
Start recovering.

Eight minutes. Three CSVs. The amount your fleet is losing this month.

No hardware . No integration . No card