RIntelligence
BProof grade
8Metrics retained
1Evidence records
FarEyeVendor

Reported outcomes

100000 routes, greater thanRoutes executedThe accumulation period is not disclosed. · FarEyeBaseline: Cumulative route baseline is not applicable. · Formula: The source states a lower bound without observations.
10000 hoursPlanning hours savedThe accumulation period is not disclosed. · FarEyeBaseline: Prior cumulative planning workload is not disclosed. · Formula: No route count/time aggregation method is disclosed.
100 %Shipment visibilityNo period is disclosed. · FarEyeBaseline: Prior visibility coverage is not disclosed. · Formula: No shipment denominator is disclosed.
99 %TMS app usage success rateNo period is disclosed. · FarEyeBaseline: Prior app usage is not disclosed. · Formula: No user denominator or definition of success is disclosed.
12 % improvementTruck fill-rate optimization2019 to 2024 · FarEyeBaseline: 7.8 · Formula: (8.7 - 7.8) / 7.8 * 100 = 11.54%, approximately 12%
5 % increaseOn-time delivery improvementNo period is disclosed. · FarEyeBaseline: Starting on-time rate is not disclosed. · Formula: No endpoints are disclosed.
8.7 unspecified fill-utilization unitsFill utilization endpoint2019 to 2024 · FarEyeBaseline: 7.8 · Formula: 8.7 - 7.8 = 0.9 units; relative increase 11.54%
30 minutes, less thanRoute-planning timeNo deployment period is disclosed. · FarEyeBaseline: 120 · Formula: (30 - 120) / 120 * 100 = -75% or better because the endpoint is under 30 minutes

Context and boundaries

WorkflowAI auto-routing–Shipment tracking–Digital POD–Empties management–Capacity controlsSuper Indo reports large-scale route automation, higher fill use and much shorter planning time.
ImplementationThe current PDF identifies Super Indo although the canonical URL is generic.2019 to 2024 for fill-rate utilization; other metrics have no stated window.
CaveatsTruck fill utilization uses values 7.8 and 8.7 without defining their unit.–The 12% headline aligns approximately with the endpoint arithmetic.vendor_owned

Source trail

  1. Super Indo case

    The linked PDF names Super Indo and reports 100,000+ routes, 10,000 hours saved, 100% shipment visibility, 99% TMS-app usage success, 12% truck fill-rate optimization, on-time delivery up 5%, fill utilization from 7.8 to 8.7 and route planning from 120 to under 30 minutes.

    company · accessed 2026-07-13
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