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DMSLOG.Ai — Hinterland truck-movement and terminal-gate scheduling data: per-appointment records for container hauliers (booking creation, slot chosen, arrival, gate-in and gate-out, truck turn-around time), automatically set daily appointment quotas by time slot, plus the input streams its forecasting models consume — vessel arrival and departure schedules, seasonality, yard productivity, resource availability and weather. Also carries dispatcher-side records synchronised from transport-management and ERP systems over API, EDI, EIR and FTP, and retained historical data migrated at each go-li…
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Hinterland truck-movement and terminal-gate scheduling data: per-appointment records for container hauliers (booking creation, slot chosen, arrival, gate-in and gate-out, truck turn-around time), automatically set daily appointment quotas by time slot, plus the input streams its forecasting models consume — vessel arrival and departure schedules, seasonality, yard productivity, resource availability and weather. Also carries dispatcher-side records synchronised from transport-management and ERP systems over API, EDI, EIR and FTP, and retained historical data migrated at each go-live.
Scale Est. 100From 4 yearsCoverage Information Technology · Industrials
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DMSLOG.Ai — Hinterland truck-movement and terminal-gate scheduling data: per-appointment records for container hauliers (booking creation, slot chosen, arrival, gate-in and gate-out, truck turn-around time), automatically set daily appointment quotas by time slot, plus the input streams its forecasting models consume — vessel arrival and departure schedules, seasonality, yard productivity, resource availability and weather. Also carries dispatcher-side records synchronised from transport-management and ERP systems over API, EDI, EIR and FTP, and retained historical data migrated at each go-li…
DMSLOG.Ai offers (Alternative, Supply Chain, Esg, Geospatial) — Est. 100,000-500,000 appointment records per mid-size terminal per year (a terminal handling 500,000-1,000,000 TEU by road generates roughly 250,000-500,000 truck visits, each producing several booking-lifecycle events), so a small live estate yields low millions of structured events annually with multi-year retention where history was migrated at go-live..
Port-hinterland and urban freight congestion modelling (hourly gate flows lead regional road congestion and warehouse demand); drayage cost and capacity modelling for shippers and retailers; terminal gate-capacity and labour planning; empty-move and port emissions inventories for decarbonisation and air-quality reporting; daily nowcasting of container throughput; training data for arrival-prediction and slot-allocation models from predicted-versus-actual appointment pairs; comparative haulier-behaviour analysis across terminals.
The data is with 4 years of history.
Coverage spans US, Europe, UK, Other, APAC; Application Software, Marine; alternative, supply_chain, esg, geospatial; equities, commodities.
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