Industry · Logistics & Supply Chain
Business Intelligence & Analytics for Logistics
Move goods with fewer surprises. We build operational dashboards and predictive models on top of your TMS, WMS, and telematics data — so fleet, warehouse, and last-mile teams share one version of the truth.
Problems we solve
- • On-time-in-full (OTIF) is tracked in weekly PDFs instead of live
- • Fleet utilization and idle time are invisible until fuel bills arrive
- • Route cost-to-serve is unknown at the lane or customer level
- • Warehouse throughput, pick accuracy, and dwell time aren't measured together
- • Demand spikes get absorbed by overtime and expedited freight
What we build
- → OTIF, DIFOT, and SLA dashboards by lane, carrier, and customer
- → Fleet utilization, idle-time, and fuel-efficiency analytics
- → Route profitability and cost-to-serve models
- → Warehouse KPI dashboards (throughput, accuracy, dwell)
- → Demand forecasting and capacity planning models
- → Exception alerting for delayed shipments and stock-outs
Stack we work with
SAP TM, Oracle OTM, Manhattan, Blue Yonder, Shiprocket, Delhivery, plus telematics feeds (Samsara, FleetX) — surfaced through Snowflake / BigQuery / Postgres and Power BI / Tableau / Metabase.
Stop finding out about problems on Monday morning
Tell us your top three operational blind spots and we'll come back with a dashboard plan and rough timeline.
Start a Project