Optimize Every Mile
From the warehouse to the doorstep. We help carriers and shippers slash fuel costs, predict ETAs, and turn last-mile chaos into a data-driven competitive edge.
Visibility Gaps Across the Supply Chain
Modern logistics generates massive data streams from GPS, IoT sensors, and WMS systems — but most of it never reaches decision-makers in time.
Route Inefficiency
Static route plans ignore real-time traffic, weather, and delivery density, wasting fuel and driver hours.
ETA Uncertainty
Inaccurate arrival predictions frustrate customers and create costly failed delivery attempts.
Warehouse Bottlenecks
Pick-pack-ship processes slow down when inventory data lags behind order velocity.
Last-Mile Cost Pressure
Rising customer expectations for fast, free delivery squeeze margins on every shipment.
Logistics Data Solutions
Capabilities that help carriers and shippers turn operational data into supply chain advantage.
Fleet & Telematics Integration
Stream GPS, IoT, and telematics data into a unified real-time tracking platform.
Predictive ETA & Route Models
Use ML to generate dynamic ETAs and optimize routes based on real-time conditions.
Supply Chain Dashboards
Monitor on-time delivery, cost per mile, and warehouse throughput across your network.
Network Optimization Strategy
Redesign distribution networks, carrier allocation, and fulfillment strategies with data.
Programs That Move Product Faster and Cheaper
Logistics teams capture the most value when fleet, warehouse, and delivery data are connected end to end.
Fuel & Idle Time Reduction
Analyze driver behavior, route deviation, and idling patterns to cut fuel spend and improve asset utilization.
Pick-Pack-Ship Throughput
Optimize warehouse workflows using real-time order data and slotting analysis to reduce cycle times.
Delivery Density Analytics
Cluster delivery stops by geography and time window to maximize drops per route and reduce cost per delivery.
Carrier Scorecard & Selection
Rate carrier performance on cost, transit time, and damage rates to optimize allocation decisions.
National 3PL Cuts Fuel Costs by 14%
A third-party logistics provider was losing margin due to inefficient routing and excessive idle time across its 500-truck fleet.
- Solution: We integrated telematics data with a dynamic route optimization engine that adjusts for traffic and delivery windows.
- Outcome: 14% reduction in fuel costs and 20% improvement in on-time delivery.
- Bonus: Driver utilization improved, reducing the need for contract drivers.
Logistics Analytics FAQs
We ingest real-time GPS, telematics, and IoT feeds via streaming pipelines, normalizing data from multiple fleet providers into a unified tracking layer.
Yes. Our ML models combine historical route data, traffic patterns, weather, and driver behavior to generate dynamic ETA predictions.
Last-mile optimization uses route planning algorithms and demand density analysis to minimize delivery cost per stop while hitting promised time windows.
Yes. We connect with major TMS and WMS platforms to enrich existing workflows with analytics without replacing core systems.
Typical pilots take 6–10 weeks, depending on data readiness and the number of fleet and warehouse systems in scope.
Yes. We apply routing and load consolidation models that balance cost, service levels, fuel consumption, and emissions goals.
Yes. We connect WMS, TMS, and order data to expose cross-functional bottlenecks between picking, staging, dispatch, and final delivery.
Optimize Your Supply Chain with Data
Connect fleet, warehouse, and delivery data for faster, cheaper logistics.
Get a Supply Chain Assessment