Logistics&SupplyChain
Every mile and every dock delay has a cost. We build route optimization systems, real-time visibility pipelines, and computer vision tools for warehouse and yard operations that help logistics teams move freight more efficiently without adding another dashboard nobody looks at.
Route re-optimization frequency
VectorLogix fuel cost reduction, pilot fleet
Dock inspection time saved per shift
WhatmakesAIhardhere
Route and network optimization gets complex fast
Optimizing delivery routes across changing traffic, driver hours-of-service limits, delivery windows, and vehicle capacity is a genuinely hard computational problem. Static route plans built once a week can't adapt when a customer reschedules or a road closes.
Real-time shipment visibility has gaps
Shippers and customers alike want to know where a shipment is right now, not where it was scheduled to be. Many logistics operations still stitch together visibility from a mix of carrier updates, manual check calls, and outdated tracking portals.
Warehouse and dock inspection relies on manual checks
Damage detection, load verification, and dock safety checks are often still done by a person walking the yard with a clipboard. That's slow, inconsistent between inspectors, and easy to skip during high-volume periods when it matters most.
Demand variability strains capacity planning
Shifting order volumes, seasonal peaks, and supplier disruptions make it hard to plan fleet and warehouse capacity accurately. Under-provisioning delays shipments; over-provisioning ties up capital in idle trucks and labor.
Whatwebuild
Route optimization agents
We build AI agents that continuously re-optimize delivery routes as new orders, traffic conditions, and driver availability change, rather than relying on a route plan set once at the start of the day.
Real-time shipment tracking pipelines
We design data pipelines that unify GPS telemetry, carrier updates, and warehouse scan events into a single real-time shipment status feed, so customer-facing tracking and internal ops dashboards show the same accurate picture.
Computer vision for dock and warehouse inspection
We build computer vision systems that automatically flag freight damage, verify load configurations, and monitor dock safety conditions from existing camera feeds, giving supervisors consistent, documented inspection results without manual walkthroughs.
MLOps for continuously retrained routing models
We set up MLOps infrastructure so routing and demand models retrain against recent operational data on a schedule, keeping optimization accurate as seasonal patterns, new routes, or new customers change the underlying network.
Network and capacity planning strategy
We work with operations leadership to model fleet and warehouse capacity against demand forecasts, identifying where AI-driven optimization can absorb variability versus where physical capacity investment is genuinely the right answer.
Howwe'dapproachthis
Commonquestions
Most transportation management systems optimize routes at planning time and don't re-run the optimization once drivers are on the road. We build agents that continuously re-optimize in response to live traffic, new orders, and delays, working alongside your existing TMS rather than replacing it.