Logistics
AI applied to real network decisions
Practical use cases for 3PLs, carriers and shippers — systems that move freight and inventory with fewer exceptions.
AI Agents
Agents that resolve exceptions and keep freight moving.
Voice AI
Hands-free ops for drivers, dock workers and control towers.
Computer Vision
Cameras that turn yards and warehouses into structured data.
Predictive & Forecasting AI
Models that anticipate volume, delay and capacity risk.
Generative AI & NLP
Language systems for docs, customer updates and SOPs.
Recommendation & Personalization
Routing and slotting that optimize cost-to-serve.
Built on modern WMS, TMS and network stacks
Network Optimization
Warehouse AI
Data Platforms
Snowflake
dbt
Kafka
Power BI
Control Tower BI
Ops Integration
From network audit to ongoing optimization
Network Audit
Map lanes, warehouses, carriers and systems before proposing any model.
Lane Pilot
Prove routing or slotting on a limited set of lanes or DCs.
WMS / TMS Integration
Connect into warehouse and transportation systems so plans reach the floor.
Network Rollout
Scale the validated pilot across regions, modes and facilities.
Continuous Optimization
Models retrain as volume, fuel costs and service levels shift.
Engineering that understands network economics
We Optimize Cost-to-Serve
Models balance service level, freight cost and capacity — not just shortest path.
Built for Peak and Disruption
Systems hold up through holiday peaks, weather events and carrier capacity swings.
Integrates With WMS / TMS
Plans and exceptions show up in the tools warehouse and dispatch teams already use.
Floor + Network in One Team
Yard, warehouse and lane optimization ship from the same engineering crew.
Outcomes, not just deliverables
Selected work from our case studies.
AI-Optimized Logistics Route Planning
Route optimization for cost-effective and faster deliveries.
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Computer vision QC across 3 factory lines
Real-time defect detection deployed on production lines.
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Big Data Analytics for Business Intelligence
Predictive dashboards that shortened a reporting cycle from 3 weeks to 2 days.
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