Demand forecasting
SKU- and lane-level forecasts with seasonality, promotions, and external signals.
Industry · Logistics
AI for logistics
We build AI for logistics and supply chain — demand forecasting, route optimization, document automation for BOLs and customs forms, and agent copilots that reduce manual coordination across warehouses, carriers, and planners.
−18%Idle time
1.2KLoads/day
+22%Forecast accuracy
OCRDocs automated
Industry context
AI that moves operations
Logistics runs on documents, timing, and coordination. We connect TMS/WMS data with forecasting models, optimization engines, and document AI so planners spend less time on spreadsheets and more time on exceptions.
Route & load optimization
Real-time resequencing, capacity matching, and ETA prediction at scale.
Document automation
BOLs, PODs, customs forms — extract, validate, and sync to TMS/ERP.
Agent coordination
Copilots for dispatchers and planners with tool use across operational systems.
Use cases
Where logistics AI delivers
Use cases for shippers, 3PLs, and warehouse operators.
Demand Forecasting
Probabilistic forecasts by SKU, region, and lane with confidence intervals for inventory and capacity planning.
- Time-series ML
- Promo overlays
- ERP export
Route Optimization
Dynamic routing with traffic, dock windows, driver hours, and multi-stop constraints.
- Real-time replan
- GPS ingest
- Cost minimization
Document Intelligence
Automated processing of BOLs, invoices, customs docs, and PODs with validation rules.
- OCR + extraction
- Exception queues
- TMS sync
Warehouse Optimization
Slotting recommendations, pick-path efficiency, and labor forecasting.
- WMS integration
- Simulation
- KPI dashboards
ETA & Exception AI
Predict delays, notify customers, and recommend recovery actions before SLA breaches.
- Event streams
- Alert routing
- Customer comms
Dispatcher Copilots
Agents that query loads, draft customer updates, and trigger workflows across TMS and CRM.
- Tool use
- Human handoff
- Audit logs
Proof of work
Logistics delivery
Document and workflow automation with measurable operational impact.
Document Extraction Pipeline
High-volume document extraction and entity normalization — architecture proven across regulated industries.
82%Faster processing
$1MAnnual savings
Multi-Modal Processing Pipeline
Vision + NLP automation pipeline applicable to damage docs, POD photos, and exception handling.
68%Faster processing
$1.1MAnnual savings
Contract & Rate Doc AI
Extract rates, clauses, and obligations from carrier agreements and vendor contracts.
87.5%Faster review
$480KAnnual savings
How we help
Related services
Production AI capabilities we bring to every industry engagement.
01Which logistics systems do you integrate with?
TMS, WMS, ERP, and telematics platforms via API, EDI, and event streams — including custom legacy systems.
02How accurate are demand forecasts?
Typical SKU-level MAPE improvements of 15–25% over baseline statistical models when incorporating promotions and external signals.
03Can AI automate shipping documents?
Yes — BOLs, PODs, invoices, and customs forms with OCR, field validation, and straight-through posting to TMS/ERP.
04What's a realistic pilot timeline?
Document automation pilots in 3–4 weeks; forecasting and routing pilots in 6–8 weeks with clear KPI baselines.
Next step
Ready to optimize logistics with AI?
Tell us about your network — we'll design forecasting, routing, and document automation with measurable KPIs.