AI systems that let your
operations ship smarter.
Custom AI for logistics operators, distributors, and 3PLs — carrier selection automation, ETA prediction, customs documentation, and inventory intelligence. Built on your existing WMS and ERP. Full source code ownership. No platform lock-in.
The full flow
AI across every supply chain stage
From supplier PO to reverse logistics — every stage automated, every handoff intelligent.
- Supplier communication automation
- PO generation from demand signals
- Lead time prediction & buffer stocking
- Inbound receiving automation
- Pick path optimization per order batch
- Inventory discrepancy detection
- Carrier selection by cost, speed & SLA
- Label generation & manifest automation
- Order batching by zone and weight
- Real-time ETA prediction & customer alerts
- Exception handling & rerouting triggers
- Proof-of-delivery reconciliation
- Return reason classification & routing
- Refurbish vs. liquidate decision logic
- Reverse logistics carrier optimization
The friction
Where logistics operations bleed time and margin
Carrier selection done manually every shipment
Rate shopping across 8+ carriers, checking SLAs, weight breaks, and zone charts by hand for every outbound shipment. That's 20+ hours a week at scale — and the cheapest rate is still missed half the time.
ETA predictions that customers don't trust
Manual ETA calculations based on historical averages miss real-time conditions — weather, port congestion, carrier capacity. 40% of ETAs are wrong. Every wrong ETA is a support ticket.
Customs errors that freeze shipments at the border
Manual customs documentation — HS codes, country of origin, valuations — generates errors that delay shipments for days and trigger fines. One wrong field on an international shipment can cost $50K.
Inventory data fragmented across WMS, ERP, and 3PL
Getting a single accurate inventory position requires pulling from your WMS, ERP, and 3PL system manually. By the time the report is built, the data is already stale.
Demand signals that arrive after the stockout
By the time inventory shortage is visible in reporting, the stockout has already happened. Demand signals exist two weeks earlier — they're just not being automated.
Supplier communication with no intelligence layer
POs sent by email, lead times tracked in spreadsheets, supplier delays discovered by the buyer. No automated follow-up, no exception escalation, no PO adjustment triggered by demand signal.
What we deploy
Six systems. One supply chain that runs on AI.
Each system is production-deployed, not a demo. Built on your existing stack. Full source code ownership.
Carrier Selection Engine
Automated rate shopping across all connected carriers in real time — cost, SLA, zone, weight break, and service level optimized per shipment without human intervention.
Predictive ETA Intelligence
Machine learning model trained on your historical carrier performance, weather, and port data. ETA predictions 94% accurate. Customer alerts triggered automatically on exceptions.
Customs Documentation Automation
HS code classification, country-of-origin declaration, valuation calculation, and document generation for all international shipments — 100% accurate, zero manual prep.
Inventory Intelligence Layer
Unified inventory position across WMS, ERP, and 3PL in a single queryable layer. Demand signals processed automatically — reorder triggers, buffer stock adjustments, and supplier POs generated.
Warehouse Operations Intelligence
Pick path optimization per batch order profile, inbound receiving automation, and inventory discrepancy detection with instant reconciliation. Throughput up without headcount increase.
Supplier Communication Engine
Automated PO generation from demand signals, lead time tracking with proactive escalation, and supplier performance scoring. No email-based PO management, no spreadsheet tracking.
Case study
Regional distributor eliminates $2.3M in logistics waste and achieves 94% ETA accuracy in 8 weeks
A regional distributor with 12,000 monthly shipments was manually rate-shopping 6 carriers, tracking ETAs in spreadsheets, and missing reorder signals by 14 days.
What we built
- Carrier selection engine across 6 APIs — cost, SLA, and zone optimized per shipment
- Predictive ETA model trained on 18 months of carrier history and real-time signals
- Inventory demand signal layer feeding auto-reorder triggers to ERP
- Customs documentation automation for 800+ international SKUs
M. Chen, VP of Operations
Regional Distribution Group
The stakes
Why accuracy matters in logistics
In supply chain, errors aren't inconveniences. They're measurable revenue events.
A wrong HS code doesn't cost a spreadsheet error — it costs a $50K delay
Customs authorities don't accept corrections after the fact. AI classification validated against the current HTS schedule means zero misclassification.
A missed reorder signal doesn't mean a warning — it means $2.3M in lost revenue
The margin on correct demand forecasting is measured in fulfilled orders. Every signal the system misses is a stockout that didn't have to happen.
A wrong ETA isn't an inconvenience — it's a churn event
B2B buyers don't tolerate unpredictable delivery. Every wrong ETA prediction erodes contract value. 94% accuracy keeps renewals intact.
Integrations
Connects to your existing stack
We build on top of what you already run. Nothing gets replaced.
WMS
ERP & OMS
Carriers
Customs
FAQ
Questions from logistics & ops teams
Ready to start
Book a 30-minute discovery call.
We'll map your highest-leverage workflows.
No pitch deck. We'll audit your current operations, identify the exact automations worth building, and give you a scope with ROI projections — before you commit to anything.
Book discovery callTypical first response within 4 business hours.