Building an agent is 20% of the problem. Running it at enterprise scale is the other 80%.
This page is for the technical buyer. How Loft connects to your systems, reaches the physical world, proves every decision, monitors performance, and gets smarter over time. Five sections. The full production story.
Loft connects to the systems your supply chain already runs on.
Bidirectional: agents read from your systems of record and write results back. No middleware. No CSV uploads.
ERP: Major ERP platforms. PO data, status updates, goods receipts, via standard APIs and messaging interfaces.
TMS: Leading transportation management systems. Shipment creation, carrier assignment, ETA updates.
WMS: Warehouse management systems. Dock assignments, goods receipt, inventory positions.
OMS: Order management systems. Order status, fulfillment, allocation, OTIF measurements.
Carrier Systems: {{carriers}}K+ carriers via API, EDI, email, SMS, mobile tracking, ELD, voice. The Graph knows each carrier's preferred channel.
IoT: RFID, temperature sensors, GPS yard tractors, gate cameras (AutoGate). Real-time signals feed the Facility Twin.
ERP: Major ERP platforms. PO data, status updates, goods receipts, via standard APIs and messaging interfaces.
TMS: Leading transportation management systems. Shipment creation, carrier assignment, ETA updates.
WMS: Warehouse management systems. Dock assignments, goods receipt, inventory positions.
OMS: Order management systems. Order status, fulfillment, allocation, OTIF measurements.
Carrier Systems: {{carriers}}K+ carriers via API, EDI, email, SMS, mobile tracking, ELD, voice. The Graph knows each carrier's preferred channel.
IoT: RFID, temperature sensors, GPS yard tractors, gate cameras (AutoGate). Real-time signals feed the Facility Twin.
Integrations are plumbing.
Intelligence is what flows through them. When Loft receives a PO, the Order Twin immediately links it to carrier performance, lane distributions, and supplier reliability from the Graph. The PO becomes a live object enriched with {{years}} years of intelligence the moment it enters.
{{communication-channels}} channels. Every touchpoint your supply chain depends on.
Primary enterprise supply chain channel. Tracy emails carriers with Graph context: carrier history on this lane, likely root cause, specific info needed. Carriers respond because the email is specific, not generic.
FourSight Gen UI draws on the Graph to generate persona-specific views. The VP sees revenue at risk. The coordinator sees exceptions. The dock supervisor sees the next 4 hours.
Every decision has a record. Nothing happens in a black box.
When your board asks 'how is AI making decisions in our supply chain,' the Decision Trace is the answer.
DECISION TRACE
Step-by-step record
> Trigger: What event started the workflow.
> Data Gathered: What information the agent collected from which Twins.
> Intelligence Consulted: What the agent asked the Graph.
> Decision Made: What the agent decided and why.
> Action Taken: What the agent did and which channels it used.
> Response Received: What came back from the carrier, supplier, or system.
> Outcome Recorded: Final result, fed back into the Graph.
> Data Gathered: What information the agent collected from which Twins.
> Intelligence Consulted: What the agent asked the Graph.
> Decision Made: What the agent decided and why.
> Action Taken: What the agent did and which channels it used.
> Response Received: What came back from the carrier, supplier, or system.
> Outcome Recorded: Final result, fed back into the Graph.
DECISION TRACE
Why This Matters
> Trust: Every agent action explainable. 'Tracy used Resolution Path B because the Graph showed 78% success rate for this pattern.'
> Compliance: SOC 2 Type II and ISO 27001 require audit trails for automated decisions. The Decision Trace is that trail. Exportable. Queryable.
> Continuous Improvement: Traces feed back into the Graph. The system learns what works by carrier, lane, exception type, and season.
> Compliance: SOC 2 Type II and ISO 27001 require audit trails for automated decisions. The Decision Trace is that trail. Exportable. Queryable.
> Continuous Improvement: Traces feed back into the Graph. The system learns what works by carrier, lane, exception type, and season.
Know exactly what your workforce is doing. At all times.
01 / Analyze
Agent Performance Dashboard
Per-agent, per-customer, per-workflow metrics. Which workflows are succeeding, which are failing, and why.
02 / Monitor
Workflow Health
Each active AOP has a health score. When it drops below threshold, Loft flags it and Sophie proposes diagnostic analysis.
03 / Detect
Anomaly Detection
Sudden spike in escalation rate. Drop in resolution success. New exception pattern the AOPs don't cover. Anomalies surface before they become complaints.
04 / Compare
Cross-Customer Benchmarks
Anonymized performance from 882 enterprise shippers. How does your resolution rate compare to the network average?
Every decision makes the next decision better.
The compounding advantage that separates Loft from every DIY build and every horizontal agent platform. Loft does not just execute. It learns.
STEP_01
Data enters the Graph
Every shipment, facility visit, carrier interaction, global signal. {{loads}} million loads and growing.
STEP_02
Intelligence is derived
Lane distributions, carrier patterns, facility benchmarks, disruption taxonomies, resolution success rates.
STEP_03
Agents act on intelligence
Tracy, Sam, Alan, Cassie, Polly, Didi, Becca execute. 2.5 million actions per month.
STEP_04
Decisions feed back to the Graph
Full decision trace: inputs, intelligence, action, outcome.
Three Compounding Layers
The flywheel has an 11-year head start. A competitor can build an agent platform in months. They cannot build the flywheel in months.
Within a single customer
Your agents learn your patterns: which carriers respond to SMS vs. email, which facilities have tight dock windows, which lanes have the widest gap between planned and actual transit.
Across the FourKites network
Anonymized patterns from 882 shippers. New customers don't start from zero. They start with the collective intelligence of the entire network.
Across the intelligence layer
Global signals compound too. Agents that operated during January ice storms learned patterns that make the next winter storm response faster.
Enterprise-grade security. Full chain of custody. Your data stays yours.
Federated data architecture: your data is segregated from every other customer. Network intelligence is aggregated and anonymized. Customer data is never used to train third-party models.
One billion hours of operational work completed by AI agents over the next decade.
The supply chains that adopt autonomous execution in the next 24 months will define the competitive standard for the next decade. The ones that do not will spend that decade trying to catch up.
Ready? Talk to an Outcome Advisor
