Own the source code. Deploy autonomous agents. Eliminate vendor lock-in — across every warehouse, port, and distribution node in your network.
ibl.ai is a production-grade AI platform — not a consulting project, not a SaaS subscription. You receive the complete source code, deploy it on your own infrastructure, and run autonomous AI agents that monitor shipments, optimize routes, coordinate fulfillment, and enforce compliance without human intervention at every step.
With 1.6M+ users across 400,000+ organizations and partnerships with Google, Microsoft, and AWS, ibl.ai is proven at enterprise scale. Logistics and supply chain operators use it to replace fragile point solutions with a unified, model-agnostic agent platform that integrates with IoT sensors, TMS systems, ERPs, and customs APIs — all behind your firewall.
From C-TPAT compliance monitoring to real-time freight exception handling, ibl.ai agents reason, act, and execute across your entire supply chain. No chatbots. No black-box SaaS. No data leaving your perimeter. Just autonomous intelligence you fully own and control.
ibl.ai serves 1.6M+ users across 400+ organizations including NVIDIA, Kaplan, and Syracuse University. This is not a pilot framework — it is a hardened platform built for enterprise-grade workloads and multi-site logistics operations.
You receive the complete codebase at delivery. No SaaS dependency, no license renewal risk. Your team can audit, extend, and modify every line — from agent logic to API integrations with your TMS, WMS, or ERP systems.
Run on your own cloud, on-premise data centers, or fully air-gapped environments. ibl.ai operates with zero external dependencies, making it suitable for bonded warehouses, government freight contracts, and high-security distribution networks.
Use Claude, GPT-4, Gemini, Llama, Mistral, or your own fine-tuned models. Swap or combine models per use case — route optimization, document extraction, demand forecasting — without re-architecting your platform.
If you never call ibl.ai again after delivery, the system keeps running. No usage-based billing, no forced upgrades, no API keys that expire. Your logistics AI operates on your terms, indefinitely.
Every capability is accessible via RESTful APIs. Connect to IoT sensors, RFID systems, GPS trackers, customs portals, and carrier APIs through MCP (Model Context Protocol) — enabling agents to act on real-time operational data.
Agents continuously monitor shipment status across carriers, ports, and customs systems. When exceptions occur — delays, missing documentation, customs holds — agents autonomously reroute, notify stakeholders, update ETA records in the TMS, and escalate only when human judgment is required.
Agents query warehouse management systems, analyze demand signals, monitor reorder thresholds, and autonomously trigger purchase orders or transfer requests across distribution nodes — without waiting for a human to run a report or approve a routine replenishment.
Agents continuously audit shipment records, carrier certifications, and partner documentation against C-TPAT requirements and customs regulations. They flag non-compliant records, generate corrective action reports, and log every check with a full audit trail for CBP review.
Agents analyze inbound shipment volumes, historical throughput data, and labor availability to autonomously generate optimized shift schedules for warehouse teams. They adjust in real time when volumes spike, call-outs occur, or priority freight arrives unexpectedly.
Agents continuously score carrier performance across on-time delivery, damage rates, and cost metrics. They autonomously surface underperforming lanes, recommend contract renegotiations, and prepare RFQ documentation — turning weeks of analyst work into hours of autonomous execution.
Agents ingest POS data, market signals, seasonal patterns, and supplier lead times to autonomously generate rolling demand forecasts and supply plans. They update procurement recommendations daily and alert planners only when forecast confidence falls below defined thresholds.
Traditional chatbots answer questions. Autonomous AI agents take action, reason over context, and deliver measurable outcomes.
ibl.ai deploys autonomous AI agents that go beyond simple Q&A. Our agents reason, plan, and execute multi-step workflows while you retain full code ownership and infrastructure control.
ibl.ai runs entirely on your infrastructure — on-premise, private cloud, or air-gapped environments. There are zero external API calls, no cloud dependencies, and no data routing through ibl.ai servers. Ideal for bonded warehouses, government freight contracts, and high-security distribution networks.
No usage data, no operational metrics, no model inputs or outputs leave your perimeter. Your shipment data, carrier contracts, inventory levels, and compliance records remain exclusively within your environment — always.
Every agent action is logged with full traceability — what data was accessed, what decision was made, what action was executed, and when. Audit logs are queryable and exportable, supporting C-TPAT reviews, customs audits, and internal compliance investigations.
Multi-tenant architecture with granular role-based access. Warehouse managers, customs brokers, procurement teams, and executives each operate within defined permission boundaries — ensuring agents and users only access the data and systems relevant to their role.
Purpose-built multi-tenant architecture enables strict data isolation between distribution centers, business units, or customer accounts. Each site or entity operates in a fully isolated environment while sharing the same underlying platform infrastructure.
With full source code ownership, your security and compliance teams can audit exactly how agents make decisions, what data they access, and how actions are executed — critical for C-TPAT compliance, customs audits, and internal governance frameworks.
Your engineering team can modify agent workflows, add new integrations with proprietary TMS or WMS systems, build custom compliance rules, and extend the platform to match your exact operational requirements — no vendor approval required.
The codebase runs on AWS, Azure, GCP, on-premise servers, or air-gapped environments. You choose the infrastructure that meets your operational, regulatory, and cost requirements — and you can migrate without starting over.
No SaaS subscription means no surprise price increases, no feature gating, and no forced migrations. Your logistics AI platform is a capital asset — owned, not rented — with a total cost of ownership that improves over time.
If ibl.ai ceased to exist tomorrow, your platform keeps running. No license keys, no activation servers, no external dependencies. Your supply chain AI operates on your timeline, under your control, forever.
ibl.ai delivers the complete, production-ready platform codebase to your team. This includes the Agentic OS, all relevant agent frameworks, API integrations, and deployment documentation. You receive everything needed to run, audit, and extend the system — with no black boxes.
ibl.ai engineers work alongside your team to configure agents for your specific logistics workflows — connecting to your TMS, WMS, ERP, IoT infrastructure, and customs systems. We build and validate use cases together: exception management, compliance monitoring, demand forecasting, and workforce scheduling.
You deploy, operate, and own the platform on your infrastructure. Your team has the source code, the documentation, and the institutional knowledge to run, scale, and evolve the system independently. ibl.ai is available for ongoing support — but you never need us to keep the lights on.
Autonomous carrier performance monitoring and data-driven procurement agents identify underperforming lanes and optimize carrier selection, delivering measurable freight cost savings across the network.
Agents autonomously detect, triage, and resolve shipment exceptions — customs holds, delays, documentation gaps — reducing resolution cycles from days to hours and cutting demurrage and detention exposure.
Real-time inventory optimization agents reduce overstock and stockout incidents by continuously aligning replenishment with demand signals, cutting excess carrying costs across multi-site distribution networks.
AI-driven workforce scheduling agents optimize shift assignments based on real-time inbound volume forecasts, reducing unplanned overtime and improving dock-to-stock throughput efficiency.
Continuous automated compliance monitoring and complete audit trail logging reduce the manual effort required to prepare for C-TPAT reviews, customs audits, and internal governance assessments.
C-TPAT requires importers, carriers, and logistics providers to maintain documented security practices, partner vetting, and supply chain integrity controls across their entire network.
ibl.ai agents continuously monitor partner certifications, shipment documentation, and security protocol adherence against C-TPAT requirements. Every check is logged with a full audit trail, and agents automatically flag non-compliant records and generate corrective action documentation for CBP review.
U.S. Customs and Border Protection requires accurate, timely filing of import and export documentation through the Automated Commercial Environment (ACE) system, with strict penalties for errors and omissions.
Agents validate shipment records against CBP filing requirements before submission, flag discrepancies in HTS codes, valuation, and country-of-origin declarations, and maintain immutable logs of all compliance checks — all within your air-gapped environment with no data leaving your perimeter.
Logistics operators handling EU customer or partner data must ensure personal data is processed and stored in compliance with GDPR, including data residency, access controls, and breach notification requirements.
ibl.ai's air-gapped, on-premise deployment model ensures all data remains within your defined geographic and infrastructure boundaries. Zero telemetry, role-based access controls, and complete audit logging support GDPR compliance obligations without reliance on third-party SaaS data handling.
ISO 28000 provides a framework for security management systems across the supply chain, requiring organizations to identify threats, assess risks, and implement controls across logistics operations.
ibl.ai's autonomous agents provide continuous risk monitoring, anomaly detection, and incident logging aligned with ISO 28000 control requirements. Full source code ownership and air-gapped deployment support the infrastructure security requirements of the standard.
See how ibl.ai deploys autonomous AI agents you own and control — on your infrastructure, integrated with your systems.