AMABLE combines advanced proprietary machine learning with extensive real-time data—port congestion, weather patterns, and vessel tracking—to generate predictive arrival times that cut port fees, eliminate manual tracking, and prevent costly delays before they happen.
"Ocean freight visibility is broken."
Every day, thousands of logistics professionals spend hours manually tracking container shipments across fragmented systems. Carrier-provided ETAs are notoriously unreliable, often missing the mark by days or even weeks. This uncertainty cascades through entire supply chains—warehouse teams can't plan receiving schedules, transportation providers operate in the dark, and customers grow frustrated with vague delivery windows. The cost of this opacity is staggering: companies pay demurrage and detention fees when containers sit idle because they weren't prepared for actual arrivals.
Expedited shipping costs skyrocket when delays catch teams off guard. Customer relationships suffer when promised delivery dates slip repeatedly. And supply chain managers burn countless hours on manual tracking that adds little strategic value. The traditional approach of relying on carrier milestone updates and manual check-ins simply cannot keep pace with the complexity and volatility of modern global trade routes.
AMABLE was built to solve this problem at its root. By combining machine learning with comprehensive real-time data streams, we deliver the predictive visibility that modern supply chains demand. Our platform doesn't just track where your cargo is—it accurately predicts when it will arrive, giving you the foresight to plan proactively rather than react desperately. This shift from reactive to predictive operations transforms how organizations manage their global logistics.
Traditional ocean freight tracking relies on carrier-provided data that's often delayed, inaccurate, or simply unavailable. This creates a cascade of operational inefficiencies that compound across your entire supply chain network, affecting everything from warehouse operations to customer satisfaction.
When you don't know precisely when cargo will arrive, every downstream decision becomes a gamble. Warehouse staff are either idle waiting for shipments or overwhelmed when multiple containers arrive simultaneously without warning. Trucking appointments get missed, leading to costly rebooking and expedited fees. Inventory planning becomes guesswork, forcing companies to maintain expensive safety stock buffers that tie up working capital.
The problem isn't just financial—it's strategic. Without accurate visibility, supply chain teams spend their time on reactive firefighting instead of proactive optimization. Decision-makers lack the data foundation needed to identify systemic issues, negotiate better carrier contracts, or design more resilient logistics networks. This visibility gap represents a fundamental constraint on supply chain performance.
Our platform transforms fragmented shipping data into actionable predictive intelligence through a streamlined four-step process that integrates seamlessly with your existing operations and delivers value from day one.
Integrate your booking and shipment data through our API, EDI connections, or manual upload. AMABLE automatically syncs with your TMS, ERP, or freight management systems. Setup takes less than a day with our dedicated onboarding team guiding you through every step of the integration process.
Our platform continuously aggregates real-time data from over 90 ocean carriers, global port authorities, weather services, and vessel tracking systems. Each shipment is enriched with relevant contextual data points that influence arrival timing, creating a comprehensive view of factors affecting your cargo.
Proprietary machine learning models analyze historical patterns, current conditions, and route-specific variables to generate highly accurate predicted arrival times. Our algorithms continuously learn and improve from every shipment, becoming more precise with each voyage completed.
Receive proactive notifications when predictions change, delays are detected, or action is required. Custom alerts ensure the right people get the right information at the right time to make informed decisions and take corrective action before problems escalate.
AMABLE delivers comprehensive predictive visibility through a suite of integrated capabilities designed for complex global supply chain operations, from predictive ETAs to proactive exception management.
At the core of AMABLE is our predictive ETA engine—a sophisticated machine learning system that generates highly accurate arrival time predictions for ocean container shipments worldwide. This capability transforms how organizations plan and execute their supply chain operations.
Unlike carrier-provided ETAs that simply extrapolate from scheduled sailing times, our predictions incorporate real-world variables that actually impact arrival timing: port congestion levels, weather conditions along the route, vessel performance history, terminal operating patterns, and dozens of other dynamic factors that traditional tracking systems ignore.
Our models are continuously trained on millions of historical shipment records, allowing them to recognize patterns and correlations that would be impossible for humans to identify manually. The result is predictions that are typically accurate within a 4-hour window, compared to the multi-day variance common with traditional carrier-provided tracking information.
Port congestion is one of the most significant yet unpredictable variables affecting ocean freight timing. AMABLE provides real-time visibility into congestion conditions at major ports worldwide, enabling proactive planning rather than reactive scrambling when vessels approach their destination.
Our platform continuously monitors vessel queuing data, berth availability, terminal throughput rates, labor situations, and equipment availability across hundreds of port terminals globally. This data is synthesized into actionable congestion metrics and forecasts that directly feed into our ETA predictions.
Beyond current conditions, our predictive models forecast how congestion is likely to evolve based on incoming vessel schedules, seasonal patterns, and historical trends. This allows you to anticipate problems days or weeks before they impact your shipments and take proactive measures to mitigate their effects.
Weather conditions can dramatically impact ocean shipping schedules, yet most tracking systems treat weather as a black box. AMABLE integrates sophisticated weather modeling to quantify exactly how meteorological conditions will affect your shipments throughout their journey.
We ingest data from multiple weather services, satellite feeds, and maritime meteorological sources to build a comprehensive picture of conditions along every shipping route. Our models understand how different vessel types respond to various sea states, and how specific ports handle adverse weather conditions.
This isn't just about knowing there's a storm somewhere in the Pacific—it's about understanding precisely how that weather system will impact vessel speeds on specific routes, whether ports will implement weather holds, and how these factors compound to affect your cargo's arrival time.
In complex supply chains, exceptions are inevitable. What separates high-performing operations from struggling ones is how quickly those exceptions are identified and resolved. AMABLE transforms exception management from reactive firefighting to proactive risk mitigation.
Our platform continuously monitors all shipments against expected parameters, automatically detecting anomalies before they become critical problems. When we identify a potential delay, missed connection, or other exception, the right stakeholders are immediately notified with actionable context.
But notification is just the beginning. AMABLE provides exception impact analysis that quantifies downstream effects—which customer orders are affected, what inventory positions are at risk, and which contingency actions are available. This transforms exceptions from crises into managed situations.
Operational visibility solves today's problems, but strategic visibility transforms your supply chain for the long term. AMABLE's analytics suite converts your shipping data into actionable business intelligence that drives continuous improvement across your organization.
Our platform automatically aggregates shipment data to reveal patterns that would be impossible to identify manually: which carriers consistently meet their commitments, which routes have hidden reliability issues, which ports are becoming bottlenecks, and how your supply chain performance trends over time.
These insights power better decisions across your organization. Procurement teams can negotiate contracts with data-backed carrier performance metrics. Operations can optimize routing based on actual reliability data. Finance can more accurately forecast landed costs and working capital requirements.
AMABLE aggregates and synthesizes data from dozens of sources to build the most complete picture of your shipments and the factors affecting them, ensuring accurate predictions across all trade lanes.
Direct API integrations with over 90 ocean carriers provide real-time booking confirmations, vessel assignments, milestone events, and carrier-generated ETAs as baseline inputs to our prediction models.
Satellite and terrestrial AIS networks provide continuous vessel position data globally. We process millions of position reports daily to track vessel movements, speeds, and behavioral patterns.
Partnerships with port authorities and terminal operators provide unprecedented visibility into port operations, including berth availability, queue lengths, and operational constraints.
Integration with multiple weather services and maritime meteorological sources provides comprehensive coverage of conditions affecting shipping routes worldwide.
We integrate customs and trade compliance data to provide visibility into documentation holds, inspection queues, and clearance timelines that impact container availability.
Years of historical shipment data power our machine learning models, enabling pattern recognition that identifies how routes, carriers, and seasonal factors affect transit times.
At the heart of AMABLE is a suite of proprietary machine learning models specifically designed for ocean freight prediction. Unlike generic AI solutions adapted from other domains, our models are purpose-built to understand the unique dynamics of maritime logistics and global trade patterns.
Our data science team combines deep supply chain expertise with cutting-edge machine learning techniques. The result is prediction accuracy that consistently outperforms both carrier-provided ETAs and competing solutions in head-to-head comparisons across diverse trade lanes and shipping scenarios.
Models update continuously as new shipment data arrives, incorporating the latest patterns and improving accuracy with every voyage completed across our network.
Predictions incorporate dozens of variables simultaneously—weather, congestion, vessel performance, seasonal patterns—weighted appropriately for each unique shipment.
Separate models trained for different trade lanes account for regional variations in port operations, carrier behavior, and external factors that global models miss.
Every prediction includes confidence bounds that communicate reliability, helping you make appropriately risk-adjusted decisions based on prediction certainty.
AMABLE serves the diverse needs of organizations coordinating international ocean freight, from beneficial cargo owners to freight forwarders to third-party logistics providers.
Retailers, manufacturers, and importers shipping their own goods need visibility to optimize inventory management and customer service. AMABLE provides the predictive accuracy to reduce safety stock, improve warehouse scheduling, and deliver reliable delivery promises to end customers.
Whether you're managing seasonal inventory builds for retail, just-in-time components for manufacturing, or perishables requiring precise timing, AMABLE helps you plan with confidence rather than buffer for uncertainty.
Forwarders managing shipments for multiple customers face exponential complexity in tracking and communication. AMABLE automates visibility across your entire shipment portfolio, freeing your team from manual tracking while improving service quality.
Proactive exception alerts mean you learn about problems before your customers do, enabling you to manage issues gracefully rather than react to angry calls. Comprehensive analytics demonstrate your value-add and support customer retention.
3PLs orchestrating end-to-end supply chains need visibility that spans modes and partners. AMABLE's ocean visibility integrates with your broader transportation management to provide a complete picture of shipment status and expected timing.
Accurate ocean ETAs enable better planning of downstream drayage, warehouse operations, and inland transportation. The result is smoother operations, fewer expedites, and stronger customer relationships built on reliable service.
Non-vessel operating common carriers and consolidators coordinate complex multi-party shipments where visibility is essential for service quality. AMABLE provides the granular container-level tracking you need to manage diverse customer requirements.
Our platform handles the complexity of multiple bookings, transshipments, and carrier combinations, providing unified visibility regardless of routing. Automated customer notifications reduce your communication burden while improving service perception.
Everything you need to know about AMABLE's predictive visibility platform and how it can transform your supply chain operations.
AMABLE's predictions consistently outperform carrier-provided ETAs by a significant margin. In independent testing across thousands of shipments, our predictions achieved 94% accuracy within a 12-hour window, compared to approximately 45-55% accuracy for carrier ETAs within the same window.
This improvement stems from our multi-factor machine learning approach. While carriers primarily base ETAs on scheduled vessel times, our models incorporate real-time data about port congestion, weather conditions, vessel performance history, and dozens of other variables that actually influence arrival timing. Our algorithms also learn continuously from outcomes, improving accuracy over time.
Most customers are fully operational within 2-4 weeks of signing, with many seeing predictions for active shipments within the first week. Our implementation team has developed streamlined onboarding processes refined through hundreds of deployments.
The implementation timeline depends primarily on your data integration requirements. If you can provide booking and shipment data via our API or standard file formats, setup is straightforward. We also support EDI integrations and pre-built connectors for many common TMS and ERP systems.
AMABLE provides comprehensive coverage across the global ocean shipping network. We have direct data integrations with over 90 ocean carriers, covering more than 98% of global container capacity. This includes all major carriers (Maersk, MSC, CMA CGM, COSCO, Hapag-Lloyd, ONE, Evergreen, Yang Ming, HMM, and many others) as well as regional carriers serving specific trade lanes.
For port coverage, our platform tracks conditions at over 800 port terminals worldwide, including all major gateway ports in North America, Europe, Asia, and other regions.
AMABLE is designed to complement your existing technology stack, not replace it. We offer multiple integration pathways to fit your technical architecture and preferences.
Our REST API provides programmatic access to predictions, shipment status, alerts, and analytics data for integration with your TMS, ERP, WMS, or custom applications. We also support webhook-based notifications for real-time event streaming. For data ingestion, we accept shipment data via API, SFTP file transfers, EDI, or manual upload.
We take data security extremely seriously. AMABLE maintains SOC 2 Type II certification, demonstrating our commitment to security controls across availability, security, processing integrity, confidentiality, and privacy.
All data is encrypted both in transit (TLS 1.3) and at rest (AES-256). We maintain strict access controls with role-based permissions, multi-factor authentication, and comprehensive audit logging. Customer data is logically segregated, and we never share your shipment data with other customers or third parties.
Every AMABLE customer is assigned a dedicated Customer Success Manager who serves as your primary point of contact for strategic guidance, adoption support, and issue escalation. Our CSMs have deep supply chain expertise and understand how to maximize value from the platform.
For technical support, we offer multiple tiers depending on your needs. All customers have access to our knowledge base, email support, and scheduled support calls. Enterprise customers have access to 24/7 phone support and dedicated technical account managers.
AMABLE's predictions update continuously throughout each shipment's journey, becoming increasingly accurate as more real-time data becomes available. At booking confirmation, our models generate initial predictions based on historical patterns, scheduled services, and current conditions.
As the vessel departs and we begin receiving AIS position data, our predictions incorporate actual vessel performance on that voyage. Each prediction includes confidence intervals that communicate reliability—wider early in the voyage, tightening as the shipment approaches its destination.
Ready to transform your ocean freight visibility? Our team is here to understand your supply chain challenges and demonstrate how AMABLE can help you predict arrivals accurately, reduce costs, and operate more efficiently.
Complete the form to schedule a personalized demo, or reach out directly using the contact information below. We typically respond within one business day.
(816) 520-3959
hello@goamable.co
1165 Crocker St
Los Angeles, CA 90021