Jan 2026 Release Notes
Act
· AI Disruption Navigator v2: Disruptions are now modelled as first-class, source-agnostic entities with unique IDs, versioning, and updated APIs, enabling faster, more scalable, and more flexible event management. Updates stream in near real time via webhooks, keeping Movement and API data instantly current, while smarter filtering shows only disruptions starting within a configurable future window to reduce noise. Coverage and accuracy have expanded across ports, cities, and airports, with tenant-adaptive criteria, AI models, and deterministic business overrides improving relevance. Linked exceptions now stay in sync as disruptions evolve, and an enhanced internal Toolshed view allows p44 teams to inspect disruptions, bulk-reprocess data, and monitor system health. This release establishes the modular, event-driven foundation for future AI innovations.
· Ocean Dwell Exceptions: We launched the Transshipment Port Dwell exception, enabling customers to quickly identify containers that are dwelling too long at transshipment ports. This new exception highlights potential operational and financial risks while providing timely movement details through the UI or API. With earlier visibility into at-risk shipments, customers can now take proactive action to manage downstream delays and costs.
· New Exceptions for Rail Customers: We launched the Bad Order and Diversion exceptions for rail customers, providing instant visibility into railcars that have been taken out of service due to mechanical issues ("bad order") or rerouted from their planned path ("diversion"). The exception surfaces these disruptions directly in Movement and via API so teams can quickly assess impacts, mitigate operational and financial risks, and avoid avoidable downstream costs. With earlier detection and clearer context, customers can take proactive action to keep their freight moving efficiently.
· Temperature Monitoring Exceptions: We launched Temperature Monitoring exceptions, giving customers early visibility into shipments that experience temperature excursions outside defined thresholds. This exception surfaces real-time alerts in Movement and via API, enabling teams to quickly identify at-risk cargo, assess potential quality or compliance impacts, and take corrective action. With faster detection and response, customers can reduce spoilage, claims, and downstream costs.
· Disruption and Exception Summary Emails for Shippers: We introduced weekly disruption and exception emails for our customers, delivering weekly and monthly snapshots of disruption and exception activity directly to users at a preset time. These summaries highlight the most critical issues across the disruptions funnel, helping teams quickly prioritize what needs attention and take action in Movement. By reducing manual monitoring and speeding up triage, this feature improves operational focus and overall efficiency, while driving more traffic to Movement.
· Analytics Enhancements for Ocean and Air: We delivered key enhancements for Ocean and Air Analytics, driven by direct customer feedback to make our analytics dashboards more actionable and decision-ready. Ocean Analytics now include improved roll rate calculations and visibility, helping teams better understand schedule reliability, identify root causes of delays, and optimize carrier performance, along with expanded customization options to match customer-specific workflows. For Air, enhanced milestone breakdowns and redefined performance metrics provide clearer understanding of transit performance, enabling faster diagnosis of issues and more confident, data-driven decisions.
· Document Filtering: Allow customers to filter by shipments that have/do not have specific documents associated with the shipment, so they can quickly find shipments that need missing paperwork or verification.
Automate
· Autopilot Phase 3: Read-Only Workflow Canvas: Consolidate the two autopilot UIs (internal-only and read-only) into a single UI and implementing the workflow canvas for easier understanding of workflow operations. With this change, customers can see that the automation can handle more advanced cases.
Connect
· OTM: Air D2D [SA Arkema France]: Enable Customers to initialize shipments for tracking and receive event and ETA updates back through our native OTM connector for Air & Ocean D2D
· Allow carriers to edit data in the platform [Constellation Brands, Carrier Global Corp]: Allow FTL carriers to edit Appointment Windows and ETAs in Movement. This will lead to higher data quality and lower burden for accurate data upon shipment creation. (Shipping Feb 13, 2026)
· Carrier Profiles - BE: Launch a carrier-facing profile + homepage experience for FTL carriers that replaces the current dashboard, leading to higher data quality outcomes. (Shipping Feb 20, 2026)
· Single/Limited Search for Prospects: Allow customers to quickly see if a single carrier is in the p44 network and onboard them, providing fewer barriers to onboarding. (Shipping Feb 13, 2026)
· Document Management and Parsing Part 1 [CNHi]: Deliver a Doc Parsing solution that lets customers and partners submit documents via UI or API, stores them against the shipment record, displays them in Movement/Visibility, and‚ where applicable‚ parses documents into structured data. This gives the customer a central repository per shipment, Ocean parsing automation for agreed doc types (BOL, Invoice, Packing List) and agreed fields, and operational integration. (Shipping Feb 6, 2026)
Data Science
· Error Correction v5 - improved baselines: Continuing to iterate on our proven modelling approach and to reach our OKR of 75%, we’ve adding additional training data and introducing enhanced hex cell features + improved error correction set up as the next baseline model.
· Multistop model - deployment: After testing and developing a working approach to improve multi-stop FTL shipments, we have launched for all customers.
· AI Newsfeed, Ocean ETA, Ocean Insights, FTL ETA Internal Analytics, RCA And others: The Data Engineering team continues to support data availability across all pillars and has actively partnered with all pillars across the organization to improve data and analytics.
Intelligent TMS
· Dynamic Routing guide - V2: Building on our auto-tendering capabilities, shippers can now configure spot backup carriers by lane. When contracted carriers reject a tender, shipments are automatically routed to the spot market without any manual intervention required.
· Adjustments on the contract rates for Dedicated fleet: Enables contract rate calculations for dedicated fleets based on mileage traveled, supporting rate-per-mile pricing in addition to existing linehaul plus fuel rates.
· LTL eBOL Update & Cancelation integration to ODFL: Enable shippers and 3PLs to electronically update or cancel LTL Bills of Lading, ensuring Old Dominion receives the most accurate shipment data and instructions before pickup.
Last Mile
· Custom Alert Triggers - Outbound shipment: Extend the self-service rules engine built for Custom Exceptions to support automated consumer alerts. Enables retailers to define conditions that trigger specific alerts based on shipment data
· Custom Alert Triggers - Inbound shipment: Extend the self-service rules engine built for Custom Exceptions to support automated consumer alerts. For Inbound shipments only.
See
· [PIR-3090] Rail & Intermodal Inclusion for D&D: Complete the NA D&D product by including Rail into D&D, which allows for accurate computation of all ocean import shipments to North America whether a direct port termination or an inland intermodal shipment. This will increase transparency with respect to international intermodal and NA surface rail shipments, and allow for more specificity with the Rail Inc sighting codes so customers can create more granular filters.
· [PIR-2755] Remove appointment window validation for FTL - Loosen shipment creation requirements to reflect real world scenario as carriers set appointment windows. This allows for more accurate shipment visibility and on time performance
· Ocean D2D completion logic update - Provide an option where customers can opt to complete a D2D shipment based on certain events such as Delivery instead of Empty return. This allows customer to manage their operations better as sometimes customers do not care about CER milestone.
YMS
· Mass Upload Asset: Customers can now upload large volumes of yard assets in bulk, significantly reducing manual setup and ongoing maintenance effort. This capability simplifies onboarding for large yards and keeps asset data up to date with minimal operational overhead. Teams can scale yard management faster without repetitive manual work.
· Capacity in Pieces: Appointments can now be booked using piece-level capacity in addition to trailer or load counts. This enables more accurate scheduling for high-volume facilities where piece count is a better reflection of true capacity usage. Customers gain tighter control over dock utilization and throughput planning.
· YMS Stabilization Phase 1 & 2:
o Phase 1: Delivered foundational reliability improvements by removing redundant processes, strengthening retry logic, and improving monitoring and triage workflows.
o Phase 2: Built on this foundation with deeper observability, enhanced operational tooling, and targeted architectural fixes to further improve system stability and reduce MTTR at scale.
· Trailer Task Update – Additional Fields: Trailer task payloads have been expanded with new fields to provide richer operational context and improve downstream integrations. These additions enable more accurate data exchange across systems and better visibility into trailer movements and task execution.
· Kiosk Weight Update – Tare Weight: Kiosk weight handling has been updated to correctly capture tare weight during gate check-in. This improves data accuracy for yard and transportation workflows while ensuring consistency with operational and reporting requirements.
· YMS – Arrival View Inspection Questions: Inspection questions are now surfaced directly within the Arrival View, giving operators immediate visibility into inspection context during the arrival workflow. This removes the need to switch views, speeds up processing at the gate, and reduces missed or incomplete inspections.
· Webhook Payload Enhancements: A new task_reference_1 field has been added to task webhook payloads to improve correlation with external systems and enable stronger automation. For our customers, this field now maps to shipment_no, allowing easier alignment between p44 tasks and downstream workflows.
· Inspection Form Edits: Users can now edit inspection forms after submission, reducing errors caused by simple mistakes during data entry. This enhancement eliminates the need for support intervention for common corrections and improves overall inspection data quality.
· Drive-by Inventory – Accuracy Improvements (Milestone 1 & 2): We delivered phased accuracy improvements to RFID-based drive-by inventory, addressing a key PIR for Whirlpool and Alcon while benefiting all RFID-enabled customers. Milestone 1 introduced signal-processing and logic enhancements to reduce false trailer locations, and Milestone 2 further improved accuracy, raising overall trailer location confidence to approximately 90 percent.
· Beko Stabilization Work: Completed targeted stability and performance improvements to better support Beko’s operational requirements, bringing to life p44’s first customer integration that spans from TMS to Visibility to Appointment Manager. These changes reduce production risk, improve system reliability and data synchronization, and ensure smoother execution at scale.
· Appointment Webhook Enhancements: Appointment webhook payloads have been expanded with additional fields to support richer downstream automation and reporting. These enhancements provide greater operational context and make it easier for customers to integrate appointment data into their internal systems.