Port of Long Beach Supply Chain Information Highway – Real-Time Data Sharing Platform for Global Logistics

Recommendation: join the Port of Long Beach Supply Chain Information Highway by launching a real-time dashboard that links shippers, carriers, and cargo across multiple platforms for coordinated planning and execution.

Structure and funding: Establish a three-phase project with a louis-based consortium and regional government backing. A governor-supported steering committee, with Carranza as program lead, coordinates funding and policy alignment to ensure data access for companies a shippers across export and import flows.

Data governance and model: Adopt a unified data model to boost coordination across režimy (sea, rail, road, air). A standard data dictionary covers cargo status, vessel ETA, port congestion, and documentary requirements to accelerate export and import planning. Tři data streams feed the dashboard and ensure real-time updates for companies, shippers, and carriers.

Pilot rollout: Execute a three-pilot rollout to prove value, including amazon cargo streams, with corridors that cover strategic flows. Monitor ETA accuracy, dock dwell times, and alert responsiveness. This momentum helps secure additional funding and scales to other shippers from major corridors to regional networks.

Implementation steps: Build a cross-functional program team, adopt open APIs, and publish a public-private roadmap. Use a program-level dashboard that tracks three metrics: on-time arrivals, data latency, and user adoption. Promote coordination between ports, trucking, and rail partners, ensuring data sovereignty and privacy, and planning for contingencies. This approach keeps the governor‘s office engaged and attracts diverse funding sources.

Funding, Capabilities, and Expansion Plan for Cargo Visibility and Data Security

Adopt a three-track funding and governance model to deliver cargo visibility and data security across seaport, rail, and truck modes, with clear milestones and accountable leadership.

• Funding mix: grant funds, administration funds, and partner investments; create a matching pool to unlock private funds and keep operations agile. This approach yields faster results than relying on a single source.
• Governance: establish a joint steering group with input from shippers, carriers, ports, and the governor’s office, including Newsom’s administration, to set priorities and oversee risk management. Ensure Carranza’s planning office participates to synchronize with local actions.
• Startup sequencing: allocate 12–18 months for core platform enhancements, with a cargo visibility module going live at the Port of Long Beach within nine months and a data-security baseline in place for all partners.
• Data-sharing policy: define data-sharing terms, access levels, and privacy safeguards. Implement encryption in transit and at rest, tokenization where needed, and robust audit trails to support compliance and trust across these networks.

Capabilities and platform design

• Platform scope: a single data-sharing system integrating seaport, rail, and truck feeds, plus terminal operations, carrier manifests, and shippers’ planning data. These inputs fuel coordinated operations and better planning across partners.
• Visibility readings: real-time readings of cargo status, location, ETA, and dwell times, presented in role-based dashboards for administration, operations, and leadership teams.
• Security posture: role-based access, multi-factor authentication, baseline intrusion monitoring, and incident-response playbooks; regular third-party assessments to heighten resilience.
• Interoperability: open interfaces with partner platforms to support various data formats, allowing smooth joining by carriers, shippers, and logistics providers.
• Data governance: clear ownership, data lineage, retention rules, and data minimization principles to protect sensitive information while enabling useful insights for planning and coordination.
• Auditing and reporting: immutable logs and automated reports on data-sharing activity, access, and changes to support accountability across the system.
• Modes support: coverage across seaport, rail, and truck modes to reflect how cargo moves, enabling better coordination among each stakeholder group.
• Improvements path: ongoing enhancements to ingestion pipelines, user interfaces, and security controls to meet evolving needs without disrupting operations.
• Reading experience: intuitive dashboards and alerting that help readers quickly understand exceptions, bottlenecks, and opportunities for efficiency gains.

Expansion plan and timeline

1. Phase 1 – Pilot deployment: launch with a focused set of shippers, two rail partners, and three trucking firms near the seaport; validate data-sharing terms, secure access controls, and core analytics for cargo visibility.
2. Phase 2 – Broader onboarding: add more partners, expand to additional platforms, and implement enhanced security features; align with Carranza’s coordination initiatives and governor’s administration oversight to maintain momentum.
3. Phase 3 – Regional scale: extend to nearby ports and rail corridors, connect multiple governance entities, and introduce advanced enhancements such as predictive ETAs, congestion alerts, and cross-port planning modules.
4. Phase 4 – Sustained optimization: tune data feeds, refine risk-management workflows, and broaden the user base to include more shippers and small- to mid-sized providers, ensuring stability and quick response times.

Coordination and outcomes

• Partnerships: engage diverse partners to join the platform, including carriers, shippers, and port authorities, to share structures and benefits, building trust through transparent data-sharing policies.
• Security-first mindset: scale security controls in line with platform growth, protecting cargo data and operations while enabling faster readings and better planning.
• Governance alignment: synchronize with Newsom’s administration, the governor, and Carranza’s leadership to align funding cycles, policy updates, and performance expectations.
• Outcome focus: improve on-time performance, reduce dwell times, lower risk exposure, and provide clearer readings for executives and field operators alike.

Set up real-time data feeds: APIs, data formats, and latency targets

Implement a program director-led API strategy with a clear latency target and a funded plan. This role drives contract definitions, versioning, and platform alignment across shippers, rails, container operators, and the platform teams, while the office coordinates planning, funding, and appointment of key participants.

• APIs and streaming interfaces
  • Provide REST for configuration and state queries, plus streaming options for events via WebSocket or gRPC. This combination supports both on-demand checks and continuous feed ingestion.
  • Publish strict data contracts with versioned schemas, clear deprecation timelines, and an automated test suite. Include a glossary that connects each event type to its consumer role, such as container status, location, and shipment events.
  • Enforce authentication (OAuth 2.0 or mutual TLS) and fine‑grained authorization to protect sensitive data while enabling authorized partners, such as amazon and other shippers, to join securely.
• Data formats and contracts
  • Use a canonical envelope with fields like event_type, event_time (ISO 8601), source_id, container_id, and payload. Include a correlation_id for traceability across systems.
  • Adopt JSON for readability in external feeds and Avro or Protobuf for internal, high‑throughput pipelines. Maintain a Schema Registry or equivalent to enforce compatibility and versioning.
  • Minimize payload bloat by separating metadata (routing, lineage) from core payloads; compress payloads where feasible for bandwidth-limited links.
• Latency targets and performance
  • Critical operations (container movement alerts, status changes) aim for end-to-end latency under 200 ms in local networks, and under 1 second across regional routes such as rail corridors.
  • General event streams (shipment updates, yard activity) target 1–5 seconds end-to-end, with burst handling and backpressure support to prevent data loss.
  • Monitoring thresholds: maintain < 0.1% message loss, < 5% tail latency above target during peak periods, and < 99th percentile latency within stated goals.
• Platform and integration choices
  • Leverage cloud-native streaming platforms (e.g., managed services like Kinesis, Pub/Sub, or Event Hubs) and consider Kafka for on‑premise or hybrid deployments. Ensure cross‑region replication for resilience.
  • Containerize microservices for producers and consumers; use event-driven orchestration to decouple sources from analysis workloads. Plan joining of multiple data feeds into a unified backbone so operators can mix sources from shippers, rail, and terminals.
  • Design for scalability: autoscale ingest pipelines, partition feeds by region or data type, and implement idempotent processing to handle retries safely.
• Governance, security, and compliance
  • Define data ownership and accessibility in an appointment-based governance model; assign a governor-approved policy for data retention, redaction, and sharing with external platforms.
  • Implement encryption in transit and at rest, private networking between sources and processing hubs, and role-based access controls for internal teams and external partners such as shippers and retailers.
  • Establish a testing and certification process for new feeds, including a pre‑production sandbox and a continuous integration pipeline for contract changes.
• Operational planning and funding
  • Include a dedicated planning line in the program budget to cover API maintenance, schema evolution, and platform upgrades; allocate an amount for initial pilot feeds and future expansions.
  • Offer a grant‑based funding path to join the platform, with defined milestones, deliverables, and reporting to the office and to Newsoms guidance to promote transparency.
  • Align with regional initiatives and appointments, such as a program director’s upcoming appointment, to ensure sustained support from the governor’s office and related agencies.
• Implementation milestones and quick wins
  1. Catalog data sources across operations, including container movements, rail status, and yard activities.
  2. Publish initial real-time feeds for a core subset (containers, locations, basic shipment events) to validate latency targets and driver dashboards.
  3. Roll out a schema registry and versioned contracts; establish monitoring dashboards and alerting for latency and error budgets.
  4. Scale to additional feeds (temperature, velocity, portside events) and broaden the partner network, including key shippers and carriers.
• Outcomes to expect
  • Better visibility into end-to-end supply chains, with timely alerts and reliable data streams for planning, operations, and analytics.
  • A unified platform that supports joining data from multiple platforms and partners, enabling faster decision cycles and more accurate planning.
  • A documented, transparent funding and governance model that aligns with regulatory expectations and stakeholder needs.

Establish cargo visibility governance: access controls, roles, and data privacy

Implement role-based access control (RBAC) across all cargo visibility platforms and enforce least-privilege access by default. Define four core roles: viewer, operator, analyst, and director, each with a precise permission set to view, annotate, or export data.

Establish a cargo visibility governance board chaired by the director. Include representation from shippers, companies, offices, and partners across seaport and rail operations to approve joining requests and oversee data-sharing policies.

Appointment-based access: require formal appointment with defined duration, automatic recertification every 90 days, and revocation if the appointment ends or the role changes. Enforce strong authentication, device posture checks, and IP allowlists for access to your dashboard.

Data privacy and minimization: classify datasets by sensitivity, apply encryption in transit and at rest, and mask or tokenize sensitive fields. Limit data-sharing to approved contexts and require data-use agreements that specify retention, permitted recipients, and purposes.

Data lifecycle and governance metrics: maintain audit logs of access events for at least 12 months; report monthly on active appointments, access events, and data-sharing amounts. Use a dashboard to track indicators such as time-to-revocation, number of datasets shared, and policy violations.

Coordinate across multiple platforms to maintain consistent visibility across operations, including dashboard, seaport, transportation, and rail systems. This coordination ensures that beachs near the harbor still align with the same governance rules and that partners joining the initiative see a single source of truth.

Implementation steps and ownership: assign a director to lead oversight, define data categories, publish data-sharing agreements, and schedule quarterly reviews with office and partners. Include a defined appointment window and a process for escalation if access is misused.

Explain the 7.875M boost: budget split, milestones, and deliverables

Recommendation: Allocate the 7.875M as a phased 18‑month plan with a transparent budget split designed to deliver quick wins and sustained capability. The amount supports enhancements across long platforms, joining with partners, and expanding real-time visibility for the Port of Long Beach Supply Chain Information Highway. Budget breakdown: $3.15M for platform enhancements and integrations; $1.58M for security, governance, and access controls; $1.18M for data quality, visibility tools, and reporting; $1.18M for training and change management; $0.39M for contingency; and $0.39M for stakeholder engagement with the office and administration leadership, including the governor and newsoms administration. The project will be led by a dedicated director, coordinating with transportation partners and a louis-based security vendor, with inputs from amazon and other carriers. Your teams will see early gains in truck movement visibility and cross‑enterprise coordination.

Milestones: Month 1–3 finalize platform architecture, data models, and API specifications; Month 4–6 integrate core data feeds from partners and run a pilot with an initial fleet of trucks; Month 8–9 implement a security framework and RBAC; Month 12 widen to additional partners and louis-based offices; Month 15–18 complete full production rollout with dashboards, alerts, and governance reports. Each milestone yields artifacts such as architecture diagrams, API docs, test results, and training materials. The plan increases visibility into truck movements and load status, with coordination across the office, governor, and carranza’s team to ensure the project aligns with local needs.

Deliverables: Real-time data sharing module that surfaces visibility for transportation and truck movements; API specifications and a developer portal; secure, role‑based access control; partner onboarding portal; executive dashboards and alerting; data quality rules, lineage documentation, and QA reports; training kits and user guides; governance and compliance reports; final handover package with source code, deployment scripts, and security certification. This set of deliverables supports your teams, from the office to the field, and reflects input from the governor’s office and the newsoms administration. The director signs off on deliverables with support from a louis-based vendor and the project team, while maintaining steady collaboration with amazon and other partners.

Next steps: finalize funding governance with the administration, appoint the project director, and establish a monthly review cadence led by the governor’s office and newsoms administration. Set up a joint coordination group with transportation partners, amazon, and your truck fleets. The plan preserves transparency and accountability, supports long growth as the platform scales, and keeps carranza and the governor informed through regular updates from the office.

Onboard additional ports: integration steps, standards, and pilot timelines

Start with a two-port pilot anchored at the Port of Long Beach and the beaches corridor to test cross-port data sharing. Schedule a formal appointment window and lock a 12-week ramp for integration, including user acceptance checks and a control run. This move can increase transparency, shorten cycle times, and demonstrate the project’s value to administration, partners, and funds providers.

Define scope and standards up front: establish a common data model for shipments, trucks, vessels, ports, and appointments; align with cloud-based sharing and secure APIs; apply consistent identifiers and event formats suitable for the office and port systems. Use REST/JSON interfaces, OAuth2 security, and auditable logging to support these integrations while keeping cost predictable for your program and partners.

Outline concrete integration steps: include governance with administration and port authorities, these data-mapping activities, these API wiring tasks, these sandbox tests, and a live pilot with real loads. Establish role responsibilities for your organizations, and ensure the project plan covers data quality checks, incident response, and reading dashboards for ongoing visibility by partners and carrier fleets.

Set a pragmatic pilot timeline: Week 1–2 establish governance and security baselines, Week 3–4 finalize data model mappings, Week 5–6 implement API endpoints and cloud hosting, Week 7–9 conduct end-to-end tests with beachs and Long Beach operational teams, Week 10–12 run live shipments and monitor performance, Week 13–14 review results and decide on the onboarding of additional ports. This schedule keeps the program on track and provides a clear appointment cadence for reviews and approvals.

Budget and funding considerations: secure funds from administration and program funds to cover cloud hosting, security, and developer time. Prioritize enhancements that deliver measurable cost reductions, better data quality, and faster decision-making. Consider a funding plan that includes a phased investment, with a higher initial share for the pilot and a scalable approach for these expansions, including potential contributions from partners such as amazon and other companies.

Onboarding additional ports: extend the two-port learnings to a longer list of ports, prioritizing those with high cargo volumes and compatible systems. Use these initiatives to build a standardized onboarding package, including an appointment model, a shared data schema, and clearly defined success metrics. Align with the administration and port offices to accelerate implementation, and ensure the cloud-based system supports your port, your partners, and your customers for a faster, more transparent supply chain.

News and learning resources: subscribe for updates and access related articles

Subscribe for updates through the official Port of Long Beach Information Highway portal and access related articles in the Learning Center to stay current on real-time data sharing enhancements.

These resources include briefs from the governor and the security office, and notes from carranza and the director on funding, program milestones, and cost implications for a multi‑agency project. They explain the role of each stakeholder and how data sharing has increased efficiency for cargo and transportation workflows. The materials include tech summaries, platform comparisons across multiple platforms, and practical examples from amazon pilots and cross‑state coordination with utah. The uncomn system tagging helps classify nonstandard modules, while the dashboard provides visibility for operations, security, and compliance teams, and cloud‑based solutions support scalable analytics.

To access resources and subscribe for updates, visit the Learning Center, opt into topic streams such as security, cloud, and cargo routing, and ask for weekly or monthly digests. After signup you can book an appointment for live trainings, join webinars, and save related articles to your reading list for quick reference during inspections or reviews.

Actionable recommendations: configure your digest to highlight enhancements and funding notices, review case studies on cargo flows, and follow the director’s updates on project milestones. Use these insights to plan better staffing, shift patterns, and dashboard monitoring for your team, fostering faster support decisions and improved security posture across the office and partner networks.