AI Assistant for Logistics
    Our Solutions

    AI Assistant for Logistics Operations

    Automating Calls, Updates, and Order Registration

    An AI-powered assistant that reduces manual coordination, so operations teams spend less time on routine tasks and more time on decisions that matter.

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    Why This Matters

    Logistics Coordination Is Still Manual

    Japan's logistics digitalization remains limited—phone, FAX, and paper are still common for coordination between shippers and logistics operators. This manual structure increases operational friction and slows decision-making.

    Source: MLIT

    Industry Constraints Increase Urgency

    Without sufficient countermeasures, transport capacity could be short by ~14% soon and ~34% by FY2030. The industry must increase productivity per truck and per dispatcher-hour—automation becomes essential.

    Source: MLIT

    Non-Driving Time Is A Bottleneck

    While average 拘束時間 decreased, waiting and handling time remains largely flat. The operational mix includes substantial non-driving activities—improving logistics requires execution efficiency, not only routing.

    Source: MLIT

    Problems We Solve

    3hrs
    1

    Too Many Calls and Follow-Ups

    Dispatchers spend large amounts of time calling drivers, partner carriers, and shipping/receiving locations to confirm availability, ETAs, changes, and exceptions. This creates delays and inconsistency.

    ?NO REAL-TIME VIEW
    2

    Manual Status Updates Create Blind Spots

    When updates are handled manually (phone/email), status becomes fragmented. Teams lose real-time visibility and cannot manage exceptions quickly.

    MANUAL ENTRY ERRORS
    3

    Order Registration Is Repetitive and Error-Prone

    Order details are often copied across systems and documents. Manual entry increases mistakes and prevents clean historical data.

    ABC
    4

    Collaboration Requires Heavy Coordination

    Even when companies want to collaborate, joint operations break down because communication overhead rises (confirmations, updates, handoffs), making it hard to scale.

    ?NO STRUCTURED DATA
    5

    Lack of Structured Data for Improvement

    If operational actions are not logged in structured form, it becomes difficult to analyze where time is being lost and which processes should be optimized first.

    Our Solution

    What Logistical's AI Assistant Automates

    The AI assistant handles routine operational tasks that currently require dispatcher time, enabling faster execution with fewer manual steps.

    A

    Calls and Confirmations

    • Confirm truck availability / arrival windows
    • Confirm pickup/delivery readiness
    • Confirm changes, delays, and rescheduling
    • Follow up automatically if no response
    B

    Real-Time Updates

    • Send status updates to stakeholders at key milestones
    • Share ETA changes and exception alerts
    • Standardize event updates (so everyone sees the same status)
    C

    Order Registration and Data Structuring

    • Register orders from structured forms or operational inputs
    • Normalize key fields (time window, route, volume, constraints)
    • Create searchable history for analysis and reporting
    D

    Exception Handling (Escalation)

    • Detect issues (late arrival, missed confirmation, mismatch)
    • Route exceptions to the right person
    • Maintain an auditable timeline of what happened

    What This Enables

    FAST

    Faster Execution With Less Manual Work

    Automating routine coordination reduces the communication burden that slows daily operations. This is especially important in a market where productivity improvements are required under current capacity constraints.

    AI

    More Reliable Collaboration

    When coordination is systemized, joint delivery and partner operations become more scalable. Manual handoffs no longer block execution.

    INSIGHTS

    Better Visibility for Decision-Making

    Structured data from daily operations creates the foundation for identifying inefficiencies, improving future planning, and supporting continuous improvement.

    Typical Starting Point

    Teams start with one or two automation categories (e.g., confirmation calls, status updates), then expand as the system proves value and builds operational trust.

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    Frequently Asked Questions

    What is the AI logistics assistant?+

    A tool that uses AI to support and automate logistics tasks such as dispatching and outbound calls, reducing staff workload and improving efficiency.

    Can it automate dispatching?+

    Yes. It supports optimized dispatch planning to automate and streamline the dispatching workflow.

    Can it integrate with our existing TMS?+

    Integration depends on your setup. Please discuss specifics with us during a demo.

    Get In Touch

    Contact Us Today

    Have questions about our Logistical solutions? Reach out to our team and let's discuss how we can optimize your logistics cost.

    Shakhboz Khayrilloev

    Shakhboz (Shaha) Khayrilloev

    CEO and Co-Founder