MIXMOVE DIExecution VisibilityModule 03 of 07

See every shipment, and know what to do when one goes wrong.

One timeline per shipment, built from hub events, carrier scans, EDI messages and driver events. Predictive ETAs, condition monitoring and an AI assistant help teams find the cause of a delay and decide the next step.

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Execution Visibility

What it does

When shipment status is spread across carriers, hubs and drivers, the customer often finds out about a delay before the team does.

<div class="pf-rule-wrap" aria-hidden="true"><div class="pf-rule-line pf-cut"><div class="pf-rule pf-cut"><div class="pf-fh"><span class="pf-fi pf-fi--di"><svg class="ph"><use href="#ph-path"/></svg></span>Shipment SHP-55120 · Lyon → Graz<span class="pf-tag pf-tag--di">MIXMOVE&nbsp;DI</span></div><ul class="pf-rule__in"><li>Hub events</li><li>Carrier scans</li><li>EDI messages</li><li>Driver events</li><li>Sensors</li></ul><div class="pf-rule__node"><span class="pf-ptile pf-ptile--di pf-cut"><svg class="ph"><use href="#ph-path"/></svg></span><div><b>One timeline</b><span>per shipment, live</span></div></div><ul class="pf-rule__out"><li class="pf-rule__o"><b>On track</b><span>3 consignments</span></li><li class="pf-rule__o pf-is-on pf-is-warn"><b>Delay predicted</b><span>+45 min · act before the customer asks</span></li></ul></div></div></div>

In the module

Key capabilities

    1. Shipment and consignment tracking

      • One timeline per shipment, combining hub events, carrier scans, EDI messages, driver events and third-party data
      • Visibility of how shipments are consolidated and deconsolidated across consignments and hubs, including loading units and cross-dock operations
      • Standard and configurable milestones: pickup, hub in and out, handover, delivery
      • Predictive ETAs and delay metrics based on historical and real-time signals

    2. Condition and compliance monitoring

      • Temperature and condition data where available, including cold chain monitoring and alerts for sensitive freight
      • Condition data correlated with routes, hubs and carriers
      • Evidence for service-level and compliance discussions with customers and partners

    3. Distributed inventory visibility

      • Inventory view across hubs, built from movement events and stock snapshots
      • Support for planning and balancing decisions
      • Inventory state linked to service performance and capacity usage

    4. AI-assisted incident analysis

      • Assistant for root-cause analysis of delays and incidents
      • What-if questions about routes, hubs and carriers
      • Natural-language queries across shipments, consignments and inventory
      • Likely causes, impacts and recommended next actions for each exception

    path, certificate, globe-hemisphere-west, sparkle

    Roles

    Who uses it

    • Control tower and customer service teams

    • Planners and capacity planners

    • Operations managers and continuous improvement teams

    broadcast, calendar-check, chart-line-up

    Outcomes

    Business value

    What changes when every shipment has one live record.

    1. One view across a multi-party flow

      Carriers, hubs, drivers and partners feed the same timeline, so nobody works from a different version of the status.

    2. Faster response to incidents, and clearer communication

      Likely causes and next actions are surfaced as exceptions happen, so teams act while there is still time to protect the customer.

    3. A basis for premium visibility and compliance services

      Condition data and event history give customers evidence they can check.

    Solutions

    Powers this solution

    See Execution Visibility on your own flows.

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