Logistics

Shipment exceptions, customs documents and cold chain: agents that decide the moment an event happens.

In logistics value hides in how fast an exception is spotted and solved: a late truck, a missing customs document, a temperature excursion. Aginies detects the exception with agents connected to TMS, WMS, customs and IoT systems, computes options, informs the customer; costly decisions stay with the operations manager.

In short

In Logistics, Aginies offers 3 live agent scenarios and 3 solution packages: Control tower: delay prediction, rerouting, customer notice, SLA, Shipment exception handling, Customs document preparation, Cold-chain excursion response, Where is my order? (WISMO); solutions: Operational automation & demand management, Field service & dispatch automation, Logistics control tower. The blockers on the way to production are Exceptions surface late, Customs document errors, Cold-chain visibility, Customer communication; on the compliance side 3 requirements (including Human approval on customs declarations and high-cost re-routing) are part of the deployment.

Why it does not reach production
01

Exceptions surface late

The delay is learned when the customer calls; there is no alternative plan.

02

Customs document errors

Documents are prepared by hand; one tariff-code error holds cargo for days.

03

Cold-chain visibility

Sensors exist, the decision process does not; who does what in an excursion is unclear.

04

Customer communication

The same information is asked through three channels; no proactive updates.

Where to start: the first 90 days

Three starting points; each measurable in a short pilot on existing systems.

  1. 01
    agent scenarioControl tower: delay prediction, rerouting, customer notice, SLA →

    Delay management sits at the centre of customer satisfaction and SLA cost; a fast pilot where telematics exists.

  2. 02
    agent scenarioShipment exception handling →

    The exception desk has high daily volume; the TMS integration alone is enough.

  3. 03
    agent scenarioCustoms document preparation →

    Document preparation is rule-based and time-critical; the declaration decision stays with the customs broker.

Scenarios

Agents you can watch live for this sector

LogisticsHITL

Control tower: delay prediction, rerouting, customer notice, SLA

The telematics signal catches the delay early; alternative route and carrier chosen, customer informed, SLA compensation computed.

96,000 runs / month 93.4% success 5 agents
LogisticsHITL

Shipment exception handling

When a delay or damage lands, impact is costed, the carrier rebooked and the customer hears before they ask.

12,800 runs / month 95.5% success 4 agents
LogisticsHITL

Customs document preparation

HS codes, invoice and packing list prepared in minutes; only low-confidence lines reach a customs specialist.

4,300 runs / month 94.7% success 4 agents
IoT & Connected DevicesHITL

Cold-chain excursion response

A temperature excursion is assessed instantly, product risk computed, a field crew dispatched, the quality decision recorded.

2,700 runs / month 97.4% success 4 agents
Retail & E-commerce

Where is my order? (WISMO)

Customer asks, order and carrier events join instantly; on delay a new ETA is given and a trace opened.

110,000 runs / month 98.1% success 4 agents
Sector architecture

Derived from the 3 scenarios in the sector: supervisors, specialist agents, Hub model families and systems touched.

Supervisors
Control Tower SupervisorShipment SupervisorCustoms Supervisor
Specialist agents
Prediction AgentRouting AgentCustomer AgentFinance AgentException AgentImpact AgentAction AgentTariff AgentDocument AgentBroker Agent
Models (Hub catalogue)
aginies-tulpar-4aginies-talay-2aginies-sunkar-1
Systems touched
TMSTelematicsCarrier APICustomer PortalERP BillingTMS (Transport Management)Salesforce CRMWhatsApp Business APISAP S/4HANAWMSTariff & Regulation Vector StoreCustoms Broker PortalDocument Store (S3)
Channels
apiemailwhatsappbatch
Simulation volumes
113,100runs / month
93.7%success rate
6.9 smedian duration
$0.0032estimated cost / run

Summed from the simulation definitions of the sector scenarios; recalculated for your scale in the discovery session.

Compliance and sovereignty
  • Human approval on customs declarations and high-cost re-routing
  • GDP-aligned cold-chain records and excursion documentation
  • Customer and shipment data inside the enterprise; every message recorded
Regulatory frame
  • Customs law: declaration and document preparation by the agent, declaration and signature with the authorised broker
  • GDP and cold-chain rules: temperature excursions documented, the decision with the quality officer
  • Personal-data law and customer contracts: shipment and consignee data inside the organisation, every customer message recorded
Security →

Guardrails, approval and the evidence ledger: the compatible product Thulpar ↗

Recommended deployment

Sovereign shared deployment; TMS, telematics and carrier APIs connected through an allowlist, shipment data stays in Türkiye.

Approval rules

Human-approval thresholds of the sector scenarios.

  • Control tower: delay prediction, rerouting, customer notice, SLARoute cost increase > 15% or compensation > 10,000 → operations manager approval
  • Shipment exception handlingExtra cost > 1,000 € → dispatch lead approval
  • Customs document preparationHS confidence < 0.90 or duty difference > 2,000 € → customs specialist approval
Measured targets
Delay detection leadHours ahead
On-time delivery+5–10 points
“Where is my shipment” calls50% fewer

Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.

Related solution packages

Time to move from experimenting with AI to transforming with it.

In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.

Book a 30-minute discovery session → dahi@aginies.com
  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis