Logistics control tower
Operations agents that catch deviations early, reroute, inform the customer and compute the SLA.
Logistics control tower is an Aginies solution package for the Logistics sector in the “operational automation” area. What the agents do: Deviations predicted from telematics and carrier data; SLA impact computed per shipment; route, transfer and carrier options compared on cost; rebooking executed when inside the threshold. Expected outcomes: delays known and managed hours ahead; higher on-time delivery and better customer information; transparent, auditable SLA finance. The package uses the TMS & telematics tools, Carrier APIs, Supervisor · sub-agents, Human-in-the-loop capabilities of the Aginies platform and can be watched live through the Control tower: delay prediction, rerouting, customer notice, SLA, Shipment exception handling, Customs document preparation, Cold-chain excursion response scenarios in the agent library.
Delays are learned when the customer calls; alternative routes and carriers are chosen by hand, SLA compensation argued at month-end, customs documents prepared at the last minute.
- 01Deviations predicted from telematics and carrier data; SLA impact computed per shipment.
- 02Route, transfer and carrier options compared on cost; rebooking executed when inside the threshold.
- 03Consignee and shipper informed with the new ETA and options; cold-chain excursions handled by a separate protocol.
- 04Customs documents prepared from shipment data; SLA record, compensation and carrier recourse opened automatically.
- Early prediction of shipment deviations from telematics and carrier data
- Route and carrier alternatives, rebooking
- Customs document preparation and cold-chain excursion response
- Customer notices, SLA record and compensation calculation
- API access to TMS, telematics and carrier systems
- SLA contracts and compensation rules
- Customs and product requirements (cold-chain tolerances)
Derived from the linked scenarios: the supervisors, specialist agents, models and systems that run this package.
Summed from the simulation definitions of the linked scenarios; recalculated for your scale in the discovery session.
- Delays known and managed hours ahead
- Higher on-time delivery and better customer information
- Transparent, auditable SLA finance
| Delay detection lead | Hours ahead |
| On-time delivery | +5–10 points |
| Customer calls (where is my shipment) | 50% fewer |
Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.
Scenario-level approval rules plus the package’s general controls.
- 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
- Cold-chain excursion responseProduct transfer or disposal decision → quality manager approval
- packageCost increases and compensation above the threshold under operations-manager approval
- packageEvery routing decision recorded with cost and SLA impact
- 1 · Process map · 2 weeksSignal sources, decision points and work-order systems mapped; the automatic-decision boundary and approval chain defined.
- 2 · Pilot · 4 weeksOne line, one region or one process; the agent prepares the recommendation, a person applies it; deviation and gain measured.
- 3 · Autonomous operationDecisions below the threshold run automatically, above it go to approval; shift reports and SLA dashboards live.
This package’s scenarios in the agent library
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.
Shipment exception handling
When a delay or damage lands, impact is costed, the carrier rebooked and the customer hears before they ask.
Customs document preparation
HS codes, invoice and packing list prepared in minutes; only low-confidence lines reach a customs specialist.
Cold-chain excursion response
A temperature excursion is assessed instantly, product risk computed, a field crew dispatched, the quality decision recorded.
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.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis