LOGISTICS & SUPPLY CHAIN
AI Voice Agent Development for Logistics & Supply Chain
Logistics & Supply Chain teams face a familiar wall: status calls and exception handling consuming operations teams. Phone and web voice agents that sound human and never sleep. Midalaxy builds it as a production system — integrated with your tools, measured against your metrics.
concurrent calls in production
What this looks like in logistics & supply chain
What gets automated in logistics & supply chain
- Shipment status enquiries
- Exception handling and reroutes
- Chasing proof of delivery
- Booking and quoting
SYSTEMS IT HAS TO MEET
- · TMS and WMS
- · carrier APIs
- · tracking and telematics
We integrate with what you already run rather than asking you to replace it.
WHAT MAKES THIS HARDER
Exceptions are the work. Automating only the happy path saves almost nothing, because the happy path was never what occupied the team.
What governs logistics & supply chain systems
Customs and trade documentation
Cross-border movements carry document requirements where an error stops a shipment rather than degrading a metric.
Driver hours and safety rules
Routing and scheduling constrained by regulation, not just by optimisation.
Proof of delivery and liability
The record is the commercial artefact — disputes are settled on it.
Where the data actually lives
- TMS and WMS hold the operational truth and often predate any API worth using.
- Carrier integrations each define a tracking event differently, so a unified status is a mapping exercise before it is a modelling one.
- Telematics is high-frequency and noisy; the useful signal is usually an aggregate rather than a reading.
- Exceptions are recorded inconsistently, in free text, by people under time pressure — which is exactly the data an exception model needs.
The numbers logistics & supply chain teams manage by
On-time delivery
The number customers hold you to and the one contracts reference.
Exception rate and cost
Exceptions consume the operations team, and they are where automation pays.
Cost per shipment
The measure that determines whether route or mode changes were worth making.
Status enquiry volume
Inbound "where is it" contacts are a direct measure of whether tracking is trusted.
How these projects fail in logistics & supply chain
Automating the happy path
The straightforward shipments were never the problem. Savings live entirely in the exceptions.
One carrier's data model
A system built around one integration usually needs restructuring for the second, because the event vocabulary does not transfer.
Optimising routes against stale constraints
A plan that ignores current capacity, hours or weather is rejected by the people executing it, and then ignored generally.
Predicting without acting
A delay prediction nobody is empowered to act on changes nothing. The intervention has to be designed with it.
Capabilities
- Inbound & outbound call automation
- Sub-500ms STT→LLM→TTS pipelines
- Multi-turn memory and role switching
- CRM, calendar and escalation workflows
Shipped, and measured
Frequently asked questions
How fast can an AI voice agent respond?
Our production pipelines respond in under 500 milliseconds end-to-end — fast enough that callers speak naturally, without the awkward pauses of typical bots.
Can the agent book appointments and update our CRM?
Yes. We wire post-call automation for CRM updates, appointment scheduling and human escalation, eliminating manual work on routine interactions.
How many calls can it handle at once?
The same architecture we build for clients sustains 10,000+ concurrent calls with a 99.9% uptime SLA, auto-scaling through traffic spikes.
Related
Voice Agents for logistics & supply chain — let's scope it
Tell us what you are building. We reply within one business day.