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Shipment queries resolved around the clock

Your customer wants to know where the shipment is — and whether it's going to miss the dock slot they care about. reads your transport systems and carrier feeds, answers status questions before they become phone calls, and flags slips before they become penalties.

JV
Jan de Vries07:45

Where is shipment TRK-29481

It was supposed to arrive yesterday. Can you provide an update on the delivery?

sent tracking update with new ETA22s
KW
Katrin Weber08:30

Proof of delivery for SHP-44210

Our warehouse says the delivery arrived but we need the signed POD for our records.

sent signed POD with delivery timestamp16s
MB
Marco Bianchi09:12

Reschedule delivery for order FR-8812

Our receiving dock is full on Thursday. Can we move the delivery to Friday morning?

sent rescheduled delivery confirmation31s

Shipment conversations resolved across carriers

Logistics customer service still operates from email. Pickup confirmations, rate requests, tracking enquiries, customs documentation, load tenders — they all flow through threads that never quite catch up, with reply times often eight to twelve hours when customers expect under an hour. AI has been deployed widely across logistics in the back office — appointment scheduling, driver follow-up, warehouse coordination — but most customer-facing surfaces are still tracking chatbots that can read where a shipment is without doing anything about where it's going next. Most carrier and customs systems expose rich read endpoints and thin write endpoints, which is what makes the chatbot-to-action gap so persistent.

oHallo is built to run that work. The platform reads your transport management, your carrier feeds, and your customs broker portals together — and the reply that lands resolves the question and triggers the action, whether that's a delivery reschedule, a proof-of-delivery retrieval, a carrier-exception explanation, or a customs status clarification. Every action is validated against your delivery policies and customer SLA tier before it goes out, and the audit trail behind every conversation is available to your operations team in real time.

The conversations a logistics customer service team handles every day

Shipment tracking and delivery status

Live status pulled from every carrier in the journey, reconciled into one answer for the customer.

Proof of delivery requests

Signed POD retrieved and sent, with the timestamp, recipient details, and any exception notes attached.

Delivery rescheduling and address changes

Booked with the carrier, honoured against the customer's SLA tier, confirmed back in the same thread.

Carrier exceptions and delay updates

The exception code translated into plain language, the actual next action surfaced, the customer kept informed.

Customs clearance status and queries

Held container status, HS-code questions, and duty implications explained without bouncing to the broker.

The resolution process

Tracking enquiry received

Customer asks for an update on shipment TRK-29481

Request analysed

Intent classified as shipment tracking enquiry with reference

Policies and knowledge base checked

Delivery communication and human-review policies verified

Transport systems queried

TMS: shipment status and carrier updates. Customs: clearance status

Reply composed

Cleared customs in Rotterdam at 14:22, estimated delivery tomorrow 09:00 to 12:00

Validated and sent

Checked against delivery policies, verified against live tracking data, sent from your address

Yourarelyloseacustomerbecauseofhowyouship.Youlosethembecauseofhowyoucommunicate.changesthat.

Autonomous customer operations for logistics

Connect your TMS and let your shipment queries resolve themselves from day one