Freight quote assistant
Collect origin, destination, cargo type, dimensions, weight, timing, and service requirements.
Start a ProjectLogistics companies can use AI agents to collect shipment details, prepare quote requests, answer approved service questions, and support customer update workflows.
Customers need clarity on routes, timing, shipment details, documents, tracking, pricing factors, and who to contact when something changes.
Start with quote intake and customer update preparation before connecting deeper operational systems.
Collect origin, destination, cargo type, dimensions, weight, timing, and service requirements.
Prepare approved status updates and collect customer questions for the operations team.
Request missing waybills, invoices, delivery notes, or customs documents where relevant.
We design agents around the small handoffs that happen every day: enquiries, reminders, document requests, summaries, and approvals.
The agent can gather the information needed before a quote is prepared.
The agent can recognize familiar account details if connected securely.
The agent can capture issue details and prepare a clean handover for operations.
The first version should be narrow, useful, and easy for your team to supervise. Once the workflow is trusted, it can be connected to more systems and more customer touchpoints.
AI agents should not guess, overpromise, expose private data, or replace professional judgement. We build the boundaries before we build the conversation.
The agent should not invent shipment status without trusted data.
Private shipment details should require appropriate verification.
Delays, claims, and exceptions need operations review.
It can collect shipment details and prepare the request. Pricing should remain controlled by the logistics team.
Yes, if connected to trusted tracking data with customer verification.
Yes. It can collect cleaner information and prepare summaries for dispatch, support, or account teams.