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Industry

AI for Distribution and Logistics: Shipment Calls, Exceptions, and Paperwork

Distributors, 3PLs, and carriers field the same calls all day, chase drivers and carriers by phone, and match paperwork by hand. DPI deploys voice agents, communication automation, and document pipelines that connect to your TMS, WMS, and order systems.

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Who This Is For

Built for operations where every shipment generates a call

  • Distributors and 3PLs whose customer service lines are dominated by where-is-my-order and delivery window questions.
  • Dispatch and carrier teams confirming pickups, appointments, and delays by phone and email throughout the day.
  • Accounts payable and billing teams matching proofs of delivery, bills of lading, and carrier invoices to orders.
  • Operations leaders who want exceptions surfaced before the customer calls, not after.

Where AI Pays Off

Logistics workflows we automate

Shipment status and delivery calls

Voice agents authenticate the caller, look up the order in your TMS or WMS, give status and delivery windows, and log the interaction.

Carrier and driver communication

Pickup confirmations, appointment scheduling, check calls, and delay notifications handled by voice and message, with exceptions routed to dispatch.

Exception handling

Late, damaged, short, or misrouted shipments detected from system events and messages, customers informed proactively, and cases opened with the right owner.

Document matching

Proofs of delivery, bills of lading, and carrier invoices read, matched to orders and rates, and posted with discrepancies flagged for review.

Order and quote intake

Orders and quote requests arriving by email, portal, or phone captured into structured records and entered into your systems.

Customer self-service

Chat and WhatsApp assistants that answer status, returns, and scheduling questions from the same integrations.

The call volume behind every shipment

Each shipment generates calls and messages: the customer asking where it is, the carrier confirming the pickup, the driver reporting a delay, the receiver disputing a delivery, and accounts payable matching the paperwork afterwards. Service teams spend their day on questions your systems can already answer. AI moves that work to agents that read your TMS and WMS and act, while people handle the exceptions.

What we deploy

Voice agents that answer status and delivery questions after verifying the caller; outbound communication with carriers and drivers for confirmations, check calls, and delay notices; exception detection from system events and messages with proactive customer updates; document matching for proofs of delivery, bills of lading, and invoices; and order and quote intake from email, portals, and phone. Chat and WhatsApp assistants use the same integrations for self-service.

Integration and rollout

We connect to TMS, WMS, and order management through APIs, EDI, and portal exports, and to your phone system over SIP. Rollout starts with one call type or lane on live traffic and expands as each workflow meets its quality bar, so peak season arrives with a proven system rather than a pilot.

Measuring the result

Containment of status calls, carrier confirmation lead time, exception cycle time, document match rate, invoice discrepancy resolution time, and hours returned to service, dispatch, and billing, reported monthly.

How It Works

How a logistics deployment runs

  1. Call and exception analysis

    We classify a sample of calls, emails, and exceptions by type and volume and pick the workflows worth automating first.

  2. Integration design

    TMS, WMS, order management, telephony, and messaging connected; routing, authentication, and escalation rules defined.

  3. Pilot on one lane or one customer group

    Status calls for one customer group or carrier communication for one region, tuned on live traffic.

  4. Network-wide rollout

    Expansion by call type, lane, and document type with dashboards for containment, exception cycle time, and hours returned.

Stack & Integrations

Systems we connect to

TMS, WMS, and order management systems Carrier portals, EDI, and tracking APIs Your phone system over SIP WhatsApp Business API, SMS, Mailgun email Accounting and AP systems OpenAI, Anthropic Claude, AWS Bedrock, self-hosted models PostgreSQL, Redis

Engagement Models

Engagement models

Operations audit

Call mix, exception flow, and document volumes mapped, with the first deployment scoped and its metric defined.

Deployment

Fixed-scope delivery of the first workflow, from status answering to document matching, integrated with your systems.

Managed operations

Ongoing monitoring, tuning, new call types and document types, and monthly reporting on containment and cycle times.

FAQ

Questions from logistics teams

Can the AI answer where-is-my-order calls from our TMS?

Yes. The voice agent verifies the caller, looks up the shipment in your TMS or WMS, gives status and delivery windows, and hands off to a person when the case needs one, with the context attached.

Can it call drivers and carriers?

Yes. Outbound agents confirm pickups and appointments, run check calls, and notify about delays, following calling windows and consent rules. Exceptions go to dispatch.

How does document matching work?

Proofs of delivery, bills of lading, and invoices are read and matched to orders and rate agreements. Matches post automatically; discrepancies land in a review queue with the source pages attached.

Does it work with EDI and carrier portals?

We integrate through APIs, EDI feeds, portal exports, and email, whichever your carriers and customers use.

How do you handle peak season?

The agents scale with volume, so peaks do not degrade service levels. Rollout is staged so the system is proven before the busy period.

How fast can we start?

Status answering and carrier confirmations typically go live within weeks after the audit; document matching is staged by document type.

Related

Next Step

Bring one workflow. Leave with a production plan.

Tell us where calls, tickets, documents, or approvals pile up. We map the workflow, size the impact, and propose a deployment you can measure.

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