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Debales Email AI Agent

Reads, classifies, and resolves logistics emails in seconds. Quote requests, ETA inquiries, POD delivery, claims — handled without a human touching the inbox.

Smart TriageAuto-ResponseTMS/ERP IntegrationSentiment Detection
Debales AI Composing Reply
Live
Priority inbox18 unread4 auto-routes live
EXCEPTIONDelay on Shipment #48219 - Carrier 30min lateEscalated
QUOTERFQ: CHI-LAX 42k lbs dry vanAuto-replied
PODDelivery Confirmation #7281Auto-replied
CLAIMDamage report - PO #99201Queued
Drafting response...Tone: calm + proactive
Hi Sarah, quick update on shipment #48219.

Current ETA has shifted to approximately 3:10 PM due to traffic on I-76. We are monitoring and will update if anything changes.
ETA updateEscalation noteCustomer-safe summary
1s
Avg. response
87%
Auto-resolve
20k+
Emails / mo
40+
Languages
How It Works

From input to outcome

Every action logged. Every decision explainable.

01

Inbound Capture

Connects to shared mailboxes. Every email ingested and parsed in real-time.

02

Intent Classification

NLP identifies type — RFQ, ETA, POD, claim — extracts entities (BOL#, PO#, lanes, weight).

03

System Lookup

Pulls live data from TMS, WMS, ERP, CRM to build full shipment context.

04

Auto-Response or Queue

High-confidence replies send instantly. Edge cases queue with pre-drafted reply.

Capabilities

Built for production freight ops

Smart Triage

Classifies by intent — quote, complaint, tracking, POD — routes to correct workflow.

Auto-Response

Context-aware replies using live shipment data, rate tables, customer history.

TMS/ERP Integration

REST API and EDI with Oracle TMS, MercuryGate, BluJay, TMW, McLeod.

Sentiment Detection

Detects urgency to escalate before SLA breaches.

Multi-Language

40+ languages with freight-specific glossaries.

Attachment Parsing

Extracts from PDFs, images (OCR), Excel — BOLs, rate confirmations, invoices.

Use Cases

How teams deploy this agent

01

Quote Automation

Extracts lane/weight/commodity from RFQ, fetches rates, sends quotes in <60s.

02

POD & Tracking

Sends POD and tracking links instantly. Resolves 90% of WISMF emails.

03

Claims Handling

Classifies claims, gathers docs from TMS, initiates workflow with full context.

FAQ

Your Questions. Answered.

Answers from our implementation team.

It uses models trained on freight-specific language to detect intent (RFQ, tracking, claims, appointments), extract lanes, weights, equipment, and references from threads and attachments—even when shippers forward long chains or omit standard fields.

We integrate via REST APIs and common EDI flows with platforms such as Oracle TMS, MercuryGate, BluJay, TMW, and McLeod. Typical connector work is scoped in days, not months, with your team approving field mappings.

Low-confidence items stay in a review queue with a drafted response, cited sources from your systems, and one-click approve or edit. High-confidence operational mail can send automatically per your policy.

Most teams plan two to four weeks: shared mailbox setup, TMS read access, tone and approval rules, then a supervised pilot on a subset of intents before full rollout.

Traffic uses TLS 1.3, data is encrypted at rest, and we maintain SOC 2 Type II controls. Your content is not used to train foundation models; you retain a full audit trail of classifications and sends.

Still have a question?

See Email AI running on your actual freight data.

Book a Demo →
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