AI-Based Cargo Reservation

Reads incoming booking requests, extracts shipment details, understands intent and moves each request through the right workflow.

Handles requests and operational inputs from email, web portals, EDI/messaging, voice/calls, spreadsheets, attachments and internal/manual entries.

Combines intent understanding, entity extraction, context understanding, multilingual processing, classification/prioritization and sentiment/tone detection to interpret each request accurately.

Checks available capacity, routing constraints and pricing rules to generate accurate, policy-compliant quotes.

Uses workflow orchestration, a decision engine, task management and human-in-the-loop controls to route every case to the right automated or manual path.

Executes system actions, booking steps, quote/pricing actions and customer communications across connected systems and channels

Interacts with customers to collect missing details, clarify requirements and suggest relevant service options.

Provides customer intelligence, pricing intelligence, lost-sales analytics, route intelligence, carrier performance, operational analytics, disruption intelligence and knowledge-graph-based learning.

Enables business teams to design and adjust agentic booking workflows visually, reducing dependency on engineering teams.

Supports agent workspaces, escalations, approvals and notifications so teams can supervise, intervene and collaborate when business rules require it.

Defines approval thresholds, red lines and exception paths so teams stay in control of critical decisions.

Connects with cargo management systems, pricing tools, capacity systems and existing logistics platforms to prevent data silos.

Integrates with CMS platforms, TMS/ERP systems, carrier systems, customs/regulatory systems, financial systems, communication platforms and other third-party services.