In air cargo, slow responses lose bookings. ResAI helps airlines, GSAs and forwarders respond to booking requests instantly, qualify demand, validate capacity and guide each request through the right workflow before the customer moves to another provider. Turkish Technology transforms cargo sales operations from manual, inbox-driven work into an AI-powered virtual workforce. ResAI also brings intelligence across the wider logistics sales operation by connecting communication, orchestration, execution and operational analytics in one agentic platform.
ResAI is an agentic AI booking workforce designed to automate cargo booking workflows end to end, starting with email and extending to voice and other digital channels. It understands customer intent, extracts shipment details, checks capacity, applies pricing and approval rules, asks clarifying questions when information is missing and prepares quotes in seconds, while keeping humans in control whenever business rules require approval. Beyond booking, ResAI acts as a digital workforce that understands, decides, communicates and executes across fragmented transportation ecosystems.
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.
Responds to requests around the clock across time zones, reducing delays and missed opportunities.
Shortens quote and booking response cycles by automating intake, validation, routing and customer communication.
Reduces repetitive manual booking work and helps teams focus on complex cases, customer relationships and high-value selling.
Converts more booking requests by responding faster, improving quote consistency and reducing lost sales caused by delayed responses.
Protects revenue by improving pricing consistency, reducing lost-sales leakage and helping teams act before opportunities move to competitors.
Handles demand peaks without proportional increases in booking team workload.
Turns daily operational interactions into intelligence for route performance, carrier performance, customer behavior, disruption patterns and sales workflow improvement.
Provides workflow traceability, exception handling and governance for every automated decision.
Captures process knowledge, decisions, exceptions and operational patterns so expertise is retained and reused across teams.