AI agents that call drivers, notify recipients, confirm deliveries, and handle status inquiries — 24/7, in 30+ languages, integrated directly with your TMS.
Industry estimate: logistics dispatchers spend 35–45% of working hours on routine status calls and confirmations
Logistics operations teams using Vociply reduce dispatcher time spent on routine communication by over 60% within 30 days of deployment
Logistics operations run on communication — and the volume is relentless. Dispatchers confirm load assignments, follow up on late pickups, coordinate delivery windows with consignees, handle proof-of-delivery disputes, and answer a constant stream of driver and customer status inquiries. At scale, this communication burden consumes your most experienced operational staff on work that is entirely predictable and repeatable. A driver dispatch confirmation follows the same structure every time. A delivery window call is the same call, repeated 10,000 times daily. A status inquiry could be answered by a database query. Yet most logistics operations staff these functions with humans — at significant cost, with coverage gaps overnight and on weekends, and with inevitable errors when volume exceeds capacity. Vociply deploys AI voice agents trained on logistics workflows. They integrate with your TMS and order management systems, communicate with drivers and consignees in real time, and handle the routine communication workload that consumes your team's day — freeing your operations staff to focus on exception handling, carrier relationships, and the complex orchestration that genuinely requires human expertise.
35–45%
Dispatcher time on routine calls
Status, confirmations, and check-ins that follow identical patterns every time
$150–250
Cost of missed delivery windows
Per failed delivery attempt — redelivery, consignee rebooking, carrier penalty costs
12+ hrs
Overnight / weekend coverage gap
Hours per day with reduced staffing and delayed communication response
When a load is assigned in your TMS, Vociply automatically calls the driver to confirm: load number, pickup location, ready time, delivery window, and special instructions. Driver acceptance or questions are handled conversationally. Confirmation logged back to your TMS within seconds.
Outbound calls to consignees notify them of their delivery window 24 hours and 2 hours ahead. Calls capture confirmation, rescheduling requests, and access instructions. Responses update your delivery management system automatically — eliminating failed first-attempt deliveries.
Automated check-in calls to drivers at configurable intervals — departure confirmation, loading completion, en-route check-in, and ETA updates. Captures location status and exceptions. Visibility data flows to your TMS without dispatcher involvement.
After delivery, the AI calls the consignee to confirm receipt, capture verbal acknowledgment, and flag any delivery exceptions. POD data — timestamp, confirming contact, and notes — logs directly to your system of record.
Customers and consignees call for shipment status. The AI authenticates by order or tracking number, queries your TMS for real-time status, and provides a precise update — current location, ETA, and any active exceptions. No human dispatcher required.
When a delay, mechanical issue, or delivery exception occurs, the AI proactively calls affected parties — shipper, consignee, and next-stop contacts — with accurate status updates and revised ETAs. Exceptions that require escalation are routed to operations staff with full context.
Freight doesn't stop at 5 PM. Vociply's AI agents operate continuously — nights, weekends, and holidays — without overtime costs or coverage gaps. A 3 AM driver question or a Sunday delivery confirmation is handled with the same speed and accuracy as a Monday morning call.
Pre-built integrations with Oracle Transportation Management, SAP TM, BluJay, McLeod, and custom TMS platforms via REST API. Agents read and write to your TMS in real time — not a separate data silo. Load assignments, delivery confirmations, and exception logs appear in your system of record automatically.
The average logistics dispatcher handling routine communication costs $55–65K annually before benefits and management overhead. At 10,000 shipments per month, routine call automation with Vociply costs a fraction of a single FTE — with unlimited capacity and zero attrition.
Load management, carrier assignment, and exception tracking
Freight order management and carrier communications
TMS and freight brokerage platform integration
Global trade and transport management
Real-time visibility platform — ETA and location data
Customer communication logging and case management
Vociply has pre-built connectors for Oracle TM, SAP TM, McLeod, and BluJay. For custom TMS platforms, the integration layer uses REST APIs and webhooks. Most TMS integrations are live within 5–10 business days. Your TMS data remains the system of record — Vociply writes outcomes back to it in real time.
Yes. Vociply supports 30+ languages with automatic detection. For fleets with drivers speaking Spanish, Portuguese, Mandarin, or other languages, the agent responds natively — no language selection required. Critical for carriers operating across diverse driver pools or international lanes.
The agent is configured to handle common driver questions — load details, rate confirmation, facility instructions, and appointment windows. Questions outside its scope are escalated to a live dispatcher with the full call context. The AI handles what it can and flags exceptions immediately.
Yes. Outbound campaigns are triggered by delivery schedule changes in your TMS. The AI calls consignees at configurable intervals — 24 hours, 2 hours, and 30 minutes before the window. Responses (confirm, reschedule, access instructions) are captured and synced back to your system before the driver departs.
Vociply scales horizontally without capacity constraints. Whether you handle 500 or 50,000 shipments in a given day, the AI handles all routine communication workload without staffing changes. Peak-period capacity planning is no longer a logistics problem — it's handled at the infrastructure level.
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