AI Document-to-Form automation engine

Development of a universal microservice for automated data extraction from unstructured documents (PDFs, scans, photos) and automated form filling for logistics and ERP systems

Domains:
Transportation & Logistics / Supply Chain Operations
Type:
Microservice, self-hosted

Application areas

The AutoConfirm Engine is designed to eliminate the high risk and operational costs associated with manual booking verifications across multiple high-stakes verticals. In Passenger Transport, it automatically confirms intent for cash-on-delivery trips to prevent "no-shows." Beyond core logistics, the engine is highly adaptable and for Healthcare & Medical applications, such as managing patient appointment reminders and pre-operative instruction verification to optimize clinic scheduling

Pain points

  • Bookings without prepayment create high risks for intercity shuttle buses and ferries
  • High-volume manual calling distracts staff from core tasks and reduce service quality
  • Late cancellations or missed slots lead to inefficient scheduling, and expensive infrastructure

Solutions

  • Voice-Loop Automation: Seamlessly converts booking events into natural voice dialogues using STT, TTS, and LLM processing
  • Real-Time Intent Processing: The system doesn't just "play a recording"; it understands customer answers, extracts parameters, and makes decisions
  • SIP/WebRTC Integration: Connects directly to existing telephony infrastructure

Product description

The product was engineered as a high-performance "Voice-to-Intent" engine designed to close the gap between rigid IVR systems and human-like conversational intelligence. Unlike generic voice bots, our implementation follows a specialized reference architecture that creates a real-time feedback loop: Speech-to-Text (STT) converts the client's voice, a Large Language Model (LLM) determines the intent, and Text-to-Speech (TTS) responds naturally.

The core logic focuses on the "Script-Call-Result" pipeline: generating personalized scenarios based on booking data, executing the call via a SIP Gateway, and outputting a unified JSON result. Built as a self-hosted microservice, the engine ensures that sensitive customer data and voice recordings remain within the company's private cloud or on-premise infrastructure, meeting the highest regulatory compliance standards.

Core product highlights

01
Self-hosted voice engine ensuring total data sovereignty and regulatory compliance
02
Reference architecture powered by adapter-based STT, LLM, and TTS models
03
Purpose-built for logistics, specifically optimized for transportation
04
Dynamic Script Generation using variables like route, date, and booking ID for personalized UX
05
Unified JSON output providing structured intent data (confirmation, rescheduling, cancellation)
06
Agnostic LLM Support allowing the use of local or proprietary models to avoid SaaS lock-in

Values

A universal self-hosted microservice that transforms manual calling into structured, actionable data

  1. Eliminates the human factor and time-zone constraints in customer communication
  2. Reduction in missed slots and underloaded transport through proactive confirmation
  3. Automates up to 90% of routine verification calls, freeing up the operator team
  4. Operates within your secure perimeter (On-premise) without exposing customer phone data to third-party clouds
two smiling men are sitting at the table with laptops

Scale your operations with AI

By submitting this form I confirm that I have read and accepted the Privacy Policy