At the beginning of 2025, one of Ukraine’s leading logistics companies approached MIM:AGENCY, a strategic marketing agency. The company faced a challenge common to the industry: a significant increase in cargo volume led to overwhelmed branch operators, decreased accuracy in handling waybills, and slower overall shipment processing.


Every day, thousands of waybills and accompanying documents passed through the hands of employees, each requiring manual entry, validation, and input into internal systems.

The most problematic processes included:

  • Manual completion of shipment forms;
  • Data verification based on paper documents;
  • Customer notifications about delivery status.

What the company wanted to achieve:

  • Reduce customer service time in branch offices;
  • Minimize human error in financial and transport documents;
  • Improve the speed and accuracy of delivery status updates for both sender and recipient.

Common Pre-Automation Challenges

  • Manual entry and verification consumed a large amount of time per document.
  • High risk of errors in numbers, currencies, and addresses, especially when data was transferred from paper or image-based documents.
  • Non-standard formats of waybills from partner carriers meant operators had to adapt data manually to internal systems.
  • Delivery status updates were delayed by 1-2 hours after the actual event.
  • Lack of a unified digital core for synchronization between warehouses, branch offices, and the client-facing CRM.

The MIM:AGENCY Solution – An AI-Based Document Automation System

The MIM:AGENCY team developed an integrated AI-powered document processing system that includes:

  • OCR module for recognizing text from scanned documents, PDFs, and photos;
  • Machine learning algorithms for analyzing non-standard document structures;
  • Validation modules to check data logic – matching currencies to countries, verifying tax codes, addresses, and amounts;
  • Automatic waybill generation based on incoming documents, with editing options for operators;
  • Push/SMS/email notifications about delivery status updates in real time;
  • Synchronization with PIM and CRM to retain client history and avoid data duplication.

What Was Implemented:

  • Instant recognition of waybill fields – from shipment number to cargo type, recipient name, value, VAT, delivery method, and comments.
  • Context-based comparison with previous shipments – the system suggests templates or flags discrepancies.
  • Automatic QR and barcode generation for package labeling.
  • A flexible operator interface for quick verification or adjustments to pre-filled forms.
  • API integration with messengers and Viber bot, allowing clients to receive status updates via their preferred channels.

Results After 3 Months of Implementation

MetricBefore AutomationAfter Automation
Document error rate5–7%<0.4%
Operator workload100%~45%
Delivery status update speedUp to 1 hourReal-time
Documents processed per operator/dayUp to 100Up to 250

Impact

  • Lower workload for staff without reducing headcount
  • Increased accuracy in financial documents and fewer correction reports
  • Improved customer experience through faster and clearer delivery communication
  • Scalability-ready – the system can handle up to 1 million documents/month without losing performance
  • Transparency and flexibility for management – instant reporting, workload tracking, and real-time analytics.

Conclusion

The MIM:AGENCY team delivered a solution that transformed document processing from a weak point into a competitive advantage. Before automation, the company struggled with time-consuming manual workflows that required significant human resources. With the new AI-powered system, document handling and status updates became fast, accurate, and seamless.

One of the most notable effects was the reduction in customer support requests. Today, this Ukrainian logistics company operates on a new model: the operator verifies the document – they don’t type it. And the client knows the status, before they even ask the question.