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Popular fashion label implements intelligent document processing for accurate data capture

This case study examines how the implementation of Docketry addressed the challenge of manual data entry faced by a fashion garment manufacturing unit in Asia.

The company receives customer order forms from multiple agents in various formats, leading to time-consuming data entry work for the employees.

Challenge

  • Manual data entry to input customer order form data into their systems.
  • Time-consuming processes prone to human errors.
  • Lack of data format standardization.

Our solution | implementing intelligent document processing (IDP)

To address these challenges, the company decided to implement Docketry adopting a phased approach to ensure smooth implementation and integration.

The proposed implementation involved the following phases:

PHASE 1

Data extraction

  • Docketry helps to analyze and extract relevant data from the documents, such as customer details, product specifications, quantities, and other order-specific information.
  • The extracted data is then pushed into the connecting application for the next processing steps.
PHASE 2

Integration and workflow optimization

  • Phase 2 involvedr integrating Docketry with the manufacturing unit’s connecting software and ERP system.
  • Streamlining the end-to-end order processing workflow, enabling seamless data transfer, and reducing the need for manual interventions.

Outcomes of implementing Docketry

The implementation of Docketry brought several tangible benefits to the garment manufacturing unit:

  • Increased operational efficiency
  • Cost savings
  • Improved accuracy
  • Scalability and flexibility
  • Future integration opportunities

The implementation of Docketry successfully addressed the challenges of manual data entry and data extraction faced by the unit.

To know more about Docketry, talk to our experts.

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