“Revolutionizing Fashion Order Processing”
In the fashion industry, it is a common problem to get extremely complex orders from buyers, containing up to a hundred styles (with colors & sizes) with multiple destinations & delivery dates. It is very common that many mistakes are made in the manual input of such orders.”

Sanjoy Sahgal

Director

AXIND Software – Technology for Fashion

About the Fashion Industry

The fashion industry is a dynamic and fast-paced world where trends change in the blink of an eye. From importers, exporters to agents, and designers, staying ahead of the game requires access to accurate and up-to-date information. However, extracting valuable data such as text, images, tables, and other data from PDF files can be a time-consuming and labor-intensive process. That’s where PDF extraction tools come into play, revolutionizing the way the fashion industry works with data.

PDF extraction tools are transforming the fashion industry by simplifying the process of extracting valuable data from PDF files. These tools offer unparalleled efficiency, accuracy, and versatility, enabling fashion professionals to unlock the secrets hidden within PDF files and gain a competitive edge.

RESULT: 100% DATA ACCURACY  

• 75% time saved by automated invoice data extraction to generate error-free and relevant data.
• Saves a significant amount of money for businesses that manually enter data and have several back-office procedures.
• Captures precise data that is impossible to obtain manually and enables businesses to do compliance checks without performing pointless back-and-forth checks.
  

  Before	After
  Manually extracted data from complex orders	Extracted data using machine learning algorithms and provide accurate results
  Manual data extracting consumed time and generated errors	Automated data extraction saved time and reduced errors and documents were retrieved in a safe and flexible manner
  Extracted data file by file which was very challenging	Extracted data file by file which was very challenging

   

THE CHALLENGE

Process unstructured orders from clients

Process the unlimited complex order and generate accurate data.

Identify and classify the data

The extracted data needs to be categorized accordingly to be classified as clean data. Data to be extracted includes size, colours, destination, delivery dates.

Capture data from buyers with distinct layouts

Each client had a different preference for the structure of the data to be collected. The intended data capture included some image-formatted data.

Sort and extract categories and features from the data

The manual extraction was time-consuming which led to many mistakes and generated erroneous data.

The Inference Labs Solution

Uploading documents:  The manual extraction was time-consuming which led to many mistakes and generated erroneous data.

Pre-processing and extraction: Classifying, pre-processing, and extracting the data using machine learning algorithms and retrieving the documents in a safe and flexible manner using artificial intelligence.

Batch processing: Ingesting multiple files at once and generating a report containing data from each PDF in a separate row.

Structured output: Generates accurate results from each PDF. The output can be downloaded in Excel, CSV, XML, and JSON format.