TY - M-10157
AU - Patel, Dharti
AU - Pandit, Dr. H. B.
TI - Case Study: Centralizing Diverse E-Commerce Invoices Using Invoice LLM Model
T2 - Scientific Research Journal of Science, Engineering and Technology

PY - 2024
VL - 2
IS - 2
SN - 2584-0584

AB - E-commerce platforms handle various invoices, including PDFs, handwritten documents, and scanned JPG images. This diversity in invoice formats presents significant challenges when centralising data for accounting and tax purposes. Manual processing leads to operational inefficiencies and limits scalability. This case study discusses how integrating an Invoice LLM (Large Language Model), combined with Optical Character Recognition (OCR) for handwritten and scanned invoices, helps extract and centralise key entities from different formats, reducing manual intervention and increasing operational efficiency.

KW - E-commerce
KW -  Invoice Processing
KW -  Large Language Model (LLM)
KW -  Optical Character Recognition (OCR)
KW -  Data Extraction
KW -  Centralized Data Management
KW -  Automation
KW -  Scalability
DO -