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Automation of Goods Entry from PDF Invoices into Warehouse Management System

Industry: Mirror component manufacturing
Size: 80 employees
Location: Greater Poland (Wielkopolska)
Area: Warehouse

The Challenge

Time-consuming manual entry of goods from invoices into the system

The company received dozens of invoices daily in various formats (text PDF, scanned, photos, CSV, Excel), which warehouse staff had to manually transcribe into the warehouse management system. The process was time-consuming, error-prone, and generated high operational costs.

Key challenges:

  • Manually transcribing invoice line items took 3–4 hours per day
  • Invoices in various formats – text PDF, scanned, photos, CSV, Excel
  • High risk of errors during manual data entry
  • Lack of standardization of product names from different suppliers
  • Delays in updating warehouse stock levels
  • Difficulties tracking purchase history and invoices
Business impact: High warehouse labor costs, errors in stock levels leading to shortages or surpluses, and delays in production fulfillment

The Solution Process

AI System for Automatic Invoice Processing and Goods Entry

Creation of an intelligent system using AI to extract data from invoices in any format, automatically standardize product names, and directly enter data into the warehouse management system with a verification option.

Delivery time: 3 months
1

Process Analysis and Document Format Review

Detailed analysis of the goods receiving process, identification of all invoice formats (text PDF, scanned, photos, CSV, Excel), and mapping of data flow

2 weeks
2

OCR and Data Extraction Implementation

Creation of a mechanism for processing various document formats using OCR for scans and photos, and parsing for text-based files

3 weeks
3

AI Processing and Line Item Recognition

Implementation of an AI model to identify invoice line items, quantities, prices, and automatically extract key information

4 weeks
4

Dictionary Library and Standardization

Creation of an intelligent dictionary library to automatically translate various supplier product names into standardized internal names

3 weeks
5

Automated Entry into the System

Creation of a mechanism for automatically entering processed goods into the warehouse management system with a verification and approval option

2 weeks
6

Testing and Workflow Integration

Comprehensive testing with real invoices, AI system training, and integration with the existing warehouse workflow

2 weeks

Actions Taken

Multi-format Invoice Processing System

A mechanism for automatically recognizing and processing invoices in any format – text PDF, scan, photo, CSV, Excel – using OCR and AI

Tools used:
OCR TechnologyAI Document ProcessingMulti-format ParserImage Recognition
Result: Ability to process invoices in 100% of formats received from suppliers

AI for Invoice Data Extraction

An AI model that automatically identifies and extracts key data: line items, quantities, prices, catalog numbers, and supplier information

Tools used:
Machine LearningNLPPattern RecognitionData Extraction
Result: Data extraction accuracy of 96%

Dictionary Library and Standardization

An intelligent dictionary that automatically translates various supplier product names into standardized internal names with self-learning capabilities

Tools used:
Dictionary MappingFuzzy MatchingMachine LearningSynonym Database
Result: Automatic standardization of 92% of line items without human intervention

Processed Invoice Database

An archiving system for all processed invoices with full history, search capability, and purchase report generation

Tools used:
Database ManagementSearch EngineReporting ToolsArchive System
Result: Instant access to purchase history and invoice verification

Automated Warehouse Entry

A mechanism for directly entering processed goods into the warehouse management system with a verification and approval option for warehouse staff

Tools used:
API IntegrationWorkflow AutomationApproval SystemReal-time Sync
Result: Reduction of goods entry time from 3–4 hours to 15 minutes per day

Results Achieved

Key metrics

Goods entry time

3–4 hours15 minutes
95% reduction

Entry errors

8%0.5%
95% reduction

Stock level accuracy

87%99%
25% increase

Warehouse operational costs

100%45%
95% reduction

Business benefits

  • Dramatic reduction in goods entry time from 3–4 hours to 15 minutes per day
  • Reduction in data entry errors by 94%
  • Processing invoices in 100% of formats – text PDF, scan, photo, CSV, Excel
  • Automatic product name standardization using the dictionary library
  • AI data extraction accuracy of 96%
  • Increase in stock level accuracy from 87% to 99%
  • Full archiving and searchable invoice history
  • Reduction in warehouse operational costs by 55%
  • Verification option before approval for data quality control
  • Elimination of monotonous, error-prone manual work

Project Gallery

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🔍 Click to enlarge
Baza plików
System przechowywania i zarządzania plikami źródłowymi faktur w różnych formatach (PDF, zdjęcia, CSV, Excel) z automatyczną kategoryzacją.
🔍 Click to enlarge
Baza przetworzona
Widok przetworzonej faktury z wyekstrahowanymi danymi: pozycjami, ilościami, cenami oraz statusem weryfikacji i akceptacji.
🔍 Click to enlarge
Biblioteka słownik
Inteligentna biblioteka słownik mapująca różne nazwy produktów od dostawców na ustandaryzowane nazwy wewnętrzne z możliwością uczenia się.
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Polecenia przetworzenia
Panel sterowania procesem przetwarzania z poleceniami AI, parametrami ekstrakcji danych oraz ustawieniami automatyzacji wprowadzania.
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Schemat procesu
Diagram przepływu procesu automatycznego przetwarzania faktur od odbioru dokumentu, przez ekstrakcję AI, standaryzację do wprowadzenia w magazynie.
🔍 Click to enlarge

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