DataXtract
A cutting-edge platform specializing in the collection, analysis, and visualization of complex data sets to drive actionable insights.
Automate Invoice Capture
AI-powered solution streamlines and automates accounts payable operation by extracting invoice data and importing it into an ERP system
Challenges of Manual Invoice Processing
Our AI-Enabled Solution
Xmplar’s Invoice Automation transforms invoice management by leveraging AI to automate data extraction from PDF or Image of invoices, integrating this data into ERP systems for seamless financial accounting. This solution handles various invoice types, such as IT services, travel expenses, and more, ensuring adherence to company spending policies.
Key Benefits
Effortless Intake
Easily upload invoices from multiple channels.
Out-of-Policy Detection
Flags potential non-compliant expenses.
Intelligent Preprocessing
Advanced PDF-to-text conversion maintaining data integrity.
ERP Integration
Seamlessly integrates extracted data into existing ERP systems.
Advanced Data Extraction
AI-powered extraction engine accurately captures key invoice data.
Data Visualization & Analytics
Supports insightful financial reporting and data-driven decisions.
Technical Highlights
Unlike traditional AI models that require training with sample documents and fixed formats, our solution extracts printed and handwritten text from images and documents using generative AI. Optimized for financial documents, it accurately digitizes text from various business documents regardless of fonts, layouts, or languages.
Utilizes OpenAI and other LLMs for precise data extraction.
Ensures accuracy and reliability of extracted data.
Offers scalability, reliability, and security.
Features a user-friendly interface for finance teams.
Conclusion
Xmplar’s Invoice Automation modernizes invoice processing with advanced OCR, AI, and seamless ERP integration.
Logistics Document Extraction
Effective logistics data management is critical in navigating supply chain uncertainties and mitigating risks, especially in the wake of the COVID-19 pandemic. Accurate and timely data handling is essential for smooth inventory movement and business profitability.
Challenges in Logistics Data Management
Our AI-Enabled Solution
Xmplar’s AI-powered software automates the extraction of data from shipping and logistics documents, integrating seamlessly with ERP and analytics applications for real-time inventory tracking and analysis. This streamlines logistics operations, improves data accuracy, and enables informed decision-making to optimize supply chain performance.
Key Benefits
Increased Efficiency
Automates data extraction, reducing time and effort in logistics management.
Optimized Resource Allocation
Provides insights for better resource allocation, minimizing stockouts and excess inventory.
Improved Accuracy
Utilizes state-of-the-art Large Language Models (LLMs) for precise data extraction.
Enhanced Decision-Making
Offers comprehensive analytics and visualization tools for trend analysis and process optimization.
Real-Time Visibility
Integrates with CREST and Power BI for real-time inventory tracking and monitoring.
Technical Highlights
Uses advanced AI functionality by leveraging a comination of LLM’s and vision models to extract printed and handwritten information from various logistics document formats with high accuracy.
Extracts key information from documents without the need for updating pre-configured templates, the AI model does not require retraining and maintenance
Utilizes advanced post-processing techniques to convert extracted data from various formats into a structured or semi-structured format
Seamless integration with CREST, Power BI, and other tools for inventory management and analysis.
How It Works
Document Ingestion
Ingests various formats of shipping and logistics documents.
Data Extraction
Uses Gen AI powered OCR, NLP, and computer vision for accurate data extraction.
Tabular Data Conversion
Converts extracted data into a structured format for analysis.
ERP and Analytics Integration
Integrates with ERP and analytics applications for real-time tracking and analysis.
Analytics and Visualization
Provides tools for in-depth analysis and visualization of logistics data.
Conclusion
Xmplar’s AI-enabled software revolutionizes logistics management by automating data extraction from shipping documents.
CC Statement Analyzer
Automate the extraction and comparison of credit card statements for accurate expense tracking and allocation.
Challenges in Credit Card Statement Reconciliation
Our AI-Enabled Solution
Xmplar’s CC Statement Analyzer automates the extraction of data from credit card statements and supplier invoices, compares them, and structures the data for seamless integration into accounting systems. This solution reduces manual effort, enhances accuracy, and improves financial efficiency.
Key Benefits
Automated Data Extraction
Efficiently extracts data from credit card statements and invoices.
GL Account Allocation
Allocates expenses to the appropriate GL accounts, streamlining accounting processes.
Accurate Comparison
Uses AI to match transactions with corresponding invoices, ensuring accuracy.
Reduced Manual Effort
Minimizes the need for manual reconciliation, saving time and resources.
Expense Classification
Automatically classifies business expenses into relevant categories.
Technical Highlights
Our Generative AI-powered OCR can accurately extract data from various credit card statement and invoice formats, including both printed and handwritten text.
Utilizes AI to compare and match credit card transactions with supplier invoices, ensuring precise reconciliation.
Leverages AI to classify expenses into business categories automatically.
Allows users to customize validation criteria, highlighting discrepancies for manual review.
Easily integrates with your accounting systems, ensuring smooth data transfer and processing.
How It Works
Document Ingestion
Upload credit card statements and supplier invoices via a user-friendly interface.
Data Extraction
Uses Gen AI-powered OCR and document parsing algorithms to extract key data fields from documents in a structured format.
Automated Comparison
Matches transactions with invoices and highlights discrepancies.
Expense Classification
Classifies expenses and allocates them to the correct GL accounts.
ERP Integration
Seamlessly integrates structured data into accounting systems.
Analytics and Reporting
Provides tools for analyzing financial data and generating comprehensive reports.
Conclusion
Xmplar’s CC Statement Analyzer automates the reconciliation of credit card statements with supplier invoices for enhanced accuracy and efficiency.
Industry Snapshot
Foam & Mattress Industry Solution:
Key Features
Manufacture of foams, and various consumer products out of them, such as mattresses, pillows etc. is essentially routine manufacturing activity. However, there are certain unique aspects to this industry, which makes adopting a good cloud ERP a wise decision.
Being a consumer product, the cost of branding, marketing, and distribution are very high. Therefore, manufacturers are constantly trying to control cost of production, without diluting quality, and protect their margins.
Inventory
- Product grade and stage wise stock visibility, without creating multiple SKUs for every grade, or stage - Comprehensive material planning - Automatic raw material indent to stores based on production plan
Procurement
Automatic Purchase Order generation, based on inventory levels
New
Production Scrap & Wastage
- Production planning based on Consolidated Sales Orders - Stage wise Production reporting (Latex preparation, to finished product -Production accounting simplified, with barcode sacn
New
Material Traceability
Barcoding for final despatch. Automated Batch number with Traceability.
Technical Highlights
Functional modules in CREST ERP cover the entire needs of an area of operation of a business, such as Sales, Purchasing, Manufacturing etc. These modules are interconnected and interdependent, making it a seamless application user experience.