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AI-OCR Smart Inbound and Outbound Inspection System

【Industry-Agnostic Support】Easily inspect non-standard forms with AI-OCR! Achieve efficiency in inbound and outbound operations with the 'AI-OCR Inspection System'.

■ Features of "AI-OCR × Inbound and Outbound Inspection System" 1. Easy OCR Inspection with Smartphone App Simply take pictures of labels and forms with a smartphone app, and instantly perform inspections on non-standard forms using AI-OCR. By pre-loading expected arrival and shipping instruction data into the app, it supports the verification of slips and inspection tasks during inbound and outbound processes. 2. Strong Support for Non-Standard Labels and Forms It accommodates different label/form layouts for each supplier and client. Since it can extract text information from specified areas of images, it is reliable even when label standardization has not progressed. 3. Individual Management Function It reads information such as individual numbers and serial numbers, enabling history management. This makes it useful in industries where lot/serial management is necessary. 4. Support for Shipping Operations Not only for inbound, but it also centralizes inspection and slip verification during shipping. It matches shipping instruction data with actual labels using AI-OCR, reducing mis-shipments and errors. 5. Smooth Integration with Core Systems It supports data import from existing core systems and the writing back of inspection results. It is also possible to import scheduled information via QR code scanning, making integration with other systems easy.

basic information

■Label AI-OCR Matching Function By setting up a layout master, it is possible to extract character information from specified areas of label images. This significantly improves the efficiency of visual inspections when there are no barcodes or QR codes. ■Individual Management Supports reading of individual numbers, serial numbers, and lot numbers. The information obtained during inspections is managed in the cloud, ensuring traceability. ■Integration of Shipping Instruction Data In addition to incoming scheduled data, shipping instruction data is also imported, and OCR matching is executed. This streamlines the process from label verification at shipping to reflecting results in the core system. ■Cloud Management OCR results can be immediately checked within the app and are also stored in the cloud for reference at any time. Records of discrepancies and errors are accumulated and can be used for layout changes and improvements of reports. ■Core System Integration Supports various integration methods such as data integration via CSV files, API integration, and through QR codes.

Price range

Delivery Time

Model number/Brand name

Non-standard forms / Smart inspection / AI-OCR / Lot management / Serial number / Inbound and outbound shipping / Across industries

Applications/Examples of results

| Applications ✓ Inspection and label verification for inbound and outbound shipments at warehouses, factories, and logistics hubs ✓ Inspection operations for manufacturers and trading companies with a mix of various types and formats of documents ✓ Receipt checks when label formats are not standardized by supplier ✓ Management of inbound and outbound shipments for products requiring traceability of individual items or serial numbers | Examples of Achievements ✓ General manufacturing and wholesale: Reduced discrepancies in incoming and outgoing inspections of parts and products ✓ Apparel industry: Streamlined inbound confirmation by reading product tags (non-standard labels) with AI-OCR ✓ Medical devices and precision instruments: Achieved serial number traceability by utilizing individual management functions ✓ Various other industries: Automated inspection tasks and reduced paper usage in warehouses and logistics centers

Detailed information

AI-OCR Smart Inbound and Outbound Inspection System

PRODUCT

Introduction Tips Collection: Five Pitfalls to Watch Out for Before Starting Inbound and Outbound Inspection with AI-OCR and Countermeasures

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Requirements Definition Guide for Successful Implementation of AI-OCR Inspection System

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Work environments suitable and unsuitable for AR digital picking.

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