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    AI-Based Order Capture from Handwritten Order Forms

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    AI-powered order capture solution that automatically reads handwritten forms, checkboxes, and product specifications using computer vision and OCR.

    Overview

    Ehrenmueller's AI-Powered Order Capture solution automates the digitization of handwritten and printed order forms using advanced computer vision and text recognition (OCR) technology. Designed for industries where paper-based ordering processes persist--such as medical products, pharmaceuticals, and specialized retail--this solution dramatically reduces manual data entry effort while improving accuracy.

    The solution addresses a common challenge: order forms are still frequently filled out by hand and transmitted via fax, requiring time-consuming manual transcription into digital ordering systems. Complex product specifications with multiple parameters make this process especially error-prone.

    Key capabilities include:

    • Automatic form type and version recognition: Incoming forms are analyzed to identify the document type (e.g., order, inquiry) and its version, adapting to layout changes over time.

    • Intelligent data extraction: Using the identified layout, computer vision models reliably locate and read product types, order quantities, measurements, checkboxes, and handwritten entries.

    • Data translation and validation: Extracted information is automatically converted into parameters your ordering system understands. Built-in validation checks whether selected products and specifications are compatible, catching errors early in the process. The rule system is extensible at any time.

    • API-based integration: The solution provides an API that processes forms and delivers structured data, enabling seamless integration with existing order management systems.

    AWS Services powering this solution:

    • Amazon Textract: Extracts printed and handwritten text, checkboxes, and structured data from scanned order forms with high accuracy.
    • Amazon Rekognition: Enables computer vision capabilities for form layout detection, document classification, and field localization.
    • AWS Lambda: Provides serverless compute for processing incoming forms on demand, ensuring scalability without infrastructure overhead.
    • Amazon S3: Stores incoming scanned forms and processed output in a secure, durable, and highly available object store.
    • Amazon API Gateway: Exposes the processing pipeline as a managed REST API, enabling seamless integration with existing order management systems.

    The quality assurance four-eyes principle remains intact--but the labor-intensive first step of manual transcription is significantly reduced. This solution is proven in production use for medical product manufacturers and is continuously updated to support new form versions, ensuring consistent output quality even as forms evolve.

    Developed by Ehrenmueller KI-Experten, specialists in custom AI development for mid-market enterprises, this solution combines individual AI development with high-quality engineering and proven references across multiple industries.

    Highlights

    • Automatic recognition of handwritten entries, checkboxes, and product specifications from scanned or faxed order forms using computer vision and OCR
    • Intelligent form detection that automatically identifies document type and version, adapting to layout changes over time without manual reconfiguration
    • Built-in validation engine that checks product and specification compatibility, catching order errors early with an extensible rule system

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    Ehrenmüller AI provides support through their Customer Relationship Management team. For initial inquiries and coordination of next steps, you can reach the team via phone or email. Online appointment booking is also available for scheduling consultations: