It has slow turnaround time leading to inaccurate inventories
It leads to potential compliance issues for manufacturers
It is a repetitive and tedious task, resulting in disengaged shop floor employees
It is prone to human errors when processing large numbers of invoices and orders
It is super expensive and time-consuming
Accurate inventory - Works as a good reference for production. Inventories are always appropriately stocked, wastage is minimum, and production happens as per requirement.
Enhance employee efficiency - Significant reduction in downtime, quality standards improve leading to overall employee efficiency.
Cost optimization - Accurate data helps to optimize the costs of operations by greatly reducing waste, scrap, and expenses.
Accurate Pricing - High data accuracy helps in pricing, planning, and forecasting to achieve a frictionless and end-to-end, quote, order, engineering, and production process.
Enhanced visibility - Accurate data metrics gives insight into individual performance, manufacturing operations, poor performing shifts, recurring machine downtime, etc.
Improved overall operations - Faster document processing, optimal allocation of resources, and improved decision-making.
Optical character recognition (OCR) – Recognizes text within a digital image. Used to automate text recognition and extraction from scanned documents and images.
Optical mark recognition (OMR) – Commonly used to capture human marked data used for customer feedback, surveys, multiple choice tests, polls etc.
Intelligent character recognition (ICR) – Teaches machines to process handwritten documents and extract text.
Intelligent Document Recognition (IDR) – Extracts data from any part of a document including meta description.
QR Code Recognition – An optical scanning device that's able to read QR codes for better customer experience.
Voice Recognition – Allows users to enter data while their hands are holding equipment, or they are otherwise unable to operate a keyboard.
