Building a Reliable E-commerce Business Automation System with OCR

Membangun Sistem Otomatisasi Bisnis E-commerce dengan OCR

What is e-commerce

E-commerce (abbreviation of electronic commerce) is the activity of shopping and selling goods and services online via the internet. Electronic commerce involves commercial transactions such as buying, selling, and transferring money over the internet. Well-known examples of electronic commerce include online shopping sites such as Amazon, eBay, and Alibaba, as well as online payment platforms such as PayPal, Stripe, and Square. Electronic commerce allows customers to shop and make transactions from anywhere and at any time, without the need to go to a physical store or make transactions directly with sellers.

What is OCR

A woman's face being scanned by 2 people

OCR stands for optical character recognition, which is a technology used to recognize printed or handwritten text and convert it into text that can be processed digitally. In OCR, text images are scanned and then analyzed to recognize the characters contained in them. OCR technology is very useful in converting printed documents into digital text that can be processed by a computer. OCR is used in a variety of applications, such as document scanning, handwriting recognition, and QR code reading. OCR is also used in the finance, health, and banking industries, where documents containing printed or handwritten text must be processed digitally for data recording and processing purposes.

Read Also: What is Face Recognition Cek Juga Cara Kerjanya dalam Pelayanan Kesehatan

Benefits of OCR in E-commerce

A woman is taking cardboard photos with her cell phone

The use of OCR in electronic commerce businesses has brought several benefits, such as:

1. Speed up data processing:

In an e-commerce business, data processing can take a long time. By using OCR, data processing time can be accelerated, because the text in the image can be converted into text that can be processed quickly by the computer.

2. Improve accuracy:

OCR can help improve the accuracy of data processing by avoiding human errors that may occur in the data input process. This can help reduce errors in electronic commerce business processes and increase efficiency.

3. Improve efficiency:

In electronic commerce business processes, efficiency is the key to success. The use of OCR can help improve efficiency by speeding up data processing and avoiding human error.

4. Improve customer experience:

In the electronic commerce business, customer experience is an important factor in achieving success. With the use of OCR, the buying and shipping process can be faster and more accurate, which can improve the overall customer experience.

Thanks to these benefits, companies have steadily used OCR in electronic commerce to increase their efficiency, improve accuracy, and improve their user experiences.

Read Also: 5 Functions of OCR for Boosting Digital Businesses’ Performance

Examples of OCR Usage in E-commerce

Someone is scanning a barcode using a cellphone

The following are some of the common examples of OCR usage in e-commerce companies:

1. QR code scanning:

QR codes are two-dimensional matrix codes that can be accessed using a smartphone camera. In e-commerce, QR codes are used to link products with information about the product, such as product descriptions, prices, and shipping information. OCR can be used to read information from a QR code and convert it into text that can be processed by a computer.

2. Credit card verification:

When a customer makes a payment in electronic commerce, OCR can be used to read the information on the credit card, such as the card number, expiration date, and security code. This information can then be verified to ensure the authenticity of the credit card.

3. Recognition of text on invoices and documents:

In electronic commerce, the use of OCR can help recognize and convert the text of invoices and documents into a format that can be processed by a computer. This can help speed up the processing of data and delivery of orders.

4. Barcode scanning:

In electronic commerce, OCR can be used to read information from barcodes on products such as UPC and EAN codes. This information can then be used to quickly and accurately identify products and process customer purchases.

5. Handwriting recognition:

In some cases, the customer may write information such as the shipping address and telephone number on the order note. OCR can be used to recognize handwriting and convert it into a text format that can be processed by a computer.

If you are worried about how to build an e-commerce business automation system with OCR, so that data processing can be more efficient, high levels of accuracy, and human error can be avoided with OCR technology. Eendigo has provided the right solution through eendigo homegrown OCR design for all companies.

Find eendigo homegrown OCR service in this link! And make your company’s electronic commerce business automation system process easier with the help of OCR from eendigo!