A difficult task, as anyone who has tried to collect product and pricing information from supermarket receipts knows. Processing large volumes of receipts requires patience, precision, and customer cooperation.
It’s one thing to collect data, but another to make it useful. However, data accuracy may not be enough to act.
There’s also the issue of errors, which can be costly. Use Tabscanner, an app with the most precise receipt scanning API. It saves time and effort. The progressive line-by-line data extraction ensures superior results with a core accuracy of 98 percent.
Let’s look at the next commercial receipt scanner evolution: supermarket receipt scanning. How to use data for product research, development, and more.
Supermarket Receipt Ocr:
It’s great to know how OCR works and how customers can help you. But in practice?
It’s quite easy. Think of it like this. The API’s receipt scanning is like a waiter taking your order. They then contact the kitchen, which prepares and delivers your food. The API has several steps.
The customer takes a photo of the receipt and uploads it to their phone.
API scans and sends us the image.
AI corrects image flaws and saves it as a digital file.
Machine learning can extract key data points and save them as JSON files (JavaScript).
The API will deliver the digital file in seconds.
Tabscanner can read faded receipt data accurately, so don’t worry about prolonged sunlight or faded ink affecting the data.
What Can Supermarket Receipts Tell Us?
A receipt’s data can be extracted, digitalized, and used to gain valuable insights. It is possible to find out which menu items are most popular and how much time is spent. This is only the start. You can gain more insight and offer special deals or determine when customers order. This is research.
Let’s look at some of the most vital data that can be gleaned from scanning supermarket receipts with a receipt scanner API.
Product Data
Supermarket product data contains a wealth of information. Ingredients and descriptions can be included in this data. Some include origin country.
A byte of data contains a point. Brands can use this data to learn more about their customers’ shopping habits and increase sales through special offers, discounts, and other incentives.
Product Classification
The supermarket product classification is now set. Supermarket goods are categorized. Meats are one type of food. Supermarkets can use this data to optimize product placement and aisle layout. That’s why many popular items are near the checkout. It makes them spend more. Without a receipt Parsing API, understanding customer behavior is difficult. That’s it.
Merchandise
A receipt parser can also help supermarkets decipher merchant contact info. A general overview of suppliers and locations can be obtained directly from receipts.
A supermarket may decide to change suppliers if they feel their suppliers’ quality is inadequate. Before choosing a supplier, it’s important to know their products and locations.
Price Data
Supermarkets must be price competitive. Customers aren’t just brand advocates if they like the brand. If given the choice, people will often go to a supermarket that sells the same product cheaper.
Precision Ocr & Machine Learning Will Help You Make Decisions
Tabscanner’s machine learning AI and OCR help supermarkets improve their product offerings and service to customers.
Using the world’s most precise OCR, the software can read and interpret faded receipts as well as individual line-item data. Clearly, it can help supermarkets increase sales and profits.
Despite fierce competition, supermarkets can still be the best by using OCR and machine learning software.
