Pain Points for Retailers

Bakery Store
Cake Store
Supermarket Bakery Zone
Supermarket Fruit Zone
Fruit Store
Fruit Sorting & Packaging
Self-Service Restaurant
Staff Canteen
Student Canteen
Micromarket
Convenience Store
Supermarket

A Better Way to Check-out for Retailers

Existing
Cashier Checkout

Vision AI Checkout

Time required to train a cashier

  • For Product Recognition
  • For POS Operation

Existing
Cashier Checkout

Vision AI Checkout

21

Days

vs.

0

Day

Full Self-Checkout

1

Day

Cashier-Assisted

Time required to recognize multiple products

  • Manually vs. Automation
  • Scan Barcode vs. Automation

Existing
Cashier Checkout

Vision AI Checkout

60

Secs

vs.

1

Sec

  • Reduce
    waiting time

  • Improve
    customer satisfaction

  • Increase
    revenue

  • Reduce
    operational cost

  • Quick
    expansion

Key Number of Integrating Viscovery Visual Checkout

Payback Period

3

Months

Saving (Per Month)

80

Labor Hours

Saving (Per Month)

$1,500

Labor Cost (USD)

Reducing

50%

Checkout Time

Product features

  • Smart Product Recognition with Computer Vision AI
  • Precise recognition despite the variance on products' natural appearance (e.g. the color and size among breads, or the shape of fried food)
  • Recognize everyday store products at 99+% accuracy
  • Easily integrate the existing POS/Kiosk terminal with Visual Recognition System
  • Simple steps for adding new product SKU
  • Flexible recognition server deployment
  • Increase operational efficiency
  • Lower operational cost

How it works

Simple Steps to Integrate

  • Upload Product Images & List

  • Product Learning by
    Viscovery AI

  • Integrate with Existing POS System

  • Ready to Go

Easy Process to Visual Checkout

  • Put Products under the Camera

  • Product Recognition

  • Show Product List and Bills

  • Complete Payment and Pack Goods

Success story

I JY SHENG

Viscovery, a leading Computer Vision AI company, and I JY SHENG, a renowned bakery chain store from Taiwan, collaborated on the launch of the first AI-enabled Bakery Visual Checkout System in Taiwan. Using the latest computer vision and deep learning technologies, Viscovery Bakery Visual Checkout system is able to distinguish the variance in breads’ natural appearance—between different bread types and bread of the same type. With merely a 1080p camera, the system is able to recognize multiple breads, all at one time, by the appearance features. At the time of launch, Viscovery visual checkout system was able to recognize breads at an accuracy of close to 95%. After the launch, the accuracy soon improved to over 99% through model tuning and self-learning.

85°C Bakery Café

Viscovery, a leading Computer Vision AI company, and 85°C Bakery Café, a renowned international bakery chain store from Taiwan, collaborated on the launch of the first AI-enabled Bakery Self-Checkout System in the US. Viscovery’s bakery visual checkout solution utilizes the latest deep learning and computer vision technologies to allow multiple bread products to be detected and recognized automatically. Using 85 café’s bakery self-checkout system, customers no longer need to wait in line for a cashier and can complete the checkout process on their own, effectively allowing the chain to increase same store sales turnover. The AI-enabled self-checkout system will help bakery stores reduce long line ups without the need to add additional workers.
Top
contact