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

Flammarion

Viscovery assisted Flammarion, a renowned cake store in Otaku, Tokyo in Japan, to enhance checkout efficiency with Visual Checkout system. The system is able to recognize cake, packaged cookies, pudding and more within 1 second.

I JY SHENG

Viscovery and I JY SHENG, a well-known bakery chain store from Taiwan, collaborated on the launch of the first AI-enabled Bakery Visual Checkout System. Using the latest computer vision and deep learning technologies, the system is able to distinguish the variance in breads’ natural appearance—between different bread types and bread of the same type, and recognize multiple breads within 1 second.

85°C Bakery Café

Viscovery and 85°C Bakery Café, a renowned international bakery chain store from Taiwan, collaborated on the launch of the first Vision-AI-powered Bakery Self-Checkout System in the US. With the system, customers can complete the checkout process on their own, effectively allowing the chain to increase same store sales turnover and reducing long line ups without the need to add additional workers.

Seed Bakery

Bread Seed, a well-known bakery store in Hsinchu, Taiwan, deployed Viscovery Bakery Visual Checkout system to assist cashiers accelerate the checkout process. The system enables a camera to automatically detect and recognize multiple bread within 1 second for checkout, allowing faster checkout and new cashiers' onboarding.
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