Pain Points for Bakery Retailers

1

Poor shopping experience due to
long checkout waiting time

2

Considerable effort into training
cashiers to recognize breads

3

High checkout error rates

A Better Way to Check-out for Bakery

Existing Cashier Checkout

Around

21 days

to train a cashier to recognize bread and
learn to operate POS system

Around

60 secs

to manually recognize multiple breads (More time will be needed with more bread to be purchased)

Vision AI Checkout

Self-Checkout System

No Need

to train a cashier

Cashier Assisted System

Only 1 day

to train a cashier

Only

1 sec

for Vision AI to recognize multiple breads

  • Reduce
    waiting time

  • Improve
    customer satisfaction

  • Increase
    revenue

  • Reduce
    operational cost

  • Quick
    expansion

Product features

  • Smart Bakery Recognition with Computer Vision AI
  • Precise bread recognition despite the variance in bread's natural appearance--between different bread types and breads of the same type
  • Easy to integrate with your existing POS 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 Viscovery Cloud API with Existing POS System

  • Ready to Go

Easy Process to Visual Checkout

  • Consumers Put Bread and Tray 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.
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