Taiwan FamilyMart: How Grab & Go Technology Redefines Convenience Store Efficiency

Customer Requirements

In Taiwan, convenience stores are not just places to buy snacks and drinks. They are part of everyday urban life.

Customers visit them for breakfast, lunch boxes, coffee, beverages, daily essentials, parcel services, and quick purchases between work, school, commuting, and family routines. This makes convenience stores one of the highest-frequency retail formats in the market.

However, high-frequency traffic also brings new operational pressure.

During morning rush hours, lunch breaks, evening peaks, and promotional periods, traditional checkout can easily become a bottleneck. Even when the store has enough products, customers may still need to wait in line, scan items one by one, and complete payment manually.

For FamilyMart, the next step of convenience retail is not only about opening more stores or adding more products. It is about making every shopping journey faster, smoother, and more intelligent.

FamilyMart needed a smarter store model that could address several key challenges:

1. Peak-hour congestion
   Convenience stores serve dense customer flows, especially during breakfast, lunch, and after-work hours. A faster checkout experience can directly improve customer satisfaction.
2. Limited store space
   Urban convenience stores often operate in compact spaces. Every square meter needs to support both product display and customer movement.
3. Rising labor pressure
   Traditional stores rely heavily on staff for checkout, restocking, service, and daily operations. Reducing repetitive cashier work allows staff to focus on higher-value tasks.
4. Digital operation needs
   Modern convenience retail requires more accurate data, including product movement, shopping behavior, inventory changes, and real-time store performance.

To explore a more efficient retail model, FamilyMart worked with Cloudpick to build an AI-powered Grab & Go store experience.

Cloudpick Solution

Cloudpick provided FamilyMart with an AI-powered unmanned retail solution built around computer vision, smart sensing, access control, and automated checkout.

The shopping process is simple:

Enter the store
Customers verify their identity or payment method through the entry gate.

Pick products freely
They choose drinks, snacks, ready-to-eat meals, and daily essentials directly from the shelves.

Walk out naturally
There is no need to scan barcodes, wait for a cashier, or stand in a checkout line.

Automatic recognition and settlement
Cloudpick’s AI system identifies the items taken and automatically generates the order.

This transforms the traditional convenience store journey into a true Grab & Go experience.

Instead of treating checkout as a separate step, Cloudpick integrates recognition and settlement into the entire shopping process. Customers simply shop as usual, while the system completes item recognition, order calculation, and backend data updates automatically.

The store also uses a combination of AI cameras, shelf-level sensing, and real-time system management to support accurate item recognition and operational visibility. For operators, this means the store can record product movement, update inventory status, and generate transaction data with less manual intervention.

For FamilyMart, this model offers more than unmanned checkout. It creates a new store infrastructure for digital convenience retail.

Result

The FamilyMart Grab & Go project demonstrates how AI technology can reshape the operating logic of convenience stores.

For customers, the experience becomes faster and more natural. They no longer need to queue during busy hours or scan each item manually. The store becomes a place where shopping takes only a few seconds.

For store operators, the value is equally clear:

1. Higher checkout efficiency
   The automated process reduces congestion and allows more customers to complete purchases during peak hours.
2. Better use of staff time
   Employees can focus more on restocking, food preparation, customer service, and store maintenance instead of repetitive checkout work.
3. Improved customer experience
   A smoother shopping journey makes the store feel more modern, convenient, and memorable.
4. Real-time operational data
   Every transaction and product movement can be connected to backend systems, helping operators better understand demand and improve store management.
5. Scalable store innovation
   The Grab & Go model can be tested in compact spaces, office buildings, transport hubs, campuses, residential communities, and other high-frequency retail scenarios.

More importantly, the project shows that AI unmanned retail is not about replacing convenience stores. It is about upgrading them.

FamilyMart already has strong brand recognition, store operations, product supply, and consumer trust. Cloudpick adds the intelligent infrastructure needed to make the store faster, lighter, and more data-driven.

Together, the two sides create a new retail model where convenience is no longer limited by checkout speed, cashier availability, or store size.

Customer Testimonial

A representative from FamilyMart said:

“Convenience retail has always been about serving customers quickly and reliably. With Cloudpick’s AI-powered Grab & Go technology, we are able to explore a more efficient store model that reduces waiting time, improves operational flexibility, and creates a smoother shopping experience. This project gives us a valuable foundation for future convenience store innovation.”