The Customer Experience
1. Tap to Start
The customer taps their card or mobile wallet to initiate a quick, small pre-authorization, beginning their shopping session.
2. Door Unlocks
After payment is verified, the cooler door unlocks and pops open, inviting the customer to begin shopping.
3. Shop Freely
The customer opens the door, browses, and grabs any items they want just like a fridge at home!
4. Door Closes
The door closes, either automatically or manually, signaling the end of the shopping session and readiness for transaction processing.
5. AI Identifies Items
Our AI-powered computer vision instantly recognizes all products taken, accurately calculating the total price.
6. Instant Checkout
The system "trues up" the authorization, charging only for items taken, for a seamless, simple checkout.
ReyVend Tech
We’re answerable.
Have questions about AI smart coolers? Here are the quick answers operators ask most before they install.
What makes the machine AI?
What makes the machine AI?
Smart coolers are AI (artificial intelligence) because they don’t rely on fixed rules, but rather use computer vision and data analysis to learn and make inferences. Cameras inside the cooler capture images of the shelves, and AI-powered computer vision identifies which products are taken or returned. The system then compares these visual insights with a product database to confirm the item type and price. By interpreting images and learning from data, the AI can accurately infer customer actions and automatically update inventory and transactions in real time.
How does the AI initially know what is being sold? Do you have to train it?
How does the AI initially know what is being sold? Do you have to train it?
Operators can easily choose products from our master SKU library or upload new items to customize their AI-powered smart cooler. Using advanced computer vision technology, the cooler automatically identifies each product a customer removes. Unlike other smart vending machines that demand AI or machine learning expertise, our automated retail kiosks are designed specifically for existing vending operators. You don’t need to train the system or hire technical staff. Our ready-to-deploy AI vending software bridges the gap between traditional vending and modern automation, helping you scale your business from day one.
What is pre-authorization on Smart Coolers?
What is pre-authorization on Smart Coolers?
Pre-authorization systems are designed to secure funds before a transaction is finalized. A pre-authorization places a temporary hold to guarantee payment once the transaction is finalized.
Once the door closes, only the actual total is captured and charged to a customers card.
Powered by Nayax VPOS Touch, ReyVend’s approach provides real-time accuracy and unmatched transparency—setting a new standard for payment trust in autonomous retail.
This AI stuff sounds complicated, am I going to need training or have to train my staff on how to work the machines?
This AI stuff sounds complicated, am I going to need training or have to train my staff on how to work the machines?
We understand—AI and its applications can sound complicated. That’s the #1 question we get, and we completely agree! Because our founder comes from decades in the coin-operated amusement and ATM industry, our machines are built by operators, for operators. Our program is roll-out ready, simple to use, and requires no AI or machine learning expertise. We specifically designed our smart coolers and vending systems for traditional vending operators who want to grow with automation—without the steep learning curve. In short, our AI is ready to go right out of the box, no training required.
Explain the ROI increase from AI Vending Machines?
Explain the ROI increase from AI Vending Machines?
Vending machines were once simple, mechanical cabinets—glass-front, coin-only systems that dispensed snacks and drinks through basic motorized coils. Over the decades, incremental upgrades followed: bill acceptors replaced coin slots, then credit card readers expanded payment options. Eventually, cloud-based management platforms and digital displays arrived, promising to modernize vending through data, telemetry, and improved customer engagement.
Despite all the innovation, the economics never fully aligned. For most operators, the added complexity, recurring fees, and maintenance costs of connected systems and digital screens failed to deliver a meaningful return on investment. The machines became smarter—but not necessarily more profitable.
Now, the application of AI has shifted that balance. Smart Coolers not only enhance the customer experience but finally provide an ROI that makes technological investment worthwhile. By combining computer vision with incremental pre-authorization, these systems close the loop between convenience and control. A customer taps their card to unlock the cooler, triggering a small pre-authorization, selects their items freely, and as they do, the AI recognizes each product in real time. When the door closes, the system finalizes the transaction—charging only for what was taken, automatically and securely.
Can't you just steal from it?
Can't you just steal from it?
Worried about theft? Go ahead and try—but the AI-powered smart cooler will catch you. Our advanced computer vision technology tracks what’s taken in real time, and if someone tries to block the camera or move too fast, the system still knows. If any discrepancy is detected, the software instantly flags the transaction for review. Operators can also receive alerts and manually review or charge the cardholder, ensuring complete theft prevention and accountability.
How accurate is the AI in identifying the correct product?
How accurate is the AI in identifying the correct product?
Typical end-to-end product recognition accuracy for most AI smart coolers ranges from about 95–99%, with real-world performance closer to 95% due to challenges like similar packaging, mixed planograms, and less-than-ideal lighting. ReyVend’s AI computer vision system consistently achieves over 99% accuracy, even under difficult conditions—such as inconsistent product facings, poor lighting, and look-alike items, including identical products in different sizes (for example, a 12 oz Coke and a 20 oz Coke). This unmatched precision ensures reliable automated retail transactions and eliminates costly recognition errors.
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