Secure, scalable payment processing for retail & restaurants

What should run in the cloud, and what should run in the store? Match each workload to the environment it was built for. Real-time work belongs at the edge. That means POS transactions, shrink detection, video recognition and in-store promotions. These process locally and keep running even when connectivity drops. Use the cloud for the rest: offline data analysis, AI model training, big-data processing and eCommerce. So the answer is not “Cloud Out” or “Edge In.” It is both, built as one hybrid architecture.

Soon the customer placing your next order may not be a person at all. It may be their AI agent. The restaurants that win will not have the flashiest AI. They will have the cleanest data

Turn gas station pump ads into in-store sales by connecting your forecourt, loyalty app and POS on one unified commerce platform. Here's how.

Retailers can reduce shrink at self-checkout without removing it from stores by deploying visual AI to eliminate the produce misidentification and PLU errors that quietly erode margins. Visual AI uses computer vision to identify items on the scanner scale automatically, catching both honest mistakes and fraudulent selections in real time.

This January, NRF 2026: Retail’s Big Show will bring the industry to New York City to explore what’s next. It’s where strategies sharpen, priorities shift and new possibilities emerge. Retailers, tech providers, analysts and innovators will gather at the Javits Center to discuss how the store continues to evolve as the center of the retail experience.

Do you feel like your restaurant is being left behind without a designated marketing team? Here are five tips you can use without having to rely on an expert.