Retail and grocery stores struggle with long checkout lines and staff shortages. Computer vision and autonomous checkout solutions can help.
Celebrate Artificial Intelligence Appreciation Day by learning about AI innovators in the geospatial, retail, medical, and autonomous vehicle spaces.
Packing robots are helping retailers overcome the challenges of constantly increasing demand & staff shortages, but bringing them to life is no easy task.
Warehouse picking & sorting is a great place to start your retail automation. First, robotic arms have to correctly identify items using high-quality data.
Computer vision models for autonomous checkout require a lot of high-quality labeled training data. Learn how to scale and accelerate data annotation.
Computer vision solutions like autonomous checkout require a lot of training data. Ensure your labeling workforce delivers high-quality retail AI data.
Shoppers count on a frictionless retail experience, especially during checkout. Here’s how AI and technology improve the customer experience in stores.
Automated solutions like OCR can help tackle retail data transcription at scale, but maintaining data quality remains a major challenge.
Retail data transcription is time-consuming and tedious work, not to mention notoriously hard to scale. Here’s how retailers can overcome those challenges.
Learn how the operations team for a popular cash-back retail rewards app scaled speed and accuracy for a data-verification process during the busiest season of the year.
Some believe cloud robotics will be the future of AI and the next big disruptor in business.
The combination of big data and machine learning can unlock the value of data you already have to gain a competitive edge for your business.