If you’ve recently visited some big retail stores, you’ll agree that artificial intelligence (AI) has had a revolutionary impact on retail. Robots are increasingly being used to monitor inventory levels, checking the status of the floors, and much more. Also, they are providing companies with insightful business data on crowd reaction and consumer intelligence. In this article, we’ll look at five amazing examples of artificial intelligence usage in retail.

Walmart positions robots to scan shelves

Walmart is a retail giant with stores spread across the world and has pioneered the use of robots in its vast aisles. It is testing shelf-scanning robots in a number of its stores, and the robots replace human employees by performing tasks such as scanning shelves to check for empty stock.

Amazon removes cashiers with AI

We can’t talk about AI in retail without mentioning Amazon Go store (https://bigdata-madesimple.com/ais-impact-on-retail-examples-of-walmart-and-amazon/). Using this revolutionary technology, customers simply walk into an Amazon store, pick whatever they need from the shelves, and leave without passing through the cashier’s counter. The store has cameras and sensors that track customers from the time they set foot in the store, and their Amazon account is charged after they leave. Using AI, customers get a seamless and expeditious shopping experience bereft of tiring queues.

Starbucks bot simplifies coffee ordering

Starbucks has an AI-enabled voice ordering bot that enables customers to get their coffee expeditiously. Using the My Starbucks Barista (https://www.geekwire.com/2016/coffee-chatbot-starbucks-unveil-starbucks-barista-ai-technology-placing-mobile-orders/) app, customers leisurely place their order with a text or voice message. After that, by the time the customer arrives at their local Starbucks, they will find the order waiting and will, therefore, skip the queue.

Lowes embraces robots to help customers locate items

An American retailer specialising in home improvement, Lowes has managed to use the LoweBot (http://www.lowesinnovationlabs.com/lowebot/) to help its customers navigate its stores. The bot roams the store and assists customers in finding what they are looking for by asking them simple questions. Additionally, the bots monitor inventory to ascertain which aisles/shelves are running out of stock.

Sephora simplifies the process of finding make-up

Sephora has a Color IQ (https://digiday.com/marketing/color-iq-sephoras-shade-matching-skin-care-tool-boosts-brand-loyalty/) app that scans your face and offers you a personalised recommendation. The technology helps users to quickly find the make-up for them without relying on trial and error or using the tester samples.

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