The retail sector’s severe downturn made 2017 an exceptionally bad year, and 2018 didn’t offer much more hope for struggling retailers.
A study published in April 2018 found there were already more than 90 million square feet worth of vacancies from physical shops that year. Considering that 2017 store closures represented about 105 million square feet of space, analysts anticipated a record-breaking 2018 for shuttered stores.
But, with some forward-thinking retailers realize artificial intelligence (AI) is a worthwhile way to make people keep frequenting physical locations.
Lowe’s Uses AI to Keep Shelves Full
In today’s fast-moving culture, people want to walk into physical stores and swiftly find the products they want. When that doesn’t happen, customers could decide to purchase from online shops offering same-day shipping.
Lowe’s started working with AI when it rolled out the LoweBot, a robot that interacted with in-store shoppers. Initially, it answered basic questions and helped people find things in stores.
However, a recent upgrade allows the LoweBot to spot empty shelves and alert store employees about the issue. It can even determine backroom stock levels before giving such notifications.
Multiple Retailers Move Toward Smarter Fitting Rooms
Many people say one of the downsides of shopping online is that they can’t try on clothing. There is a growing trend of retailers being mindful of that as they use AI and similar technologies to personalize experiences in the fitting rooms.
Some digital mirrors recognize a shopper’s items and suggest complementing garments based on the selection. Other models have features enabling a person to summon a sales floor employee for assistance. Plus, when Ralph Lauren upgraded its fitting rooms, retailers could collect data and track the number of pieces brought into the fitting room versus the garments purchased, for example.
At Neiman Marcus stores, people can try on different colors of an item without changing their clothes. Augmented reality (AR) makes the switch as seamless as possible by allowing consumers to press a button that changes the image in the mirror and gives them a different perspective in seconds. Also, when people shop at Mango stores to update their wardrobes and try on possibilities, they can add details to a smart watch.
These innovations show how AI and other advancements can relieve some of the pain points people face when going into a fitting room and deciding which items to buy. Retailers can also use the gathered data to make business decisions that help their locations thrive instead of falter.
AI Shopping Carts Simplify Shopping Experiences
When looking for ways to modernize their stores, retailers operating typically look for ways to align their offerings with shoppers’ needs. They might start offering more sizes or announce a loyalty program. Accepting credit cards is another wise move since only 12 percent of shoppers prefer paying with cash.
A startup called Caper hopes to combine card-based payments with AI in the stores that invest in its smart shopping carts. They’re already available in two New York City stores, and the carts recognize items placed in them, weigh items like produce, give recipe recommendations and help people find their way around a store.
When it comes to payment, there’s a card reader mounted on the front of the cart. After people use it, they get digital receipts sent to their smartphones.
Caper positions its high-tech product as a cheaper alternative to the mostly worker-free stores where people buy things fitted with sensors and don’t interact with cashiers. It’ll be interesting to see if the company helps this kind of AI-powered shopping take off.
A Visual-Based Search System Uses AI to Diversify Shopping Center Visits
Today’s shopping centers often have hundreds of stores to entice consumers. But, people are creatures of habit and commonly stick to only a small number of retailers when looking for desired products. Hammerson, a retail property group operating shopping centers in over a dozen countries, decided to try an AI-based app to encourage people to frequent more stores per visit.
The Style Seeker app allows people to take a picture of an item they want — whether on social media, in a magazine or from another source — then depend on AI to look through a shopping center’s inventory for relevant merchandise.
Through that approach, the app may urge a person to step into a store they hadn’t visited before. It could also save time browsers might otherwise waste in stores that don’t have what they need.
AI Could Help Physical Stores Survive
These examples show there are various ways to utilize AI in brick-and-mortar stores.
However, the shared thread between the options is that they could boost a store’s ability to stay in business as online stores compete for people’s preferences.