Retailers are increasingly using artificial intelligence tools to identify patterns and provide insights into shopping habits and better service consumers.
However, these stores could run into trouble if they don’t follow existing laws when adopting AI technology, says Wendy Tembedza, partner at Webber Wentzel.
How stores are using AI
An example of AI in retail can be seen in the use of facial and voice recognition. The SPD Group, a London-based e-commerce solutions company, has developed a system for product suggestions based on tracking a customer’s location and actions in-store. The system analyses video footage from cameras, identifies customers in frames and tracks the customer’s location in the store.
Walmart Tesco, and many other established retail brands, use Google or Amazon AI technology to provide customers with simple and quick voice searches. For example, the introduction of Walmart Voice Over by Walmart and Google allows customers to simply say “Hey Google, talk to Walmart and add milk to my cart” to their Google Assistant.
The specific milk the customer regularly buys is then added automatically to the customer’s online cart.
Retailers are also using AI in virtual fitting rooms which are a great way for customers find the perfect outfit while saving time. A virtual fitting kiosk from Me-Ality can scan a customer in 20 seconds and measure 200,000 points of their body in this period. Companies like Levi’s and Gap have installed these scanners in selected stores and have seen a notable increase in sales as a result.
Locally, Superbalist.com recently launched Fit Finder – the first South African retailer to do so. Consumers know all too well that certain brands do not always run true to size.
Fit Finder, developed by Fit Analytics GmbH, is an intuitive tool that assists consumers shopping online to make accurate sizing choices by answering a series of size- and brand-related questions. Fit Finder then uses the responses, along with sale and return records, to suggest the correct size.
The viability of AI-driven consumerism depends on retailers’ ability to show they can process personal data responsibly, says Tembedza.
“While the use of AI creates opportunities for retailers, the deployment of any AI tool in the South African retail context must be carefully scrutinised for compliance with data protection laws.
“AI tools should be configured and operate in such a way that they help the retailer to meet its obligations under the Protection of Personal Information Act, 4 of 2013 (POPIA). For example, the use of facial recognition AI meets the definitional requirements of personal information regulated by POPIA.”
Retailers will therefore need to be comfortable that their chosen tool includes appropriate controls to reduce the risk of unauthorised access to the relevant data, she said.
Tembedza said retailers must also be aware of the implications of the Cybercrimes Act, 19 of 2020 (Cybercrimes Act) on their operations.
“AI requires access to vast volumes of data, which results in an increased risk of cybercrimes. Cybersecurity is essential as a prerequisite and enabler of AI processing. It is best practice for retailers to put measures in place to reduce the risk of the occurrence of an offence contemplated in the Cybercrimes Act, for example, measures to prevent the unlawful access to, or interception of, data.
“Certainly, retailers should be alive to the reputational consequences of a failure to put measures in place to guard against the identified cybercrimes and should understand that their AI tools should be configured in such a way as to assist in this protection.”AI can have a significant positive impact on how retailers deliver personalised customer experiences, she said.
“It has been shown that these experiences can result in retailers not only retaining their existing customer base, but also gaining new customers. However, when implementing AI retailers must be cognisant of their obligations under POPIA and the Cybercrimes Act.”