- Home Depot is leveraging artificial intelligence to enhance store configurations and adapt to evolving consumer demands.
- Retailers can benefit greatly from computer vision models as well.
- This piece is part of " How Artificial Intelligence Is Transforming Every Aspect of Life a collection exploring the implementation of artificial intelligence in various sectors.
The next time you stop by Lowe's For a new indoor plant, materials needed for storm preparation, or a component to repair a plumbing issue, the amount available and where it can be found in the store may have been affected by artificial intelligence .
A home improvement retail company is employing artificial intelligence tools to gain deeper insights into rapidly evolving consumer preferences and requirements, allowing them to adjust their store designs effectively. For instance, regarding a specific plant, AI might forecast an increasing desire for a particular kind of seasonal bush and boost inventory levels as popularity grows, subsequently positioning these plants in the most visible areas within the store.
When it comes to preparing for hurricanes, unexpected shifts in weather conditions can prompt the purchase of higher quantities of flashlights and weather radios. Additionally, plumbing supplies might be positioned near the store entrance to address urgent leak repairs during severe and erratic weather periods.
Chandhu Nair, who serves as the senior vice president of data, artificial intelligence, and innovation at Lowe's, shared with Business Insider that this technology is enabling the retail chain to develop more engaging experiences. shopping experiences which are also simple and fast to use.
This initiative is led by frontline retail employees and office-based professionals, who are making sure that AI supports but does not eliminate their roles.
A team-wide effort
Nair mentioned that offering a "simpler, quicker, and more enjoyable" in-store shopping experience depends on obtaining substantial amounts of practical data, such as "customer movement within stores" and "regional tastes," shared by both staff members and shoppers. He further noted that having appropriate technologies is essential for Lowe's layout design team to derive valuable information from this data.
In the past, these teams primarily used manual methods to gather this data, analyze it, and implement the findings. As a result, Nair mentioned that it might take several months before Lowe's observed any significant outcomes. However, with AI-driven solutions, things have changed. spatial intelligence systems have cut this down to "a small portion of the original duration."
Nair emphasized that this is crucial because new product trends constantly arise and fade, particularly due to social networking applications such as TikTok He stated, "We can now change designs more often during the year, aligning with what customers in that region require at each specific time."
In addition to spatial intelligence and data analytics tools, Lowe's is also looking into the possibilities offered by digital twins—software that creates a virtual replica of a real-world setting, like a retail location. According to Nair, the company has utilized Nvidia's 3D graphics platform Omniverse, to develop an initial version of an application that provides sales and inventory information, automatically organizes stock, creates 3D representations of its tangible assets, and offers additional features through one interface.
Should it be eventually implemented, "it would allow retailers an opportunity to experiment with and improve digital designs prior to implementing alterations in physical stores, aiding in showcasing the most pertinent items in manners consistent with how regional shoppers prefer to purchase," he mentioned to BI.
AI for smarter shopping
Other retailers also see the promise of artificial intelligence. A study conducted by Honeywell, a global corporation, revealed that 80% of retail companies will acquire AI systems in the next few months, aim to gain deeper insight into customer needs, develop a more streamlined shopping process, and enhance employee efficiency.
Particular computer vision systems hold significant promise for retail businesses. Vinod Goje A software engineering leader and AI solutions strategist mentioned to BI that these systems can create heat maps indicating areas of the store with the highest and lowest customer movement, helping employees position items and plan retail setups more effectively.
Goje mentioned that merchants have the option of installing computer vision technology on their shelves to guarantee items are properly positioned and restocked once inventory decreases. This technology can further integrate with artificial intelligence to display tailored promotions on smart displays within the store, according to him.
In the coming years, intelligent AI systems capable of making choices without human input may cause more changes in the retail industry. Sucharita Kodali, a senior analyst at the market research company Forrester, mentioned to BI that AI assistants might locate replacements for sick workers, place orders for products when inventory runs short, and create promotional strategies based on current stock availability.
Challenges to consider
Certainly, as companies such as Lowe's increasingly depend on artificial intelligence to boost productivity, worries are rising that this innovation might eliminate countless manual labor positions within the coming years. However, Nair pointed out that Lowe's strategy focuses on enhancing employee capabilities rather than replacing them; implementing AI for optimizing store layouts involves "human imagination," according to him, along with "data-driven analysis" and "effective tools."
In response to worries regarding artificial intelligence implementation, Nair stated that the company is not adopting "technology just for the sake of it," but instead concentrating on remedies that tackle the most significant challenges faced by employees, as indicated by input from retail and online shopping teams.
Looking ahead
Even though several of Lowe's artificial intelligence initiatives are still early-stage, Nair remains hopeful regarding their impact on the long-standing retail company's future. He mentioned that his group will keep working on "improving how we link insights and forecasts" to "enhance store adaptability more quickly" and develop "more intelligent and personalized" interactions for its dedicated shoppers.
In order to achieve this, Nair and his group will keep testing innovative AI technologies, refine them using "faster feedback cycles," and aim to develop "an enhanced shopping environment that continuously adapts alongside our consumers."
He shared with BI, "We're enthusiastic about the future and the role of AI in helping us continue addressing challenges and realizing aspirations for the home."
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