Due to tariffs, inflation and other economic pressures, fear of the strength of consumer spending running high, retailers are working hard to maintain revenue growth. While some retailers are leaning towards worker-driven, personalized experiences for shoppers, others are focusing on leveraging artificial intelligence to optimize their shopping experience.
Walmart It is one of these retailers and adds a new “super agent” that aims to save time and effort for both workers and shoppers. At the recent retail rewiring innovation event, Walmart highlighted the launch of four “super agents” including Marty for sellers and suppliers, Sparky for shoppers, Associate Agent and Developer Agent.
As agents perform their functions, spend time off, merchandising and find products suitable for any event in the payroll realm, Walmart integrates powerful, time-saving tools for a multi-point streamlined experience with the company.
“The large number of different agents can be very quickly confusing,” said Suresh Kumar, Chief Technology Officer at Walmart Global, at the event.
For example, Associate Agents “a single point of entry where you can find access to all agents built on the backend,” explained David Glick, senior vice president of Enterprise Business Solutions at Walmart. “When you talk more to it, when you work with it more, it's going to know more about you.”
This evolution comes with wider changes in retail, an industry that is actively seeking to counter cost concerns from consumers and governments, and Walmart is not alone in pushing AI to everything. According to TechCrunch, the four-day Prime Day event on Amazon in July used 3,300% 3,300% year-on-year. Meanwhile, Google Cloud AI has partnered with Body Care Retailer Lush to visually identify projects without packaging, ultimately reducing training costs for new hires.
Make digital twins for Walmart stores
Walmart is also all-in with physical and spatial AI, especially digital twins (for Walmart, stores, clubs, etc., for virtual copies of physical objects or spaces). Walmart can “detect, diagnose, diagnose and repair problems up to two weeks in advance” using digital twin technology with spatial AI. According to Ballard, using this technology will save you a lot of money. “Last year, we reduced all emergency alerts by 30% and reduced maintenance spending by 19% at Walmart US,” he added.
“At the core, retail is a physical business,” said Alex De Vigan, CEO and founder of NFINITE. This generates large-scale visual data for training spatial and physical AI models. “Retailers have used digital twins to reduce the setup time for new promotions, redistributing the workforce more efficiently, improving the accuracy of robot picking, and improving small profits that quickly increase when margins are under stress,” he said.
The effects of digital twins may not look as outwardly to consumers, but Walmart's Sparky agent is realistic in their effects. “Improved inventory accuracy, faster site updates and fewer order issues mean that the retail experience is smoother, even in tougher economies,” De Vigan said.
Another backend innovation is to use machine learning to better understand how long it will take for Walmart to get delivery orders at the customer's doorstep, and effectively manage expectations while increasing efficiency.
As for what consumers can see, Sparky is already helping shoppers generate baskets built with an intuitive understanding of their needs. Walmart is currently working to enable agents to take action to deal with product sorting, ultimately reducing the mental load that shoppers deal with.
For retailers, AI is one way to combat slowing consumer spending, but we haven't yet seen how a fully integrated AI shopping experience (both directly and online) shapes the relationship with Retail moving forward.
