Intelligent Retail Lab

Intelligent Retail Lab

Walmart’s in-store AI Lab within a fully-operating grocery store in Levittown, NY.

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DateInvestorsAmountRound

N/A

-
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD2020202120222023
Revenues0000000000000000
% growth--(8 %)-
EBITDA0000000000000000
Profit0000000000000000
EV0000000000000000
EV / revenue00.0x00.0x00.0x00.0x
EV / EBITDA00.0x00.0x00.0x00.0x
R&D budget0000000000000000

Source: Dealroom estimates

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More about Intelligent Retail Lab
Made with AI
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Intelligent Retail Lab (IRL) represents a strategic initiative by Walmart to explore and integrate artificial intelligence into the physical retail environment. Launched in April 2019, IRL operates within a fully functioning 50,000-square-foot Walmart Neighborhood Market in Levittown, New York, which serves as a live testing ground for new technologies. This venture was developed by Walmart's technology incubator, Store No. 8, under the leadership of CEO Mike Hanrahan, and was strategically placed in one of the company's busiest locations to test innovations in a real-world setting with over 30,000 items.

The core of IRL's operation is to leverage a vast network of AI-enabled cameras, sensors, and processors to gather and analyze real-time data about in-store activities. The primary business focus is on enhancing operational efficiency and improving the customer and associate experience. A key application is the optimization of inventory management; the system automatically detects when products are low on shelves and triggers alerts to employees for restocking. This process involves identifying specific products, tracking on-shelf quantities, and comparing them against sales demand to ensure product availability and freshness, particularly for perishable items like meat and produce. By automating these routine checks, employees are freed up to concentrate on customer service and other less mundane tasks.

IRL is designed to be transparent, featuring a glass-encased data center, educational kiosks, and interactive displays that allow customers to understand how the AI technology functions. For instance, a display shows how the system reacts to body positioning without recognizing faces or tracking individual shoppers, ensuring privacy. The technology also addresses practical store management issues such as identifying the need for more shopping carts, opening additional checkout registers during peak times, and detecting spills. The learnings from IRL are intended to be scalable, with successful technologies being implemented across the wider Walmart network to drive efficiency and enhance the retail experience.

Keywords: retail technology, artificial intelligence, in-store analytics, inventory management, operational efficiency, computer vision, smart store, customer experience, retail innovation, Walmart Store No. 8, real-time data, shelf monitoring, associate productivity, AI applications, retail automation, data-driven retail, smart shelving, predictive analytics, in-store sensors, future of retail

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