NRF SmartBrief: AI in Retail Edition
Nissin Foods embraces AI to fulfil changing consumer needs
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August 3, 2026
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NRF SmartBrief: AI IN RETAIL EDITION
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Top Story
 
Amazon's AI advancements drive Q2 sales surge
 
SHENZHEN, CHINA - JULY 23: In this photo illustration, a smartphone displays the logo of Amazon.com Inc. (NASDAQ: AMZN), an American multinational technology company specializing in e-commerce, cloud computing, digital streaming and artificial intelligence services, in front of a screen showing the company's latest stock market chart on July 23, 2026 in Shenzhen, Guangdong Province, China. (Photo illustration by Cheng Xin/Getty Images)
(Cheng Xin/Getty Images)
Amazon's second-quarter results reveal significant advancements in AI integration, with AI agents now enhancing shopping experiences, organizing digital work and supporting contact centers. Financially, its sales jumped 20% to $200.6 billion, driven by strong performance in the AWS and grocery sectors. CEO Andy Jassy highlighted the success of agentic assistant Alexa for Shopping, which has nearly doubled active users and boosted interactions more than fivefold.
Full Story: PYMNTS (7/30)
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Stay covered when retail demand shifts fast
Coverage gaps don't wait for a convenient moment. This guide breaks down the challenges of retail employee scheduling, shows you how to build schedules that hold up under callouts and peak traffic, and the best practices to support multi-location visibility and labor cost control. Read the guide »
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AI in Retail
 
Walmart uses AI to reduce weather-related supply chain issues
Walmart is using advanced AI and machine learning models to forecast and mitigate weather-related supply chain disruptions. By integrating historical weather patterns with real-time data, Walmart simulates potential impacts on its network and can reposition inventory, adjust transit times and reroute shipments to ensure stores remain stocked and customers receive orders on time. The technology also helps Walmart Canada manage challenges in remote areas.
Full Story: Supply Chain Dive (7/29)
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IKEA focuses on reskilling staff as AI grows
 
BERLIN, GERMANY - JUNE 4: The logo of furniture retailer Ikea, photographed on June 4, 2026 in Berlin, Germany. (Photo by Amrei Schulz/Photothek via Getty Images)
(Amrei Schulz/Getty Images)
IKEA has retrained about 8,500 call center employees to handle complex queries and work as design consultants, leveraging human interaction as a revenue driver. The initiative, sparked by the introduction of the AI-powered customer service bot Billie, has boosted sales through remote sales centers, which have become IKEA's fastest-growing sales channel. Rather than reducing headcount, the company invested in reskilling its workforce to focus on nuanced sales and customer support, positioning human interaction as a key differentiator.
Full Story: Yahoo (7/30)
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Kohl's new AI shopping assistant to simplify digital retail
Kohl's has built on the success of its Mother's Day Gift Finder by creating a Google-powered AI shopping assistant to help year-round online and app-based shoppers. The assistant aggregates deals, personalizes product recommendations and compares products, and it can use shoppers' uploaded images to search for items. The assistant also can track orders and connect with customer service.
Full Story: Retail Dive (7/30)
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Nissin Foods embraces AI to fulfill changing consumer needs
To maximize its supply chain, Nissin Foods USA, the maker of Cup Noodles, Top Ramen and other Asian-inspired products, is adopting AI and machine learning technologies while moving away from legacy systems. The company seeks to enhance inventory management and forecasting, while reducing costs and improving supply chain resilience. CEO Yukio Yokoyama emphasizes that these advancements will enable smarter decision-making and faster responses to market changes, ensuring Nissin Foods meets evolving consumer needs.
Full Story: Consumer Goods Technology News (7/28)
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Scale Agentic AI in Retail
Modern retail requires seamless execution. On Aug 20, explore how embedding predictive and agentic AI breaks down operational silos, optimizes inventory, and powers hyper-personalization. Feature panel: Feedonomics, Stibo Systems & Toshiba. Register free now!
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Tech Watch
 
Salesforce, Brunello Cucinelli aim to personalize shopping
Salesforce has taken a financial stake in Callimacus, an AI-driven platform developed by luxury fashion brand Brunello Cucinelli's Solomei AI team, to enhance online shopping experiences through real-time personalization. The partnership seeks to deploy Callimacus across North America and Europe, leveraging Salesforce's extensive ecommerce network to revolutionize customer engagement by creating dynamic, tailored experiences. The initiative reflects a broader shift towards "pageless" commerce, where AI assembles experiences based on customer intent and preferences, but it also presents challenges in maintaining brand control and evolving analytics.
Full Story: Digital Commerce 360 (7/31)
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AI Agent Trends 2026 Report
The era of simple prompts is over. Explore the five trends driving business transformation in 2026 based on insights from 3,466 global executives. View the trends »
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AI and the Consumer
 
AI lifts consumer expectations, but data issues persist
There is a growing gap between rising customer expectations driven by AI and the ability of organizations to meet these demands, states Salesforce's State of Commerce report. With 86% of commerce professionals acknowledging AI's role in elevating expectations, only 61% feel equipped to address them, though many organizations are planning to deploy agentic AI soon despite the challenges. The report also underscores the importance of unified customer data, as fragmented information can hinder AI's effectiveness in delivering personalized experiences.
Full Story: CX Today (7/29)
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Research
 
Report reveals 25% of AI budgets are wasted
Around 25% of AI spending is wasted due to a lack of dedicated cost management and oversight, according to a report by Harness. The data highlights that more than 50% of companies do not have a specific owner for AI costs, leading to inefficiencies. Major cloud providers like Oracle and AWS are introducing new features to improve cost visibility and management, but despite these efforts, many companies still rely on guesswork and outdated methods like spreadsheets for forecasting AI expenses.
Full Story: Retail Dive (7/30)
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AI-driven discovery reshapes marketing metrics
AI chatbots are increasingly handling shopping research, bypassing company websites and challenging m