Tefisc Fact Engine
Published: August 31, 2026 | 1 sources | 85% confidence

Best Buy emphasizes expert support with AI shopping assistant

Best Buy emphasizes expert support with AI shopping assistant

Best Buy is turning up the volume on its customer‑service game by rolling out an AI‑driven shopping assistant that blends the brand’s long‑standing reputation for expert advice with the speed and convenience of modern chat technology. Dubbed “Ask Blue,” the new tool is designed to answer product‑related questions, steer shoppers toward the right accessories, and—when needed—hand off the conversation to a live representative. By embedding artificial intelligence directly into its online and in‑store experiences, Best Buy hopes to keep shoppers engaged, reduce friction in the buying process, and reinforce the retailer’s promise of knowledgeable, personalized service.

What Happened

In early June, Best Buy announced the public launch of Ask Blue, an AI shopping assistant that lives on the company’s website, mobile app, and even on select in‑store kiosks. The assistant is built on a large language model fine‑tuned with Best Buy’s product catalog, warranty information, and service policies. When a consumer types a query—such as “Which TV is best for a small living room?”—Ask Blue parses the request, pulls relevant specifications, and offers a shortlist of models with price points, reviews, and availability.

Beyond product recommendations, Ask Blue can schedule a Geek Squad appointment, check order status, and direct users to live chat or phone support if the AI determines that a human touch is required. The rollout follows a pilot that began in late 2023, during which Best Buy reported a 15 % increase in conversion rates for users who interacted with the assistant for more than two minutes.

Key Details

Ask Blue is powered by a proprietary version of a large language model that has been trained on over 10 million product listings, customer reviews, and internal knowledge‑base articles. The AI can understand natural‑language queries, handle follow‑up questions, and maintain context across a conversation, allowing it to refine recommendations based on user preferences such as budget, room size, or brand loyalty. The system also integrates with Best Buy’s inventory management platform, ensuring that the assistant only suggests items that are in stock at the shopper’s chosen fulfillment location.

Privacy and security were top priorities in the development phase. All interactions are encrypted, and the AI does not store personally identifiable information beyond the session. For customers who prefer not to engage with AI, a simple “Talk to a human” button is always visible, instantly connecting the shopper with a live agent. Early metrics show that 68 % of users who start a conversation with Ask Blue remain in the AI channel, while the remaining 32 % opt for human assistance, often after the AI has already narrowed down options.

Background

Best Buy has long positioned itself as a retailer that offers “expert advice” through its Geek Squad technicians, in‑store specialists, and extensive online guides. However, the rise of e‑commerce giants and the growing expectation for instant answers have pressured traditional brick‑and‑mortar retailers to modernize their support channels. In 2022, Best Buy began experimenting with AI chatbots for basic FAQs, but those early versions lacked the depth needed for nuanced product queries.

The development of Ask Blue was a collaborative effort between Best Buy’s digital innovation team and an external AI partner specializing in retail‑focused language models. The project received a $45 million investment, part of a broader $200 million digital transformation budget aimed at enhancing omnichannel experiences, improving supply‑chain visibility, and expanding the company’s subscription services.

Why It Matters

For consumers, the introduction of a knowledgeable AI assistant means faster answers, fewer clicks, and a more personalized shopping journey. Shoppers can now receive tailored recommendations without scrolling through endless product pages or waiting on hold. This convenience is especially valuable for high‑involvement purchases—like televisions, laptops, and home appliances—where expertise traditionally played a decisive role.

From Best Buy’s perspective, Ask Blue serves as a force multiplier for its human workforce. By handling routine inquiries and initial product scouting, the AI frees up Geek Squad technicians and customer‑service agents to focus on complex troubleshooting, warranty claims, and high‑value sales. The technology also generates data on consumer preferences and pain points, feeding back into inventory planning and marketing strategies.

What Happens Next

Best Buy plans to expand Ask Blue’s capabilities over the next twelve months. Upcoming updates will include voice‑enabled interactions, integration with smart‑home devices, and multilingual support for Spanish‑speaking customers. The retailer also intends to embed the assistant into its loyalty program, allowing members to receive exclusive offers and personalized product bundles based on their purchase history.

Industry analysts expect other big‑box retailers to follow suit, using AI to bridge the gap between online convenience and in‑store expertise. As the technology matures, the line between human and machine assistance will blur, creating a hybrid support model that leverages the strengths of both. For now, Best Buy’s Ask Blue stands as a concrete example of how AI can augment, rather than replace, the expert support that has long been a hallmark of the brand.

In a market where speed, personalization, and knowledgeable service are increasingly intertwined, Best Buy’s AI shopping assistant signals a strategic shift toward a more integrated, AI‑enhanced retail experience. By marrying cutting‑edge technology with its legacy of expert advice, the retailer aims to keep customers engaged, informed, and confident in their purchasing decisions—whether they shop online, in‑store, or somewhere in between.

✍️ By Tefisc News Desk | Fact-Checked Editorial Team

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📚 Sources & Attribution

  • ✓ Retail Dive
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Tefisc News Desk
Fact-Checked News Team