{
  "id": 14439444,
  "title": "Why the AI shopping revolution could backfire on retailers",
  "url": "https://urgent.news/2026/10/14/why-the-ai-shopping-revolution-could-backfire-on-retailers",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-14T11:40:06.000Z",
  "source": {
    "name": "Phys.org",
    "slug": "phys-org",
    "url": "https://phys.org/news/2026-10-ai-revolution-backfire-retailers.html"
  },
  "original_language": "en",
  "account": "The rise of AI in shopping could prove costly for retailers, despite the technology's apparent efficiency. While AI assistants answer questions instantly and offer personalized recommendations, they sometimes overlook crucial details. For instance, an AI might recommend a laptop for college without considering necessary software, or a supermarket assistant could suggest substitutions that conflict with a customer's dietary preferences. These hypothetical scenarios highlight how AI can appear efficient but fail to meet customers' actual needs.\n\nIn Australia, Bunnings' Buddy and Woolworths' Olive demonstrate AI's growing presence in mainstream retail. Amazon's Alexa for Shopping, Apple's Siri for Shopping, and Walmart's Sparky are other examples of conversational shopping technology being tested. However, these systems must balance technological capability with customer confidence. A mistaken recommendation, purchase, or disclosure of personal information could have serious consequences.\n\nTo better understand customer acceptance, researchers developed a new eight-dimensional scale measuring personalization, accuracy, safety, speed, convenience, humanization, friendliness, and emotionality. High acceptance is linked to increased word of mouth, share of usage, willingness to pay, and likelihood of adopting AI services. However, the scale does not guarantee improved sales, as priorities vary between different types of shopping assistants.\n\nRetailers should consider measuring these eight dimensions before launching AI shopping assistants to identify areas for improvement. Measuring customer acceptance separately for different shopping experiences can help managers pinpoint underlying weaknesses before they affect the brand's reputation. Ultimately, the success of AI shopping will depend on retailers measuring customer experience and making necessary improvements to ensure accuracy, safety, and value for returning customers.",
  "summary": "Retailers have every reason to be interested in AI. A shopping assistant that answers questions at any hour, compares products instantly and offers personalized recommendations sounds like a win for customers and businesses alike.",
  "key_points": [
    "AI systems like Bunnings Buddy and Woolworths Olive are becoming mainstream in retail.",
    "Measuring eight dimensions of customer acceptance is crucial for AI shopping success."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}