微信内可能无法直接打开本站。请点右上角 ··· → 在浏览器打开,或复制链接。
Retailers Report AI-Driven Sales and Bigger Baskets in Q2 Earnings
RSS 官方收录 · 可信分层展示
关键摘要
It’s early for artificial intelligence shopping tools, but the results are already showing up in bigger orders and more spending, and major retailers said so this earnings season.…
- Walmart’s global eCommerce grew 23% in the quarter, according to earni…
- Shoppers using Walmart’s AI assistant, Sparky, spend 40% more per orde…
- Amazon reported the same pattern after merging its AI tools into a sin…
摘要引擎:抽取
正文提要
It’s early for artificial intelligence shopping tools, but the results are already showing up in bigger orders and more spending, and major retailers said so this earnings season.
Walmart’s global eCommerce grew 23% in the quarter, according to earnings results released Thursday (Aug. 20). Shoppers using Walmart’s AI assistant, Sparky, spend 40% more per order, with total users up 70% year over year, CEO John Furner said on an earnings call.
Amazon reported the same pattern after merging its AI tools into a single assistant, Alexa for Shopping, in May. More than 350 million shoppers have used it in the past year, active users nearly doubled year over year, and U.S. customers who use it spend 40% more per order than those who don’t, CEO Andy Jassy said, CX Dive reported July 31.
Target made the same case this week. Digital traffic from external AI platforms is growing more than three and a half times faster than the industry average, CEO Michael Fiddelke said during an earnings call, citing partnerships with companies like OpenAI.
“While still small in total today, as more consumers begin to explore the benefits of agentic shopping, Target’s digital traffic sourced from external AI platforms is growing,” Fiddelke said.
Target is also weaving AI into its own app. AI-powered teacher and college wish lists saw creation volume jump more than 50% ahead of back-to-school season.
Numbers So Far Come Mostly From Grocery
Nearly every hard number retailers have shared comes via repetitive, habitual shopping from groceries and household staples.
Albertsons said it has seen average order value increase 10% when customers use the company’s conversational search and 26% when they use its more comprehensive assistants that find recipes and ingredients that match their dietary preferences.
Those categories make an AI assistant’s job easy. Predicting what a customer needs again is simpler than helping them discover something new.
What hasn’t been proven is whether that holds outside grocery, in categories driven by browsing and discovery rather than repetition.
Shopify’s data hints at the harder test. AI-referred traffic and orders on Shopify each tripled year over year, and its share of sales outside major product categories has held steady since 2025, meaning AI is already reaching niche, non-repetitive purchases there.
Discovery-Driven Retail Tells a Different Story
TJX, the parent of TJ Maxx, Marshalls and HomeGoods, reported comparable sales growth of 4%, but the company’s earnings call centered on merchandising, not AI, CNBC reported Wednesday (Aug. 19). TJX sells almost entirely through in-store, treasure-hunt browsing, the kind of unpredictable shopping an AI assistant is least equipped to replicate.
Etsy showed the same limit from the other direction. Agentic traffic on the platform grew roughly 15 times year over year in the fourth quarter of 2025, and it remained less than 1% of Etsy’s total traffic as of its most recent quarter.
Etsy is built entirely around the kind of browsing and discovery TJX relies on in stores, one-of-a-kind items a shopper wasn’t necessarily searching for by name, and even there, AI’s actual share of traffic remains small despite a fast growth rate.
The gap is the real test ahead. Walmart, Amazon and Target all have real numbers showing AI driving more spending per order, but those numbers sit almost entirely in categories where predicting demand is easiest.
Consumers are already comfortable using AI to shortcut the research part of shopping. The PYMNTS Intelligence report “The Overlap Effect: How Amazon and Walmart Expanded the Crowd and Shrank the Basket” found in July that 38% of AI users compared prices across retailers with the technology and 36% used it to find deals.
Willingness extends further than research alone. The PYMNTS Intelligence report “From Assistive to Agentic AI: Consumers Wade Into Autonomous Commerce” found in January that 49% of consumers interested in agentic AI would let an assistant complete both routine and larger, research-driven purchases on their own.
However, that willingness has mostly been tested in categories consumers already buy on repeat. Whether it holds once the purchase is something a shopper wasn’t already planning to make is the question this quarter’s earnings haven’t answered yet.
For all PYMNTS AI coverage, subscribe to the daily AI Newsletter.
The post Retailers Report AI-Driven Sales and Bigger Baskets in Q2 Earnings appeared first on PYMNTS.com.