Shopify： AI代理购物将成今年假日季主流趋势

Overall: This holiday shopping season is seeing new trends, with AI agent shopping becoming mainstream for the first time, as consumers focus on maximizing value.

1. More cautious spending: Economic pressure has led 54% of consumers to cut their shopping budgets, with slight reductions in planned spending for Black Friday weekend. Yet participation intent among those aged 18-44 remains above 80%, peaking at 88% for ages 25-34.

2. Practical AI shopping: 65% of consumers will use AI to assist with holiday shopping, mainly to find discounts, seek inspiration, and discover new products. AI can be used to make recommendations and add items to cart, but only 29% trust AI to handle payments. It's advisable to retain final purchase control and manage the last step of checkout yourself.

3. Rational consumption reminder: Impulse buying is declining. Before purchasing, consumers spend time researching, using AI to investigate, and adding items to their carts to observe. The core is ensuring value for money. 35% of consumers say they will choose the product that best meets their needs, even if it is not the lowest price. Discounts, new products, and flexible payment options matter, but quality and value are the deciding factors.

Overall: AI agent shopping is becoming a mainstream holiday trend. Brands must clearly communicate their product and brand essence, and emphasize differentiation to win.

1. Brand marketing and channel building: 65% of consumers use AI-assisted shopping, mainly to find discounts, inspiration, and new products. Brands should provide clear, easy-to-read pricing, reviews, comparison, and shipping information, building consumer trust through details and making it easier for AI to recommend them.

2. Pricing and price competition: Consumers are pursuing value maximization, not just discounts. 35% of consumers are willing to choose the product that best meets their needs, even if it is not the lowest price. Brands should emphasize quality and value rather than engaging in pure price wars.

3. Product development and user behavior: Younger and higher-income consumers use AI shopping more frequently, and this group tends to favor independent niche brands. Personalized, thoughtfully designed products are more favored. Brands need to strengthen differentiated traits, and shift growth goals toward retaining existing customers and driving repeat purchases.

Overall: Holiday spending is softening, but business confidence is rising. AI shopping brings new growth opportunities, and sellers need to adapt.

1. Growth markets and changing consumer demand: Although consumption is affected by economic pressure, business confidence in sales revenue has risen from 72% to 76%. AI agent shopping has become mainstream and 65% of consumers will use AI-assisted shopping. Young consumers show high participation willingness, and acceptance of independent niche brands is increasing, creating a fairer competitive opportunity for small and medium-sized enterprises.

2. Opportunities and methods: Sellers should provide clear price and discount information, complete user reviews, and information that facilitates price comparison and shipping, increasing consumers' willingness to shop via AI. At the same time, they must supply accurate, structured, AI-readable product data to improve the chance of being discovered by AI, and emphasize differentiated brand traits.

3. Risk alerts and learning points: Impulse buying is declining and purchase decisions are rational; quality and value become key. Discounts, new product launches, and flexible payment options still provide some boost. Customer acquisition is becoming harder, so businesses should prioritize retaining existing customers and driving repeat purchases — an important strategy this year.

Overall: Holiday products show demand for personalization and quality, while AI shopping offers factories insights into new business models.

1. Product production and design requirements: Consumers increasingly value quality and fit-for-purpose. 35% do not care about the lowest price, and young, high-income consumers prefer independent niche brands. Products with personality and thoughtful design will be more favored. Factories need to focus on differentiated design and quality refinement.

2. Business opportunities: AI shopping increases consumer acceptance of niche brands, offering small and medium-sized enterprises a fairer chance to compete. Factories can take on personalized, design-focused small-batch orders, collaborate with brands to create unique products, and capture niche segments during the holiday season.

3. Digitalization and e-commerce insights: AI agent shopping requires product data to be accurate, structured, and AI-readable; otherwise, products may not be recommended. Factories should promote structured product data, work with merchants to improve information completeness, and stand out in AI recommendations through brand differentiation.

Overall: The AI agent shopping trend creates new client needs and service directions for service providers, with the core focus being to help businesses build AI trust and visibility.

1. Industry trends and technology: AI agent shopping is becoming mainstream for the first time this holiday season. 65% of consumers use AI-assisted shopping, but trust in AI payment is low — only 29%. Younger and higher-income consumers shop with AI more frequently.

2. Client pain points: Consumers need clear price and discount information, complete user reviews, and easy price comparison and shipping details. These details determine trust in AI recommendations. Many companies' product data is insufficiently structured for AI to read, and brand differentiation is weak, making it hard to attract consumer choice.

3. Solutions: Service providers can help businesses optimize product data to be accurate, structured, and AI-parseable, increasing the chance of being discovered by AI; assist brands in building trust details, such as price transparency, review management, and shipping information; and coach brands to highlight personalized traits, aligning with AI shoppers' preference for niche brands to achieve targeted growth.

Overall: AI agent shopping is becoming a mainstream holiday trend. Platforms must accommodate the dual needs of consumers and merchants, strengthening AI shopping infrastructure and operational guidance.

1. Platform needs from business: 65% of consumers will use AI-assisted shopping this holiday season to find discounts, inspiration, and new products. Merchants need to be discovered and recommended by AI, so platforms must offer structured data systems that support AI reading, while providing clear pricing, reviews, price comparison, and shipping information. Otherwise, merchants lose access to traffic.

2. Recommended platform actions: Guide merchants to submit accurate and complete product data, and improve the display of reviews, price comparison, and shipping information to enhance consumer trust. Leverage AI shopping's growing acceptance of niche brands, increase support for small and medium-sized merchants, create a fairer competitive environment, and enrich the platform ecosystem.

3. Operations and risk management: Consumers generally retain final purchase authority, with only 29% willingness to let AI pay. Platforms should avoid overemphasizing one-click ordering and instead provide decision-support tools. Impulse buying is declining, and consumers focus on quality and value. Platforms need to help merchants strengthen brand differentiation and customer retention, reducing customer acquisition costs.

Overall: AI agent shopping has become a mainstream holiday trend for the first time, reflecting structural changes in consumer behavior and corporate strategy that merit research.

1. New industry dynamics: Agentic shopping has entered the mainstream, with 65% of consumers using AI-assisted shopping during the holiday season. Consumer and corporate sentiment diverge: economic pressure negatively affects 54% of consumers' shopping plans, but business confidence in sales growth has risen from 72% to 76%, in which AI-driven factors may play a significant role.

2. Consumer behavior and business models: AI shopping behavior is strongly correlated with age and income. Younger, higher-income consumers use it more frequently and are more inclined toward independent niche brands. Consumer purchase decisions are becoming rational, with 35% not chasing the lowest price but choosing the product that best meets their needs. On the business side, small and medium-sized enterprises gain fairer competitive opportunities through AI, and corporate growth goals shift from acquiring new customers to retaining existing ones and driving repeat purchases.

3. Policy, regulation, and research implications: The report covers data from 9 global markets, surveying 18,000 consumers and 7,500 business decision-makers. Policy can focus on consumer trust in the AI commerce space, such as low willingness to let AI agents handle payments, requiring transparent and credible AI shopping rules, while supporting small and medium-sized enterprises to fairly compete using AI.