淘工厂 & 天天秒杀 · AI 购物助手 / AI Shopping Assistant
UI用户体验设计师 · 2025 · 淘宝项目
淘工厂 & 天天秒杀 · AI 购物助手
覆盖产品 天天秒杀(支付宝小程序)+ 淘工厂 子方向 AI 省钱购物助手(1.0 / 2.0 / 支付链路)、AI 质价比商详、淘气包 AI 导购(搜推融合) ⚠️ 部分功能尚未在淘宝正式上线,本复盘以已落地部分为主;待相关功能全量上线后,会同步补完完整的设计过程与成效。 一句话概述:把 AI 从「又一个推荐黑盒」做成「真的帮我省钱、真的帮我选对」的可信助手——以三条子线(省钱助手 × 质价比商详 × 搜推融合导购)横跨天天秒杀与淘工厂两个电商产品,让 AI 与既有动线融合,而非割裂。
Coverage of products Daily Flash Sale (Alipay mini-program) + Taofactory Sub-directions AI Cost-Saving Shopping Assistant (1.0 / 2.0 / Payment Link), AI Quality-Price Ratio Product Details, Taogabao AI Shopping Guide (Search and Promotion Integration) ⚠️ Some functions have not yet been officially launched on Taobao. This review mainly covers the implemented parts; once the related functions are fully launched, the complete design process and results will be updated accordingly. Summary in one sentence: Transform AI from "another recommendation black box" into a reliable assistant that truly helps me save money and make the right choices - by covering three sub-lines (money-saving assistant × detailed quality-price comparison × integration of search and recommendation for shopping) across two e-commerce products, Tiantian Instant Sale and Taofactory, allowing AI to integrate with the existing flow rather than being separated.
背景和问题
AI 进入电商场景是趋势,但用对比用上难得多。本项目横跨天天秒杀(支付宝小程序内的电商秒杀)与淘工厂(产业带工厂直供频道)两个产品,围绕「AI 如何真正帮用户做决策」做三个子方向的体验设计: AI 省钱购物助手(天天秒杀):把红包从静态优惠升级为 AI 驱动的动态省钱方案。 AI 质价比商详(天天秒杀):把商详决策的「信」做出来——AI 评价总结、AI 推荐说明、AI 价格历史。 淘气包 AI 导购(淘工厂):搜推融合,让明确需求的用户挑得准、发散需求的用户找得到。
The integration of AI into the e-commerce landscape is a trend, but its application in this context is much more challenging. This project covers two products: Taikoo Sekar (an e-commerce flash sale within the Alipay mini-program) and Taofactory (an industrial zone factory direct supply channel). It focuses on three sub-directions of experience design centered around "How can AI truly assist users in making decisions": AI Cost-Saving Shopping Assistant (Everyday Flash Sales): Upgrade the red envelopes from static discounts to an AI-driven dynamic cost-saving plan. AI Value-for-Money Details (Everyday Flash Sales): Create the "trust" aspect of the merchant details decision-making - AI evaluation summaries, AI recommendation explanations, AI price history. Smart AI Shopping Guide (Taofactory): Merge search and recommendation, enabling users with clear demands to make accurate choices and those with broad demands to find what they need.
三个难点
1. 信任侧 — 用户对 AI 推荐天然怀疑("它推的真的是我要的吗")。视觉与文案要把「为什么推」「凭什么省」说清楚。 2. 体验侧 — AI 不该是新加一个 tab、一个抽屉,而要贯穿首页 / 商详 / 支付 / 购后,与既有动线融合而非割裂。 3. 价值侧 — AI 要交付可感知的真实利益(省了多少钱、避了哪个坑、找到哪件对的),不是展示算法能力。 核心问题:让 AI 成为「真的帮我省钱、真的帮我选对」的可信助手,而不是又一个推荐黑盒。
1. Trust side - Users naturally have doubts about AI recommendations ("Did it really give me what I wanted?"). The visuals and copy should clearly explain "Why was it recommended" and "Why was it saved". 2. Experience side - AI should not be an additional tab or drawer, but should run through the homepage / product details / payment / post-purchase process, integrating with the existing flow rather than being disconnected. 3. Value side - AI should deliver perceivable real benefits (how much was saved, which pitfall was avoided, which correct item was found), not just showcase algorithm capabilities. Core issue: Make AI a reliable assistant that truly helps me save money and truly helps me make the right choices, rather than just another recommendation black box.
设计思路
主线策略:让 AI 在用户全路径上做"动态决策支持",而非孤立推荐。 三条线: 省钱侧(动态化) — 用 AI 把"发了红包就完事"升级为"根据用户行为 + 红包门槛动态推方案",让红包从静态变动态。 决策侧(信任化) — 用 AI 把商详决策的散乱信息(评价 / 价格 / 推荐理由)聚合可读,补上信任侧的承接。 搜推侧(融合化) — 用 AI 打破搜推割裂,让搜索更精细、推荐更聚焦。
Main strategy: Enable AI to provide "dynamic decision support" throughout the user's entire journey, rather than making isolated recommendations. Three lines: Cost-saving Side (Dynamic) - Utilize AI to transform the statement "Just send out the red envelopes and it's done" into "Based on user behavior and red envelope thresholds, dynamically propose solutions", making the red envelopes dynamic instead of static. Decision-making Side (Trustification) - Use AI to aggregate and make the scattered information (evaluation / price / recommendation reasons) of detailed business decisions readable, filling in the gap on the trust side. Search and Recommendation Side (Integration) - Use AI to break the separation between search and recommendation, making search more precise and recommendations more focused.
沉淀和能力
AI × 电商设计语言:沉淀 AI 在电商场景下的视觉与文案表达原则——可信(讲清楚为什么)、可感(讲清楚省了多少)、融合(嵌入既有动线而非另起入口)。 触发逻辑驱动 AI 设计:以「浏览 15S+ 未下单」等用户行为节点驱动 AI 出现,而非用户主动唤起,把 AI 从工具升级为助手。 三类承接组件:省钱助手气泡 / 方案弹窗 / 支付链路气泡;商详 AI 评价总结 / 推荐说明 / 价格历史;搜推融合的搜中有推 / 推中有搜模块——均可跨场景复用。 跨产品 AI 体验范式:同一个 AI 思路在天天秒杀(秒杀场景)与淘工厂(产业带场景)的差异化落地,是把方法论而非具体方案做成可迁移资产的关键。
AI × E-commerce Design Language: Consolidating the visual and copywriting expression principles of AI in e-commerce scenarios - Trustworthy (explain why), Tangible (explain how much is saved), Integration (embed within the existing flow rather than creating a separate entry point). Trigger Logic Drives AI Design: Driving AI to appear based on user behavior nodes such as "Browsing for 15 seconds without placing an order", rather than users triggering it themselves. Elevating AI from a tool to an assistant. Three Types of Accompanying Components: Cost-saving Assistant Bubble / Solution Pop-up / Payment Link Bubble; Detailed AI Evaluation Summary / Recommendation Explanation / Price History; Search and Recommendation Integrated Search-with-Recommendation / Recommendation-with-Search Module - All can be reused across scenarios. Cross-product AI Experience Paradigm: Differentiating the implementation of the same AI concept in Taotai Flash Sale (flash sale scenario) and Taotian Factory (industrial belt scenario) is the key to turning the methodology rather than specific solutions into transferable assets.
Damien Wang · 产品经理作品集