[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-10-ai-agent-workflows-b2b-catalog-leads-zh":3,"article-related-10-ai-agent-workflows-b2b-catalog-leads-zh":33,"series-industry-b5835d28-30fa-4249-bf46-eb9f99ac114b":78},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":25,"views":29,"created_at":30,"published_at":31,"topic_cluster_id":32},"b5835d28-30fa-4249-bf46-eb9f99ac114b","10-ai-agent-workflows-b2b-catalog-leads-zh","10 個把 B2B 型錄變成線索的 AI 工作流","\u003Cp data-speakable=\"summary\">這 10 種工作流能把 B2B 型錄變成更會選品、補資料、再把線索送對人的銷售入口。\u003C\u002Fp>\u003Cp>複雜的 B2B 型錄，只要把 \u003Ca href=\"\u002Ftag\u002Fai-agent\">AI agent\u003C\u002Fa> 放進搜尋、詢問、配置與路由流程，買家更快找到產品，銷售也能拿到更完整的上下文。Threekit 指出，導購式 agent 最多可把產品選擇時間縮短 60%。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>主要工作\u003C\u002Fth>\u003Cth>最佳結果\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>Intent-to-Lead\u003C\u002Ftd>\u003Ctd>收集意圖與上下文\u003C\u002Ftd>\u003Ctd>可直接交給經銷商的線索\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Natural Language Discovery\u003C\u002Ftd>\u003Ctd>把自然語言轉成產品條件\u003C\u002Ftd>\u003Ctd>更快比對產品\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Photo-to-Configuration\u003C\u002Ftd>\u003Ctd>讀取上傳圖片\u003C\u002Ftd>\u003Ctd>快速找到替換品\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Bundle Builder\u003C\u002Ftd>\u003Ctd>推薦完整方案\u003C\u002Ftd>\u003Ctd>提高平均訂單金額\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Qualification Agent\u003C\u002Ftd>\u003Ctd>蒐集預算與時程\u003C\u002Ftd>\u003Ctd>更好的線索評分\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Dealer Routing\u003C\u002Ftd>\u003Ctd>把線索送到對的夥伴\u003C\u002Ftd>\u003Ctd>更快跟進\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Self-Service Configuration\u003C\u002Ftd>\u003Ctd>讓買家自行配置\u003C\u002Ftd>\u003Ctd>降低對業務的依賴\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Proposal Generation\u003C\u002Ftd>\u003Ctd>整理報價與摘要\u003C\u002Ftd>\u003Ctd>更乾淨的交接\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Inventory-Aware Recommendation\u003C\u002Ftd>\u003Ctd>優先推薦有庫存品項\u003C\u002Ftd>\u003Ctd>較少缺貨延誤\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>Multi-Persona Experience\u003C\u002Ftd>\u003Ctd>依受眾調整互動\u003C\u002Ftd>\u003Ctd>更貼近不同訪客\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. \u003Ca href=\"https:\u002F\u002Fwww.threekit.com\u002F\">Threekit\u003C\u002Fa> 的 Intent-to-Lead 流程\u003C\u002Fh2>\u003Cp>這種流程把匿名瀏覽變成可追蹤的銷售機會。\u003Ca href=\"\u002Ftag\u002Fagent\">agent\u003C\u002Fa> 會追問幾個關鍵問題，套用型錄規則，並在線索送到經銷商前先補上產品上下文。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782313388636-gmuf.png\" alt=\"10 個把 B2B 型錄變成線索的 AI 工作流\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>它特別適合透過經銷商、通路商或雙軌模式銷售的製造商。好處很直接：少一些空白表單，多一些帶有選品、預算訊號與對話紀錄的線索。\u003C\u002Fp>\u003Cul>\u003Cli>用白話做導購\u003C\u002Fli>\u003Cli>支援 2D、3D 或 AR 視覺配置\u003C\u002Fli>\u003Cli>補上看過的產品與意圖訊號\u003C\u002Fli>\u003Cli>可部署在官網、經銷商入口與通路型錄\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 自然語言找產品流程\u003C\u002Fh2>\u003Cp>這個流程讓買家不用先學零件編號，也能直接描述需求。訪客可以用日常語言輸入技術條件，agent 再把範圍縮小到可行的匹配項。\u003C\u002Fp>\u003Cp>當買家知道問題、卻不知道 SKU 時，這種方式最有用。對終端客戶與需要快速跨產品線搜尋的經銷商來說，都能少走很多彎路。\u003C\u002Fp>\u003Cul>\u003Cli>可處理壓力、環境、尺寸等模糊條件\u003C\u002Fli>\u003Cli>透過追問逐步縮小範圍\u003C\u002Fli>\u003Cli>把自然語言映射到技術屬性\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 圖片轉配置流程\u003C\u002Fh2>\u003Cp>這個流程讓經銷商上傳現場照片，系統就回傳產品匹配。agent 會讀取影像、辨識品類，並建議替換或升級路徑。\u003C\u002Fp>\u003Cp>它很適合維修與替換銷售，因為現場\u003Ca href=\"\u002Fnews\u002Fopenai-daybreak-vuln-patching-speed-zh\">速度\u003C\u002Fa>比什麼都重要，沒人想在手機上慢慢翻型錄。唯一要注意的是，影像品質會直接影響判斷準確度。\u003C\u002Fp>\u003Cul>\u003Cli>以圖片辨識產品\u003C\u002Fli>\u003Cli>做舊件替換比對\u003C\u002Fli>\u003Cli>推薦更新或更高毛利的型號\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 組合方案建議流程\u003C\u002Fh2>\u003Cp>這個流程會把買家從單一 SKU 帶到完整解決方案。agent 不只停在主產品，還會補上配件、相容品與完成安裝所需的項目。\u003C\u002Fp>\u003Cp>在缺少配件就會引發支援電話或延後安裝的品類裡，這特別有價值。它也讓業務更容易拉高訂單總額，因為組合已經在對話中被建立起來。\u003C\u002Fp>\u003Cul>\u003Cli>找出必要與選配加購\u003C\u002Fli>\u003Cli>在報價前檢查相容性\u003C\u002Fli>\u003Cli>可導向更高毛利替代品\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>5. 線索資格判斷流程\u003C\u002Fh2>\u003Cp>這個流程會蒐集\u003Ca href=\"\u002Fnews\u002Fcursor-breakthrough-after-eight-false-starts-zh\">真正\u003C\u002Fa>有用的購買訊號，而不是只丟一個姓名和信箱給經銷商。它會先問時程、預算與決策角色，再決定\u003Ca href=\"\u002Fnews\u002Fcodex-log-bug-write-ssd-fix-zh\">怎麼\u003C\u002Fa>分派。\u003C\u002Fp>\u003Cp>這些額外資訊會直接改變第一次通話的品質。經銷商能更快排出優先順序，銷售團隊也不用花時間把弱需求和真需求分開。\u003C\u002Fp>\u003Cul>\u003Cli>蒐集時程以判斷急迫性\u003C\u002Fli>\u003Cli>用預算訊號做線索評分\u003C\u002Fli>\u003Cli>追問決策者以確認採購權限\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>6. 經銷商路由流程\u003C\u002Fh2>\u003Cp>這個流程會依地區、專長或帳戶規則，把合格線索送到正確的通路夥伴。當一家製造商同時合作很多經銷商時，這種分派邏輯特別重要。\u003C\u002Fp>\u003Cp>如果沒有路由規則，好的線索可能卡住，或落到不適合的夥伴手上。把路由做好後，買家更容易接觸到真的能報價、備貨或安裝的人。\u003C\u002Fp>\u003Cul>\u003Cli>依地理區域分派\u003C\u002Fli>\u003Cli>依專長選擇夥伴\u003C\u002Fli>\u003Cli>用規則控管經銷商分流\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>7. 自助配置流程\u003C\u002Fh2>\u003Cp>這個流程讓買家不用等業務，也能自己完成配置。agent 會引導步驟、檢查限制，並把使用者留在有效選項之內。\u003C\u002Fp>\u003Cp>它適合想降低業務依賴、但又不想犧牲正確性的團隊。買家速度更快，業務則能把時間留給更複雜的案子，而不是重複配置。\u003C\u002Fp>\u003Cul>\u003Cli>由買家主導產品設定\u003C\u002Fli>\u003Cli>配置過程即時檢查限制\u003C\u002Fli>\u003Cli>減少與內勤銷售的來回確認\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>8. 報價與提案生成流程\u003C\u002Fh2>\u003Cp>這個流程會把已選產品整理成格式化提案或方案摘要。對經銷商與業務來說，它比一個原始購物車或零散 SKU 清單更好交接。\u003C\u002Fp>\u003Cp>在 B2B 銷售裡，提案品質會影響成交速度與信心。當價格脈絡與產品細節已經整理好，下一步就更容易推進。\u003C\u002Fp>\u003Cul>\u003Cli>輸出格式化方案摘要\u003C\u002Fli>\u003Cli>保留產品與價格脈絡\u003C\u002Fli>\u003Cli>讓業務或經銷商接手更順\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>9. 庫存感知推薦流程\u003C\u002Fh2>\u003Cp>這個流程會優先推薦現貨品項，讓買家先看到真的能交付的選擇。當有多個可行方案時，它也可以把流量導向更高毛利的品項。\u003C\u002Fp>\u003Cp>這能減少報價延誤，也避免推薦出最後無法履約的產品。當供應吃緊或毛利目標很重要時，這種流程特別實用。\u003C\u002Fp>\u003Cul>\u003Cli>依庫存狀態排序\u003C\u002Fli>\u003Cli>優先顯示可立即供貨的項目\u003C\u002Fli>\u003Cli>提供毛利導向的替代建議\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>10. 多角色體驗流程\u003C\u002Fh2>\u003Cp>這個流程會把同一個 agent 調整成不同受眾版本，例如屋主、經銷商、建築師或業務。每一類人看到的語言、提示與引導都會跟著購買方式改變。\u003C\u002Fp>\u003Cp>這很重要，因為同一份型錄往往同時面對很多角色。屋主想要安心感，經銷商想要速度，業務則需要更多資格判斷細節。\u003C\u002Fp>\u003Cul>\u003Cli>依受眾調整提示與文案\u003C\u002Fli>\u003Cli>共用同一套型錄邏輯\u003C\u002Fli>\u003Cli>適合混合 B2B 與 B2C 旅程\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>哪種適合你\u003C\u002Fh2>\u003Cp>如果你最在意線索品質，先做 Intent-to-Lead 或 Qualification Agent。若買家常常說不清楚需求，Natural Language Discovery 會是最好的起點。若現場銷售常靠照片判斷，Photo-to-Configuration 最能省時間。\u003C\u002Fp>\u003Cp>想拉高訂單金額，就看 Bundle Builder 和 Inventory-Aware Recommendation。若你的通路結構複雜，Dealer Routing 與 Multi-Persona Experience 能幫你把對的人、對的內容、在對的時間送出去。\u003C\u002Fp>","10 種 AI agent 工作流，幫 B2B 型錄加速選型、補齊意圖訊號，並把更有價值的線索送到對的人手上。","www.threekit.com","https:\u002F\u002Fwww.threekit.com\u002Fblog\u002F10-ai-agent-workflows-for-complex-b2b-catalogs",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782313388636-gmuf.png","industry","zh","4202e347-3c3e-414a-a366-896a56216181",[17,18,19,20,21,22,23,24],"AI agent","B2B catalog","lead generation","guided selling","product discovery","dealer routing","configuration workflow","proposal generation",[26,27,28],"把型錄搜尋、詢問與配置交給 AI agent，可縮短選品時間並提高線索品質。","最先落地的通常是 Intent-to-Lead、Qualification Agent 與 Natural Language Discovery。","若有通路或多角色情境，Dealer Routing 與 Multi-Persona Experience 會放大成效。",0,"2026-06-24T15:02:32.787538+00:00","2026-06-24T15:02:32.772+00:00","caa87b65-9bbc-46fe-bba8-4f4158dd2d8b",{"tags":34,"relatedLang":37,"relatedPosts":41},[35],{"name":17,"slug":36},"ai-agent",{"id":15,"slug":38,"title":39,"language":40},"ai-agent-workflows-b2b-catalog-leads-en","10 AI agent workflows that turn B2B catalogs into leads","en",[42,48,54,60,66,72],{"id":43,"slug":44,"title":45,"cover_image":46,"image_url":46,"created_at":47,"category":13},"0ca173ef-42e8-413e-9631-b68375b5793b","openai-statistics-2026-users-revenue-funding-zh","OpenAI 2026 數據總覽","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782321481216-sj89.png","2026-06-24T17:17:35.945196+00:00",{"id":49,"slug":50,"title":51,"cover_image":52,"image_url":52,"created_at":53,"category":13},"fba9c922-207c-4e55-b54e-d4ea5e91af80","openai-custom-chip-right-move-against-nvidia-zh","OpenAI 自研晶片是對抗 Nvidia 的正確一步","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782320566922-cfk8.png","2026-06-24T17:02:18.227111+00:00",{"id":55,"slug":56,"title":57,"cover_image":58,"image_url":58,"created_at":59,"category":13},"be566572-a50a-4435-8323-a5a429965a18","claude-outages-reliability-problem-not-footnote-zh","Claude 連續當機不是插曲，而是可靠性危機","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782309769397-5806.png","2026-06-24T14:02:21.730992+00:00",{"id":61,"slug":62,"title":63,"cover_image":64,"image_url":64,"created_at":65,"category":13},"46d808dc-c7d1-4e82-8218-2c4955cd0559","openai-daybreak-vuln-patching-speed-zh","OpenAI Daybreak 把修補速度拉高了","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782307072264-w5kd.png","2026-06-24T13:17:27.763602+00:00",{"id":67,"slug":68,"title":69,"cover_image":70,"image_url":70,"created_at":71,"category":13},"4a816ea6-ba6b-4e44-b8b6-3eb89a8242fd","liveramp-openai-deal-2-2b-publicis-sale-zh","LiveRamp 與 OpenAI、Publicis 交易再受關注","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782300772754-thty.png","2026-06-24T11:32:26.184897+00:00",{"id":73,"slug":74,"title":75,"cover_image":76,"image_url":76,"created_at":77,"category":13},"55224fd4-42eb-441a-8c92-8963ab577141","ibm-openai-enterprise-security-ai-zh","IBM 與 OpenAI 押注企業安全 AI","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1782299872347-ekd5.png","2026-06-24T11:17:23.468693+00:00",[79,84,89,94,99,104,109,114,119,124],{"id":80,"slug":81,"title":82,"created_at":83},"ee073da7-28b3-4752-a319-5a501459fb87","ai-in-2026-what-actually-matters-now-zh","2026 AI 真正重要的事","2026-03-26T07:09:12.008134+00:00",{"id":85,"slug":86,"title":87,"created_at":88},"83bd1795-8548-44c9-9a7e-de50a0923f71","trump-ai-framework-power-speech-state-preemption-zh","川普 AI 框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":90,"slug":91,"title":92,"created_at":93},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":95,"slug":96,"title":97,"created_at":98},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":100,"slug":101,"title":102,"created_at":103},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":105,"slug":106,"title":107,"created_at":108},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":110,"slug":111,"title":112,"created_at":113},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":115,"slug":116,"title":117,"created_at":118},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":120,"slug":121,"title":122,"created_at":123},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 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