--- type: feature title: "AI Ecommerce Product Recommendations" description: "Runner AI で購買意図、在庫、利益率、コンバージョンデータを使い、関連性の高い商品を推薦します。" category: ai-cro h1: "AI ストア文脈で商品をレコメンド" legacyKind: structured image: "https://images.unsplash.com/photo-1556742044-3c52d6e88c62?q=80&w=1000&auto=format&fit=crop" keyword: "ai ecommerce product recommendations" --- ## AI Ecommerce Product Recommendations for the whole store. AI ecommerce product recommendations should adapt to shopper intent, stock, margin, and active campaigns. Runner AI chooses suggestions from store context instead of showing the same carousel everywhere. ![(Runner AI maps intent, inventory, margin, and product relationships)](https://images.unsplash.com/photo-1556742044-3c52d6e88c62?q=80&w=1000&auto=format&fit=crop) [Start free - create smart recommendations](https://www.runnerai.com/ja/auth/login) No credit card. Cancel anytime. *[Runner AI maps intent, inventory, margin, and product relationships]* ## Show the next right product, not every product. Recommendations work when they understand why the shopper is browsing and what the store can profitably fulfill. ### Use live context Runner AI reads views, carts, inventory, margin, and campaign rules before choosing a slot. ![Use live context](https://images.unsplash.com/photo-1556742044-3c52d6e88c62?q=80&w=600&auto=format&fit=crop) ### Test like CRO Homepage, PDP, cart, and post-purchase modules can be tested separately. ![Test like CRO](https://images.unsplash.com/photo-1551288049-bebda4e38f71?q=80&w=600&auto=format&fit=crop) ### Align message and offer Copy, bundle, and offer stay connected to the reason for the recommendation. ![Align message and offer](https://images.unsplash.com/photo-1542744095-fcf48d80b0fd?q=80&w=600&auto=format&fit=crop) ### Avoid bad suggestions Runner AI uses availability, shopper stage, and merchandising constraints before showing products. ![Avoid bad suggestions](https://images.unsplash.com/photo-1556745757-8d76bdb6984b?q=80&w=600&auto=format&fit=crop) ## For teams that connect discovery and revenue. > Recommendations are decisions about what appears next, why it matters now, and how it affects conversion, margin, and trust. > > — Runner AI product team, Conversion workflow note ## AI ecommerce product recommendations need a reason. Runner AI treats recommendation slots as conversion decisions. It reviews journey, viewed product, inventory, rules, and active offers. The same context used for ai ecommerce conversion optimization helps decide the right product, message, and moment. ![AI ecommerce product recommendations need a reason.](https://images.unsplash.com/photo-1556761175-5973dc0f32e7?q=80&w=800&auto=format&fit=crop) [Explore ai ecommerce conversion optimization](/ja/ai-ecommerce-conversion-optimization) [Browse all Runner AI features](https://www.runnerai.com/ja/ja) ## Recommendations should learn from analytics. Clicks alone can mislead. Runner AI connects recommendations to ai ecommerce analytics so teams can see add-to-cart, checkout progress, order value, and product fit. ![Recommendations should learn from analytics.](https://images.unsplash.com/photo-1551288049-bebda4e38f71?q=80&w=800&auto=format&fit=crop) [Connect to ai ecommerce analytics](/ja/ai-ecommerce-analytics) [Compare with AI ecommerce A/B testing](/ja/ai-ecommerce-a-b-testing) ## Recommend without noise. Homepage discovery, PDP add-ons, cart extras, and post-purchase replenishment are different jobs. Runner AI separates them and shares one source of truth. ![Recommend without noise.](https://images.unsplash.com/photo-1556745757-8d76bdb6984b?q=80&w=800&auto=format&fit=crop) [無料プランで始める](https://www.runnerai.com/ja/workspace) > A good recommendation is available, explainable, profitable, and useful at the moment of decision. > > — Runner AI conversion principle ## Social proof For ecommerce teams connecting discovery, CRO, and merchandising. - Live inventory - CRO tests - Analytics decisions ## How recommendations work in Runner AI ### What are AI ecommerce product recommendations? Suggestions selected from shopper behavior, product relationships, and store context such as cart, stock, margin, campaigns, and conversion data. ### Where can Runner AI place them? Homepages, collections, PDPs, carts, post-purchase flows, and lifecycle messages. ### How is this different from a bestseller carousel? Runner AI decides whether to show an add-on, alternative, replenishment item, or no recommendation. ### Can recommendations lift AOV without hurting trust? Yes, when suggestions are relevant, available, and restrained. ### Do recommendations need A/B testing? Yes. Placement, headline, mix, and timing change conversion. ## Ready to recommend with context? Use inventory, intent, and conversion data for smarter product discovery. - Live signals - CRO tests - Connected discovery > リアルタイムの在庫、利益率、購入者の意図を読み取って、各スロットに汎用的なベストセラーではなく相性の良いアドオン、バンドル、補充商品を表示する商品レコメンドブロックを作って。 [無料プランで始める](https://www.runnerai.com/ja/auth/login?prompt=%E3%83%AA%E3%82%A2%E3%83%AB%E3%82%BF%E3%82%A4%E3%83%A0%E3%81%AE%E5%9C%A8%E5%BA%AB%E3%80%81%E5%88%A9%E7%9B%8A%E7%8E%87%E3%80%81%E8%B3%BC%E5%85%A5%E8%80%85%E3%81%AE%E6%84%8F%E5%9B%B3%E3%82%92%E8%AA%AD%E3%81%BF%E5%8F%96%E3%81%A3%E3%81%A6%E3%80%81%E5%90%84%E3%82%B9%E3%83%AD%E3%83%83%E3%83%88%E3%81%AB%E6%B1%8E%E7%94%A8%E7%9A%84%E3%81%AA%E3%83%99%E3%82%B9%E3%83%88%E3%82%BB%E3%83%A9%E3%83%BC%E3%81%A7%E3%81%AF%E3%81%AA%E3%81%8F%E7%9B%B8%E6%80%A7%E3%81%AE%E8%89%AF%E3%81%84%E3%82%A2%E3%83%89%E3%82%AA%E3%83%B3%E3%80%81%E3%83%90%E3%83%B3%E3%83%89%E3%83%AB%E3%80%81%E8%A3%9C%E5%85%85%E5%95%86%E5%93%81%E3%82%92%E8%A1%A8%E7%A4%BA%E3%81%99%E3%82%8B%E5%95%86%E5%93%81%E3%83%AC%E3%82%B3%E3%83%A1%E3%83%B3%E3%83%89%E3%83%96%E3%83%AD%E3%83%83%E3%82%AF%E3%82%92%E4%BD%9C%E3%81%A3%E3%81%A6%E3%80%82) ## 関連機能 - [ガイド販売向け AI Ecommerce Quiz Builder](/ja/ai-ecommerce-quiz-builder) - [リピート収益のためのAI Eコマースリテンション自動化](/ja/ai-ecommerce-retention-automation) - [AIによるECサイト検索最適化でストアの検索を収益チャネルに変える](/ja/ai-ecommerce-search-optimization) - [すべての機能を見る](/ja)