6 Best AI Shopping Assistants for Salesforce Commerce Cloud in 2026
Explore the best 6 AI shopping assistants for Salesforce Commerce Cloud. AI boosts conversions and AOV with real-time catalog sync, conversational search, and safe, on-brand automation.
Choosing an AI shopping assistant for Salesforce Commerce Cloud (SFCC) boils down to three things: proven SFCC integration, revenue-driving features (guided discovery, recommendations, conversational search, personalization), and enterprise-grade scalability with guardrails.
But not every AI assistant plays well with Salesforce’s ecosystem. Many lack deep integration, can’t sync product data instantly, or fail to scale with enterprise-level catalogs. That’s why we’ve curated this guide to the best AI shopping assistants for Salesforce Commerce Cloud, led by Alhena AI, an advanced, hallucination-free AI platform built to boost sales and automate customer support without breaking brand trust.
This guide curates the best SFCC-ready assistants. This blog highlights the top AI shopping assistants that integrate with Salesforce Commerce Cloud, comparing their strengths, use cases, and integration methods.
What is an AI shopping assistant?
An AI shopping assistant is the digital equivalent of a store associate for ecommerce. Unlike traditional chatbots with scripted responses, assistants like Alhena AI use conversational AI, product data, and real-time integrations to help shoppers discover, compare, and purchase products directly within the storefront experience.
For Salesforce Commerce Cloud (SFCC) retailers, AI assistants can turn conversations into conversions, reduce cart abandonment, and enhance customer satisfaction like a true revenue channel, not just a support widget.
How AI assistants fit into an SFCC architecture
- Data layer: Syncs with SFCC product catalog, pricing, inventory, reviews, and help center.
- Experience layer: Embeds into your SFRA or SiteGenesis storefront UI.
- Commerce actions: Uses SFCC APIs (REST/OCAPI) for product search, cart, checkout, and returns.
- Support layer: Escalates complex queries to Zendesk, Freshdesk, or Gorgias.
- Analytics: Tracks intent data, AOV impact, CSAT, and drop-offs for optimization.
Integration paths for AI in SFCC:
- Cartridge-based: Pre-built connectors for a managed experience.
- API-first: Lightweight middleware calling SFCC APIs directly.
- Custom integration: Fits into existing middleware or ESB pipelines.
The 6 Best AI Shopping Assistants for SFCC
1. Alhena AI
Alhena AI is an enterprise-grade generative AI platform built specifically for ecommerce and customer support. Unlike generic chatbots, it delivers hallucination-free, on-brand answers and turns every shopper interaction into an opportunity to drive revenue, loyalty, and efficiency.
Key Features
- Conversational search that replaces traditional catalog browsing with AI-driven discovery.
- Guided product discovery, nudges, upsells, and personalized recommendations.
- Advanced Agentic commerce tools like Skin Analyzer, Shade Matcher, Virtual Try-On, and Fit Analyzer for beauty and fashion.
- Unified support actions: order status, returns, refunds, and escalations.
- Omnichannel coverage: chat, email, SMS, and social.
- Enterprise-grade privacy and security (SOC 2 posture).
SFCC Integration
- Native integration with Salesforce Commerce Cloud to sync catalog, pricing, and inventory in real time.
- REST/OCAPI APIs for cart, checkout, and returns.
- Escalations via Salesforce, Zendesk, Freshdesk, Gorgias, or any other tech stack.
Learn more: Alhena AI Salesforce Commerce Cloud Integration.
Strengths
- Ecommerce-first design with advanced shopping assistants.
- Proven 300%+ conversion lift and 30% AOV growth.
- Zero-hallucination design for safe, accurate answers.
- Fast setup with low maintenance (auto-ingests catalogs, FAQs, and tickets).
- Multiple agentic commerce complement each other to drive engagement.
- Works seamlessly across support and sales use cases.
Best Fit
- Ecommerce brands with large catalogs, FAQs, or repeat ticket volumes.
- Teams focused on high accuracy, upsells, and brand-safe automation.
- Enterprises need a scalable, secure, omnichannel solution.
- Brands looking to generate Revenue
2. Salesforce Einstein / Agentforce
Einstein and Agentforce are Salesforce’s built-in AI for Commerce Cloud: product recommendations, predictive sort, personalized discovery, and emerging shopper agents for guided shopping and order help.
Key features
- Recommendations & predictive sort to tailor PLPs/search results.
- Agentforce “personal shopper”/agentic commerce for conversational browsing, reordering, and status checks.
SFCC integration
- Native to Salesforce Commerce Cloud with cartridges, Copilot tools, and REST/OCAPI APIs.
Strengths
- One-stack simplicity (data/security/governance inside Salesforce), proven merchandising tools, and a roadmap around agentic commerce.
Best Fit
SFCC retailers already invested heavily in Salesforce across Commerce, Service, and Marketing.
3. Coveo AI
Coveo AI is a well-established leader in AI-powered search, personalization, and recommendations for enterprise ecommerce. Unlike general-purpose chatbots, Coveo specializes in AI discovery and merchandising with proven Salesforce Commerce Cloud (SFCC) integrations.
Key Features
- AI-powered semantic search and predictive product discovery.
- Personalized recommendations based on behavior, intent, and context.
- Merchandising dashboards to fine-tune product relevance.
- Analytics for customer journeys and search optimization.
SFCC Integration
- Native cartridges and connectors for SFRA/SiteGenesis storefronts.
- Uses REST/OCAPI APIs to index catalog, pricing, and inventory in real time.
Strengths
- Enterprise-grade personalization and AI search.
- Proven scalability for large SFCC catalogs.
- Strong merchandising and analytics capabilities.
Best Fit
Global SFCC brands with large catalogs that want advanced AI-powered search and personalized recommendations alongside merchandising control.
4. Klevu AI
Klevu AI is a popular AI-powered search and discovery platform designed for ecommerce brands, including mid-market retailers using Salesforce Commerce Cloud. It emphasizes semantic search, navigation, and recommendations to improve shopper engagement and conversions.
Key Features
- Natural language product search with auto-suggestions.
- AI-powered product recommendations and dynamic navigation.
- Easy-to-use merchandising and search tuning.
- Plug-and-play setup for faster ROI.
SFCC Integration
- Provides Salesforce Commerce Cloud cartridges for SFRA storefronts.
Strengths
- Quick deployment with ready-to-use SFCC cartridges.
- Strong semantic search for better catalog navigation.
- Affordable and effective for mid-market and scaling brands.
Best Fit
SFCC retailers are looking for a lightweight, cost-effective AI search and recommendation solution to enhance product discovery and boost conversions without heavy engineering.
5. Yellow AI
Yellow.ai is a conversational AI platform that combines chat, voice, and automation to power customer support and commerce. It positions itself as an AI shopping assistant by offering guided conversations, product FAQs, and order tracking, though its heritage is broader CX automation rather than commerce-specific product discovery.
Key features
- AI-powered chat and voice bots that automate FAQs, order status, returns, and appointment booking.
- Multilingual support across 100+ languages for global brands.
- Pre-built industry templates for ecommerce, banking, travel, and retail.
- Analytics and dashboards to track conversation flows and customer intent.
SFCC Integration
- Connects via Salesforce Service/Marketing Cloud; Commerce Cloud support typically requires APIs or middleware.
Strengths
- Excellent for global brands that need multilingual support at scale.
- Strong voice AI and omnichannel reach beyond just chat.
- Flexible platform with pre-built templates for rapid deployment.
Best Fit
Enterprises looking for a broad conversational AI platform across multiple use cases. Retailers with a strong focus on multilingual CX rather than commerce-specific AI shopping experiences.
6. ZEALS.ai
Zeals.ai positions itself as a conversational commerce platform that enables brands to turn customer chats into transactions. It focuses on guided shopping journeys, AI-driven recommendations, and checkout assistance, and is one of the few providers that has built a Salesforce Commerce Cloud (SFCC) cartridge to streamline integration.
Key features
- Conversational chatbots for ecommerce that drive sales directly from chat.
- Guided shopping flows, promotions, and personalized product recommendations.
- AI-powered automation for cart recovery, reminders, and upselling.
- Integrates across web, messaging apps, and mobile for omnichannel reach.
SFCC Integration
- Provides an official SFCC cartridge for SFRA storefronts, enabling catalog-aware conversations.
Strengths
- The native SFCC cartridge makes integration easier for Salesforce Commerce Cloud teams.
- Strong focus on conversational commerce and transaction enablement.
- Good for brands seeking a fast lift in engagement and sales via messaging-driven shopping.
Best Fit
SFCC retailers seeking transaction-focused chatbots with straightforward integration.Teams prioritizing commerce actions first over unified support automation.
How to Choose the Right AI Shopping Assistant for SFCC
The best AI shopping assistant for Salesforce Commerce Cloud (SFCC) should match your brand’s scale, tech stack, and CX goals while driving measurable lifts in conversions and AOV.
Look for tools that can handle large catalogs with real-time sync, integrate seamlessly with Salesforce and help desks, support multilingual and guided discovery, and enforce guardrails against hallucinations. Performance, scalability, and vendor maturity also matter. Proof of ROI and transparent pricing are key.
Salesforce Commerce Cloud brands face complex catalogs, multi-site rollouts, and omnichannel journeys. An AI shopping assistant like Alhena AI with native SFCC integration, hallucination-free answers, and revenue-first design ensures you don’t just add another widget but unlock a measurable lift in conversions, AOV, and customer satisfaction.
Best Practices for Implementing & Integrating AI for SFCC
Getting the most from an AI shopping assistant on Salesforce Commerce Cloud (SFCC) requires more than just plug-and-play. Success depends on smart integration, data alignment, and continuous optimization. Here’s a proven playbook:
- Storefronts: Use SFRA for smoother embedding; wrap SiteGenesis with lightweight controllers; for headless, add a thin SDK.
- Integration: Cartridges enable quick embedding; API-first works best for omnichannel. Keep a shared service layer.
- Data alignment: Sync catalog, pricing, inventory, and profiles in real time via a unified ingestion pipeline.
- Testing & guardrails: Enforce retrieval with citations, block hallucinations, and enable fallback to FAQs or agents.
- Rollout & metrics: Start small (FAQs, order tracking), expand to commerce flows, and track CSAT, AOV, and conversions.
- Maintenance: Retrain weekly, ingest new data automatically, and monitor flagged conversations.
With Alhena AI’s native SFCC integration, hallucination-free architecture, and commerce-first design, brands can accelerate deployment, reduce support load, and unlock sustained lifts in conversion, AOV, and customer retention.
The New AI Standard for SFCC
The next wave of AI shopping assistants for Salesforce Commerce Cloud (SFCC) is moving toward agentic commerce autonomous agents that not only answer but also act, helping shoppers discover, compare, and complete purchases in real time. Salesforce’s own roadmap with Agentforce highlights this shift, where search, chat, and recommendations converge into a single experience inside the storefront.
Looking ahead, the focus won’t just be on smarter conversations; it will be on trust, governance, and auditability. Retailers will expect assistants that are hallucination-free, auditable, and compliant with enterprise standards. With its zero-hallucination guardrails, native SFCC integration, and commerce-first design, Alhena AI is built for this future.
Conclusion
Each AI assistant brings unique strengths: Salesforce Einstein for native personalization, Coveo and Klevu for advanced search, Yellow AI for multilingual CX, and ZEALS.ai for transaction-focused conversational flows.
Choose Alhena AI if you’re looking for a true all-in-one solution that unifies shopping guidance, AI-powered search, product recommendations, upsells, and support automation with native SFCC integration, real-time catalog and pricing sync, and zero-hallucination accuracy. It unifies shopping and support in one platform.
The best path forward is to start small with a proof of concept automating FAQs, order tracking, or conversational search, and then expand to guided discovery, upsells, and omnichannel automation once you see measurable lifts in conversion, AOV, and CSAT.
To explore how this works in practice, book a demo of Alhena AI and see how it can transform your SFCC store or any existing stack into a revenue-driving, customer-first experience.
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