AI Shopping Assistant 2025: A Smarter Look
Discover how AI shopping assistants are transforming ecommerce in 2025. Compare top platforms and learn why Alhena AI is the leading AI shopping assistant platform for personalized search, recommendations, and revenue-driving conversational commerce.
đź•’ 8 min read
In 2025, AI shopping assistants has become a core AI tool for every online shop. These AI-powered systems act like digital sales experts, helping shoppers search, discover products, get real-time recommendations, and check out instantly. While platforms like Gorgias, Dynamic Yield, iAdvize, and Bloomreach are still rolling out beta features, Alhena AI is already an agentic AI assistant built for real ecommerce needs, delivering speed, personalization, and true AI power across the entire shop journey.
In this guide, we break down how today’s best AI shopping assistants work, who’s leading, and how they’re boosting sales, customer satisfaction for modern ecommerce companies.
TL;DR
AI shopping assistants help shoppers discover, decide, and buy using AI-powered recommendations, natural language search, and personalized guidance. Tools vary, but Alhena AI is the leading AI assistant for retailers who want an AI-native, commerce-ready solution that boosts conversions, AOV, and customer satisfaction.
What Is an AI Shopping Assistant?
An AI shopping assistant is a digital sales expert, far more advanced than old chatbots. Instead of answering scripted FAQs, it uses agentic reasoning, AI-powered search, and real-time recommendation logic to guide shoppers from browse to buy inside one seamless conversation.
Unlike old-school bots with scripted FAQs. They leverage artificial intelligence and machine learning to analyze data and offer personalized content, helping brands optimize operations and drive sales. They anticipate needs, recommend products, and boost conversion rates, making online shopping smoother for companies and shoppers alike.
Why Implementing AI Shopping Assistants Matters?
Across e-commerce, the real competitive edge is now speed, personalization, and predictive understanding. using shopping AI assistants deliver exactly that through:
- Conversational search that understands vague or broad queries like “summer shoes for Italy”
- In-chat commerce that lets users browse, bundle, and buy all within the conversation
- Smart FAQs that evolve with shopper behavior, making support feel less like a script and more like a service
- AI-powered nudges and contextual promotions that increase order value at just the right moment
- Session-based recommendations based on what shoppers are browsing or adding to their cart right now
- Instant checkout inside chat to remove friction and reduce drop-offs
- Site personalization that changes content and offers based on real-time intent
- Voice-enabled shopping for hands-free convenience on mobile or smart devices
- Product boosts surface strategic or trending items in the conversation
The Real Shift: Conversational Commerce & Customer Engagement
Modern AI shopping assistants are essential 24/7 digital sales experts, acting as the new storefront in e-commerce. They offer personalized experiences and drive conversions without needing extra staff.
So, how do you choose? Let’s see how Gorgias, Dynamic Yield, iAdvize, and Bloomreach stack up in AI-powered conversational commerce.
While many tools simply add AI to older systems, Alhena AI is built AI-first, optimizing the entire customer journey from product discovery to in-chat checkout with smart, data-driven recommendations.

How to Overcome Challenges in E-commerce?
To achieve the best results from your AI shopping assistant, brands must master real-time system integration, safeguard customer data, and maintain clear and natural responses. With ongoing updates and transparency, your AI becomes a true revenue driver, boosting trust, conversions, and loyalty across every step of the shopping journey.
Feature-by-Feature: What Sets These Platforms Apart
The world of AI shopping assistants is buzzing. Here’s how key players compare on features vital for e-commerce companies in 2025, from instant personalization and smart use of customer data to boosting sales, improving customer engagement, and expanding the customer base.
Real-Time Product Discovery & Recommendations
Alhena goes beyond keywords, it understands what shoppers mean, even if they’re vague. It asks smart follow-up questions, taps live product data, and brings up the best-fit items right inside the chat. Shoppers can clarify, compare, bundle, and buy without jumping from page to page.
Dynamic Yield (Shopping Muse) does well with visual and style-based discovery. Shoppers can search with phrases like “cottagecore dress” or upload a photo to find similar items. It’s helpful for inspiration, though the final checkout often still happens back on the main site.
Gorgias shines at quick product suggestions inside support, like upsells or swaps during a ticket, but it’s not built for open-ended browsing.
iAdvize Copilot can proactively ask what a shopper wants and suggest 1–3 matches. Good for basic recs and quick answers, but complex discovery often goes to a human.
Bloomreach Clarity is excellent at conversational search and autosuggest. It rescues vague or failed searches by clarifying in real time, but the deeper flow usually hands off to the main site experience.
Conversational AI, Search & Commerce
Alhena: Combines real conversational AI, semantic search, and seamless in-chat commerce. It understands vague queries, asks clarifying questions, shows relevant products instantly, and lets shoppers buy inside the same conversation no dead ends.
Dynamic Yield: Excellent at conversational search plus image upload, but its focus leans more toward recommendations than full purchase flow inside chat.
Gorgias: Great for conversational help and simple upsells in a support flow, but it’s still more of a ticket resolver than a true commerce co-pilot.
iAdvize: Natural dialogue with proactive engagement is strong, but shoppers often need a handoff to a human for anything complex.
Bloomreach Clarity: Outstanding for conversational search in the search bar and autosuggest. Strong for narrowing options, but transactions usually kick back to the site.
Smart Bundles & Smart FAQs
Alhena: Auto-creates bundles based on real cart and catalog logic, not generic “people also bought.” Automates routine tasks such as answering FAQs and supports inventory management by providing real-time product availability. Handles detailed FAQs live in chat: shipping, specs, and returns are done without opening a new page.
Dynamic Yield: Good at styling bundles and cross-sells tied to user context. FAQs still rely on wider site content.
Gorgias: Excellent FAQ handling for support tickets. Bundles exist, but are often tied to manual promotions.
iAdvize: Handles basic FAQs well and suggests 1–3 relevant products, but not deeply dynamic bundles.
Bloomreach: Strong on product data depth, but bundles are more manual. FAQs mostly tie back to help docs.
Smart AI Nudges
Alhena: Proactive, behavior-based nudges when a shopper hesitates. “Still thinking? Here’s 10% off if you check out now.” These smart nudges help boost overall sales and save time by encouraging hesitant customers to complete their purchases.
Dynamic Yield: Good for personalized recommendations and upsell widgets, less focused on real-time, in-chat nudging.
Gorgias: Uses smart discounts during support or cart support. Nudging is tied to intent-based tickets, not always site-wide.
iAdvize: Conversation starters pop up contextually helpful, but more for starting the chat than nudging during checkout.
Bloomreach: Great for autosuggest and PDP triggers, less for mid-conversation nudging to close the sale.
Voice AI for Customer Interactions
Alhena: Ready for voice shoppers can ask, “Show me bestsellers under $50” or “Track my order” hands-free.
Dynamic Yield: Primarily chat and search. No native voice capability highlighted.
Gorgias: No dedicated voice shopping flow.
iAdvize: Multilingual, but no mainstream voice AI yet.
Bloomreach: Focuses on text-based conversational search.
Site Personalization & Context Awareness
Alhena: Adapts suggestions, nudges, and promotions live based on cart contents, past purchases, and browsing behavior, even changes conversation tone to match. Its personalization features are designed with data privacy in mind, ensuring customer information is handled securely.
Dynamic Yield: Strong on personalization, its core DNA. Context-aware styling and recommendations are excellent.
Gorgias: Context from past tickets helps, but it is more support-focused than site personalization.
iAdvize: Basic personalization based on product criteria and FAQ context.
Bloomreach: Big on dynamic search results and category re-ranking, excellent for content and search personalization.
Product Boost & Revenue Potential
Alhena: Built for sales lift, brands use it to push trending SKUs, boost bundles, and raise AOV with smart cross-sells, all directly in the conversational commerce context.
Dynamic Yield: Strong merchandising tools for product boost, but often site widgets, not conversational.
Gorgias: Leverages upsells in support of great retention plays, but is less about real-time boost campaigns.
iAdvize: Can highlight bestsellers and push relevant stock, but leans more on Q&A flow.
Bloomreach: Uses smart search rules to lift strategic SKUs but focuses on search result pages, not full conversation flow.
Revenue-Driven Conversational Commerce, Not Just Chat
This is where the real difference shows. Alhena isn’t just about quick answers or basic support; it’s designed to help turn conversations into conversions. Every feature, from smart nudges to real-time bundles, works together to help raise average order value and move products naturally, without feeling pushy.
Other platforms touch parts of this maybe stronger discovery here, a simple upsell there, but Alhena’s strength is how it brings it all together in one smooth, live flow that feels on-brand and effortless for the shopper.
Real-World Use Cases: AI Shopping Assistants at Work
It’s one thing to talk about features, but what happens when AI shopping assistants go live? For travel brand Manawa and UK gardening retailer Crocus, the results speak for themselves.
Manawa, which runs adventure tours across Europe, used to brace for summer with huge spikes in simple, repetitive questions. Hiring more staff every season just to keep up wasn’t sustainable.

Meanwhile, Crocus, the UK’s leading online gardening retailer, faces seasonal spikes too, when spring hits, care questions triple overnight. Their team needed an AI that could handle detailed plant advice without losing the human feel.

By training Alhena on plant care guides and integrating it with Freshdesk, Crocus deflects 86% of common tickets, cuts seasonal hiring costs, and keeps CSAT steady at 84%, even at peak times.

From outdoor adventures to garden questions, smart AI shopping assistants help brands handle surges in website visitors, reduce repetitive tasks, and keep the human team focused on what drives revenue, without losing the personal touch.
Curious how brands like Manawa and Crocus made it work? See more real customer stories here.
Which AI Shopping Assistant Is Right for Your Business?
The best AI shopping assistant is the one that matches your customers, your data, and your shop journey. Alhena covers the full path, from AI-powered search to recommendations and checkout, while tools like Dynamic Yield, Gorgias, iAdvize, or Bloomreach serve narrower needs.
Test each AI assistant with real queries and real shoppers. The right AI agent won’t just chat; it will guide intent, personalize every step, and turn browsing into buying with speed and accuracy.
Conclusion
AI isn’t just powering search anymore, it’s powering shopping itself. What once began as chatbots answering simple queries has evolved into AI assistants that act as personal shoppers, product recommenders, and commerce copilots all at once.
With platforms like Alhena AI, retailers can now use AI to deliver hyper-personalized journeys, from visual search and real-time recommendations to in-chat checkout and voice AI. It’s the difference between reacting to customers and guiding them toward what they actually want.
If you’re a modern online retailer serious about conversions, now is the time to move beyond chatbots and embrace Agentic AI. Because the next wave of commerce isn’t just AI-powered it’s AI-owned. Alhena AI isn’t a feature. It’s your brand’s smartest shop assistant, always learning, always selling.
Visit the Alhena Product Page to explore features in detail. Request a demo, or go through the case studies and see how brands like yours are already winning with Alhena.
FAQs
What is an AI Shopping Assistant?
An AI shopping assistant is an intelligent conversational tool that helps customers discover products, ask questions, and complete purchases through natural, human-like interactions. It uses agentic AI, natural language understanding, and recommendation algorithms to guide customers through the buying journey, from search to checkout.
Can AI shopping assistants handle multiple languages?
Yes. Alhena AI supports multilingual conversations across regions, helping global brands maintain consistent CX and brand voice while engaging customers in their preferred language.
Are AI shopping assistants safe and compliant?
Yes. Leading platforms like Alhena AI ensure enterprise-grade security with SOC 2, GDPR, and CCPA compliance. All customer data is encrypted, anonymized, and used responsibly to train contextual understanding, not to collect personal data.
What platforms does Alhena AI integrate with?
Alhena AI integrates seamlessly with every helpdesks (like Zendesk, Freshdesk, Zoho Desk, Salesforce), and eCommerce platforms (like Shopify, WooCommerce, BigCommerce, Magento).