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AI Shopping Assistant for Ecommerce

Digitize the in-store experience with an AI assistant

AI shopping assistants boost engagement, reduce friction, and increase conversions by helping customers find exactly what they need.

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Join global brands adopting AI ecommerce tools to exceed their revenue goals

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Traditional shopping experiences are failing

Most ecommerce sites struggle to match customers with the right products. There are too many options buried beneath complex catalogs, leading to frustration and lost revenue. When shoppers can’t find what they need, they leave for competitors.

71%
of consumers expect personalization
81%
of adults aged 18-55 said Gen AI would be valuable when shopping online
56%
of consumers are more likely to become repeat buyers after a personalized online shopping experience

Modern ecommerce is not just about what you sell—it's about how well you connect your products to what your customers truly need.

20%
Increase in engagement rate
15%
Increase in PDP click rate
25%
Increase in conversion rate
27%
Increase in in-store revenue
Conversational product discovery

Transform static shopping experiences into engaging, AI-driven conversations that guide customers seamlessly to the right products.

  • AI-powered chatbot delivers natural, intuitive shopping interactions
  • Understands customer preferences, context, and purchase intent in real-time
  • Eliminates decision fatigue by recommending tailored product options

Hyper-personalized recommendations

Leverage AI-driven personalization to curate product recommendations that match each shopper’s unique needs and behaviors.

  • Uses behavioral data and AI insights to suggest the perfect product match
  • Delivers real-time personalization that evolves with customer interactions
  • Works across web, mobile, and in-store kiosks for a seamless omnichannel experience

Microsoft logo

Microsoft uses AI-powered product advisors to guide millions of customers around the world to the right product.

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canon logo

Canon automates customer guidance and increases conversion by 53%.

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Intent-based search & smart filtering

Make product discovery frictionless by ensuring customers find what they need—even if they don’t know how to search for it.

  • AI understands search intent, fixing typos, synonyms, and vague queries
  • Dynamically adjusts filters, product categories, and results based on user behavior
  • Provides accurate results from day one—no manual tuning required

AI-powered insights & optimization

Turn customer interactions into actionable insights to drive conversions and optimize merchandising strategies.

  • Learns from real-time user behavior to continuously refine recommendations
  • Provides data-driven insights for merchandising and campaign optimization
  • Supports A/B testing and performance tracking to measure effectiveness

Trek logo

Trek boosted conversions by 200% by engaging shoppers across their global network.

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Dicks logo

Dick's Sporting Goods helps customers to quickly find the perfect golf wedge.

How Zoovu’s AI shopping assistant works

The Generative AI Classifier within Zoovu’s Data Platform takes your product discovery to the next level, automatically transforming your catalog into a customer-centric powerhouse.

By leveraging advanced machine learning and Large-Language Models (LLMs), this tool applies subjective, needs-based tags, quantifies product relevance, and creates compelling explanations that speak to your audience’s unique desires. It’s not just classification—it’s your new competitive edge.

Simplify the shopping journey through intelligent conversations, dynamic recommendations, and real-time learning

Make your team more efficient

  • Structure and enrich product data
  • Fill gaps in the product catalog
  • Optimize discovery experiences
optimize enterprise search

Deliver better customer experiences

  • Optimize search and recommendations
  • Dynamic Q&A flows & hyper-personalized product information
  • Answer product-related questions in real-time
Cross selling

Use insights to optimize and expand with purpose

Information

  • Product related
    Example: How much storage does this laptop have?
  • Clarification related
    Example: What does DDR5 mean?
  • Use case related
    Example: Is this laptop good for traveling?

Insight

  • Purchase Indicators
    Example: Customers identifying as online gamers spent 2x more
  • Personas
    Example: Gamers from Germany prefer greater detail in the explanations
  • Product needs
    Example: The most common feature identified as a need before the purchase was a touchscreen

Action

  • More targeted marketing
    Example: Identify and target high-intent customers with retargeting campaigns
  • Merchandising strategy
    Example: Adjust product listings to show high-end items first for certain personas
  • PDP optimization
    Example: Highlight features that are asked about most or lead to conversions

Frequently asked questions

Zoovu uses AI and Natural Language Processing (NLP) to create conversational shopping experiences that adapt to customer preferences, intent, and behavior, ensuring they find the right products effortlessly.

Yes! Zoovu’s AI assistant integrates seamlessly across websites, mobile apps, chatbots, and in-store kiosks, ensuring a consistent omnichannel shopping experience.

By providing real-time, intent-based recommendations, AI personalization reduces friction in the buying journey, increasing conversions by up to 53% while enhancing customer satisfaction.

Better data, experiences, and intelligence drive better
outcomes every time.

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