Comparison

How Kinect compares

Kinect is not a chatbot, a search engine, or a recommendation widget. It's an intent-first AI commerce platform that understands what shoppers actually want. Here's how it compares to the tools brands use today.

Kinect vs. Traditional Site Search

Examples: Algolia, Searchspring, Klevu

Their approach

Keyword matching with filters and facets

  • Treats queries as keyword bags — no understanding of intent or context
  • Returns hundreds of loosely-matched results for the shopper to sift through
  • Cannot handle natural language queries like "laptop for video editing under $1500"
  • No ability to ask clarifying questions or guide the shopper

Kinect

Intent-first AI commerce

  • Understands what shoppers mean, not just what they type
  • Asks 1–2 smart questions instead of showing 10,000 results
  • Scores products on how well they match intent — doesn't hard-filter
  • Explains why each recommendation fits the shopper's needs

Kinect vs. E-Commerce Chatbots

Examples: Tidio, Drift, Intercom, Gorgias

Their approach

Support-focused chat widgets that sit on top of the site

  • Built for support tickets, not product discovery
  • Generic responses that don't understand the product catalog
  • Feel like talking to a help desk, not a knowledgeable sales associate
  • Separate from the shopping experience — an add-on, not integrated

Kinect

Intent-first AI commerce

  • Lives inside the storefront as a native shopping experience
  • Understands the full catalog semantically — every product, every attribute
  • Speaks the brand's voice — tone, terminology, personality
  • Acts as a sales associate, not a support agent

Kinect vs. Marketplace AI Assistants

Examples: Amazon Rufus, Google Shopping AI

Their approach

Platform-controlled AI that keeps shoppers inside the marketplace

  • Pulls shoppers away from the brand's own storefront
  • Brand has no control over the experience, voice, or recommendations
  • Optimizes for the marketplace's revenue, not the brand's
  • Conversion rates 3x worse than brand-owned experiences (Walmart + ChatGPT data)

Kinect

Intent-first AI commerce

  • Keeps the experience on the brand's own storefront
  • Brand controls the voice, recommendations, and data
  • Optimizes for the brand's conversion and AOV goals
  • First-party intent data stays with the brand

Kinect vs. Recommendation Engines

Examples: Nosto, Dynamic Yield, Rebuy

Their approach

Click-behavior analysis to show "similar" or "you might also like" widgets

  • Reactive — based on what the shopper already clicked, not what they want
  • Cannot handle complex, multi-constraint queries
  • No ability to understand stated intent or ask questions
  • Limited to "similar items" logic — misses cross-category opportunities

Kinect

Intent-first AI commerce

  • Proactive — understands stated intent from natural language
  • Handles complex queries: "gift for my dad who likes golf, under $100"
  • Combines stated intent with behavioral signals for better recommendations
  • Surfaces cross-category bundles and complementary products

See the difference on your store

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