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BETTER PRODUCT INPUT FOR AI. BETTER RECOMMENDATIONS FOR HUMANS.

I saw Iris Law wearing a Y2K sweater. Maybe stripes?
Kito bridges your backend and AI platforms to deliver shopping experiences that feel personal and brand-aligned. The result: recommendations people actually buy.
Humans search in subjective, situational ways. Increasingly, those signals are interpreted by AI. Most product data was never designed for that kind of discovery.
BUILT FOR TODAY’S PRODUCT DISCOVERY.
Kito transforms your product and brand data into structured understanding for AI-driven comparison and recommendation, at scale. Built to integrate with your existing stack: Akeneo, Salsify, Shopify, Salesforce Commerce Cloud, BigCommerce, and custom product data systems.

HOW KITO’S INTELLIGENCE LAYER WORKS.

External
Market signals
Micro and macro trends
Consumer intelligence
Industry-specific language
Internal
Brand & product intelligence
Product data and SKU’s
Inventory data and pricing
Product reviews
Brand guidelines
INPUT

KITO REASONING LAYER

OUTPUT
Actions
Connected to AI-powered discovery surfaces (e.g. Google Shopping, ChatGPT, Meta AI)
Performance
Live performance dashboards
Intelligence
Customer behaviour analysis
Product performance signals
Kito analyses millions of signals across social listening, trend data, product catalogs, and brand-owned information to generate AI-ready understanding for accurate recommendations at scale.

Platform-agnostic. Model-independent.
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