Agentic Discovery Engine | Turn Undecided Buyers into Confident Ones | Kleio

Kleio Agentic Discovery Engine

Turn undecided buyers into confident ones, in conversation

Buyers who engage a Kleio-guided journey convert 2–3X more often.

The Agentic Commerce discovery layer that helps buyers in high-consideration categories build a preference by reacting to real products, turning vague intent into a confident, high-value decision.

~60% of buyers don't initially know what they want
100M+ variants and choices in the industries we serve
20x faster product discovery than with humans
99% accuracy

The Problem

Buyers arrive with a pull, not a specification

In complex, high-consideration purchases (real estate, travel, automotive, hospitality, wholesale, manufacturing, big-ticket equipment), most buyers do not arrive knowing what they want.

Conversational search cannot rescue them. It only executes a preference the buyer already holds, so a raw catalog behind a chat box is slower than filters for the decided and useless for the undecided.

The Kleio Agentic Discovery Engine helps the buyer build their preference instead of waiting for it. The buyer reacts to real products; the engine learns from every reaction, revises what it believes, and sharpens the next recommendation.

Preferences are constructed during the decision, not retrieved from memory.
Bettman, Luce & Payne, Constructive Consumer Choice Processes, Journal of Consumer Research, 1998

How It Works

Three components, one discovery loop

Agentic Commerce starts with discovery: it builds the intent that search assumes. Buyers react to real options instead of stating specs. Each reaction sharpens the probabilistic Memory Store.

MP → 6 MEMORY STORE value·operation·confidence

Reaction-based recommendation

The catalog exposes its parameter space; a rejection re-queries it. Grounded recommendations and graceful recovery from a no.

Live audit log

Every memory and query change is recorded. Trust, tuning, and compliance across the journey.

Built on the Kleio Knowledge Engine. Runs on your infrastructure, provider-agnostic, across web, mobile, conversational, and advisor copilot surfaces.

Why It's Different

Discovery, not search

Search assumes the answer exists and just waits to be found. Discovery assumes it must be built. The engine's edge is the objective (construct intent, not recall it) and the coupling to your live catalog. It is where Agentic Commerce begins.

Core job

What updates it

Reactions to real products, including rejections, a parsed natural-language query, stated facts, plus reflection.
Tied to your live catalog.

Yes; memory and catalog co-evolve.
Retrieval only; No; catalog-agnostic.

Model of the buyer

Constructive choice: priors plus soft signals.