RETAIL
A simple question stalls a sale.
AgentOS won’t let it.
A search that comes up empty, a spec no one can confirm, a price that doesn’t add up: AgentOS resolves it in the same conversation, on whatever channel the shopper already has open. Your team only steps in for what genuinely needs a person.
TRUSTED BY 1000+ ENTERPRISES
The purchase is one click.
Getting there is a hundred small decisions.
Each decision is small on its own. Together, they decide whether the sale happens at all.
An empty search doesn’t just frustrate.
Zero-result searches happen more often than most catalogs admit. Shoppers rarely try another word. They go straight to a competitor instead.
An out-of-stock page doesn’t just disappoint.
Stockouts cost retail close to a trillion dollars a year. Most shoppers won’t wait for a restock. They buy from whoever has it in stock right now.
Indecision doesn’t just stall checkout.
Most carts never convert. Often, it isn’t shipping fees or checkout friction. It’s a shopper who was never confident enough in the specs, the price, or the fit to finish.
One shopper, five channels, none of them talking.
A question on WhatsApp, a spec checked in the app, a price compared in a browser tab: none of it carries over. The shopper repeats themselves, or gives up.
AgentOS carries the shopper end to end.
Most systems only own one part of it.
Discovery, evaluation, availability, and pricing questions run as one flow, across search, chat, and WhatsApp, not a separate tool per touchpoint. A human steps in only where judgment matters.
Every stage runs on one system,
so the shopper never has to start over.
Discovery, evaluation, availability, and the final decision all move through the same layer of intelligence. Most of it resolves on its own, and a person steps in only when the moment genuinely calls for judgment.
Pre-Purchase & Product Discovery in an Agentic OS
LAYER KEY |
V Vitos – agents at work
C Command – human in the loop
C Calibrate – audit & compliance
P Pulse – learns & recommends
Discover
Discovery Agent
Understands intent, even with vague or misspelled queries.
No human needed
Routine questions resolve without a ticket.
Search relevance
Tracked by whether the shopper finds what they meant.
Zero-result trends
Flags which queries fail most, and why.
Evaluate & Compare
Evaluation Agent
Confirms specs, fit, or compatibility, whatever the category calls for.
Ambiguous evaluation cases
Steps in when the data can’t confirm a clear match.
Evaluation confidence
Scored against actual return and complaint rates.
Evaluation patterns
Flags which products drive repeat confusion.
Availability & Price
Availability Agent
Confirms stock, delivery windows, and pricing in real time.
Pricing exceptions
Steps in for price disputes and promo abuse.
Answer accuracy
Checked against live inventory, never a cached feed.
Demand & stockout signals
Flags where stockout risk concentrates.
Decide & Recover
Recovery Agent
Re-engages carts with the specific reason they stalled.
High-value recoveries
Steps in for high-value carts or repeat abandonments.
Recovery conversion
Tracked by actual conversions, not messages sent.
Abandonment root causes
Flags the real reason behind the drop-off.
Discovery stops leaking sales.
Every question gets answered in the moment. The right people step in only when it matters. And each shopper who moves through it leaves the system a little sharper for the next one.
Where AI and human intelligence work as one.
Every layer in that architecture runs on two things working in concert: AI agents and human intelligence.
One workforce. Built into the system.
Agents handle what can be handled. They execute, resolve, and complete work across every system, at any scale, without waiting. Humans own the moments that demand judgment: approving, intervening, deciding. The system knows the difference and routes accordingly.
They share the same context. The same workflows. The same operational layer. Nothing is siloed, nothing is duplicated, and nothing falls through.
The system gets smarter at converting, and at knowing when to step in.
Vitos and Command handle discovery and decision-making in the moment. Calibrate and Pulse learn from it, and every stalled search or abandoned cart sharpens how the next one gets caught.
“Our teams finally spend time on what matters most. Kapture AgentOS handles the execution, so nothing slips through.”
VP-Customer Experience
An agent architecture, built around how your catalog, inventory, and pricing actually work.
Product taxonomy, stock feeds, and promo rules, mapped into agents built for your process. Not a generic chatbot bolted onto a search bar.
We didn’t start with AI.
We started with the work.
We’ve spent years inside real operations, across industries, seeing the exceptions, the edge cases, and the moments that actually need a human. AgentOS is built from all of that, not guessed at.
We’ve already seen the exceptions
Millions of real interactions, real failures, real edge cases. That experience is built into the system, not added on after.
Full-stack, AI-native
Designed together as one system, not bolted together from separate tools.
Your stack. Your rules
Full flexibility to run on your infrastructure, your models, your data, with zero lock-in.
Runs on your stack, secured to your standard.
AgentOS deploys on cloud, VPC, or fully on-prem, and connects directly to your PIM or catalog system, inventory and OMS, pricing engine, and CRM. Every discovery interaction is covered by AutoQA, and PII stays redacted throughout.
AES-256 encryption
Role-based access
PII Redaction
Frequently Asked Questions
No. AI agents handle conversational discovery, evaluation guidance, and cart recovery. Your existing search and recommendation engine keeps running underneath, and AgentOS sits on top wherever a shopper needs more than a filtered list.
The Availability Agent checks live inventory at the moment of the question, not a cached feed, so the answer matches what is actually on the shelf or in the warehouse.
Yes. The Evaluation Agent uses your product data and return or exchange history, whether that means sizing for apparel, compatibility for electronics, or capacity for appliances, and routes ambiguous cases to a person instead of guessing.
The Recovery Agent identifies the likely reason, such as price, stock, or indecision, and re-engages with an answer to that specific reason, not a generic reminder. High-value or repeat abandonments route to a person.
Yes. Context from a WhatsApp question, an app session, or a live chat carries over regardless of channel, so the shopper never has to repeat themselves.
Not by default. AgentOS connects directly to what you already run, so it works alongside your PIM, OMS, and pricing engine. It is built to take on more of that stack later if you want it to.
More of the retail journey, on the same system.
Pre-purchase and product discovery doesn’t run in isolation. Here’s what else AgentOS handles across the shopping lifecycle.
Order Management
Tracking, modifications, and payment or billing execution, handled without a ticket.
Retail
Post-Purchase Returns & Exchanges
Return eligibility, refunds, and exchanges resolved end to end.
Retail
Account, Loyalty & Subscriptions
Points, tiers, and subscription changes, self-serve end to end.
Retail
enterprise with Kapture.
See AgentOS catch the sale before it slips away, live.
Discovery, evaluation, availability, and pricing, all handled in one flow, on any channel.
- Discovery to decision, run on one OS
- AI agents that act, staff that judge, a loop that keeps getting sharper
- Deployed across 1,000+ enterprises in 60+ countries
TRUSTED BY THE TOP ENTERPRISE COMPANIES
+1833-386-0222 (USA)
enquiries@kapture.cx
