No-Code Platform for Agentic Commerce

The Automation Layer for AI Agents & E-commerce

eSentriX is a no-code platform that automates the turnup of smart e-commerce agents — with built-in cross-agent support (ChatGPT, Gemini, Grok) and LLM-powered personalization and targeting that boost sales and turn your agentic integration into a smart sales powerhouse.

eSentriX understands shoppers in their own words — multilingual, human-language intent that finds the right product in any market. We transform raw retail catalogs into LLM-ready intelligence, orchestrate agent-to-agent (A2A) commerce from discovery to fulfillment, and let retailers automate merchandising and optimization inside their own environments — no rebuild, no rip-and-replace.

This is how AI becomes commercially reliable.
01 · See it live

See the infrastructure at work — live.

One request becomes a full shoppable routine — matched to live catalog items, bought in one tap, checked out, and upsold. This is the flow eSentriX runs behind any agent.

live now · the shopper's side · any store

Talk to the agent — it is selling from a live catalog right now.

It replays real shopper requests on its own; type anything to take over. Watch it find across aisles, explain its pick, add the upsell and hand off to checkout. Try: "a BBQ for 10", "compare the olive oils", "what's on offer today".

live agent session · running now — start typing to take over · open the full demo →
demo 01 · where the shopper meets the agent

A sponsored post that sells on the spot.

Watch: the shopper taps the ad and is inside the retailer's agent — no install, no store visit — with a real cart and an order before they scroll on.

Try: tap the post, ask for "snacks for tonight", accept the extras, place the order — the whole loop runs on a live catalog.

open the demo →
demo 02 · the retailer's side · commerceOS

The console that runs the agent — a read-only tour of a live store.

Watch: the catalog coming in from a store link, the agent's voice and selling rules, the checkout flow drawn as cards, the channels (web, app, WhatsApp, phone) — and every conversation with the order it produced.

Try: open Agent to see the voice and rules, Flows for the checkout cards, Analytics for the attributed orders. Nothing you click changes the store.

open the console tour →
In production with
Haat DeliveryKing StoreHomeAweBetakBringy
More use cases, step by step
🔥 A BBQ for 10 — four aisles, one tap 💻 A laptop brief from Gemini — six specs matched 💄 A selfie, shade-matched — the beauty routine
Personalization engine

It learns the shopper, then shops like them.

Every message teaches eSentriX something — taste, budget, who they're feeding, what they can't eat. Those signals become a living profile applied to every result: re-ranking what fits, hiding what doesn't, and flagging what's unsafe.

👤
Shopper profileinferred from chat · updates live
● learning
Interests
🔥 BBQ & grilling🥗 home cooking🏋️ fitness💄 skincare
Allergies & restrictions enforced
🥜 nut-free🥛 lactose-free
Diet
🌿 2× vegetarian✡️ kosher🍬 low-sugar
Context
👨‍👩‍👧‍👦 family of 4💳 ~₪250 / order⭐ premium brands
How the agent applies it — automatically
🚫
Filters the unsafe

Nut and dairy products never appear in results or carts.

↑
Surfaces what fits

Vegetarian and kosher options rank first for the household.

◎
Re-ranks to taste & budget

Picks tuned to interests and a ~₪250 basket — 97% match.

🔔
Warns across agents

If any connected agent adds an allergen, it's flagged before checkout.

The moat · Signal loop

The agent doesn't just sell. It turns every conversation into growth.

Because eSentriX is the sales agent, it captures first-party intent no pixel or QR code can see — then feeds it straight back into the retailer's ads and campaigns. A loop that compounds with every message.

01 👂

Listen

The agent captures intent in language — what shoppers want, reject, their budget, reorder cadence and life-stage — plus every real purchase.

→
02 🎯

Target

Those signals become phone-matched audiences, synced to Meta, TikTok, Instagram and Klaviyo — high-intent, not guesswork.

→
03 ✨

Create

The agent generates the campaigns and creative itself — it already knows what each shopper wants and how they ask for it.

→
04 📈

Measure

Closed-loop attribution: eSentriX is the only layer that sees the ad click and the in-chat purchase — proving what every shekel of spend returned.

Why it's defensible

Anyone can wire an AI to checkout. Only the agent inside the conversation owns the signal — and every cycle makes the next campaign smarter. That compounding first-party data is the moat.

02 · How it works

Legacy backend in. Agent-ready infrastructure out.

Four stages abstract away the complexity of retail backends — turning fragmented systems into one protocol any agent can transact with.

🔌🔌🔌🔌
stage 01 · connect

System connectivity

Adapters plug into legacy ERPs, POS, and checkout stacks — no rip-and-replace, no storefront rebuild.

ERP / POSSOAP → RESTwebhooks
🧬🧬🧬🧬
stage 02 · enrich

Data enrichment

Catalogs are normalized and enriched — attributes, taxonomy, embeddings — so agents can reason over every deep-catalog SKU.

multilingual intentLLM-ready catalogembeddings
⬡⬡⬡⬡
stage 03 · protocol

UCP exposure

Everything is exposed through the Universal Commerce Protocol: discover, price, cart, checkout — uniform across retailers.

one APIA2A workflowsagent-native
🚚🚚🚚🚚
stage 04 · execute

Transaction & fulfillment

Agent intent becomes a real order: payment captured, inventory committed, last-mile dispatch triggered automatically.

real-timedelivery routing<80ms p95
03 · Universal Commerce Protocol

Integrate once. Transact everywhere.

One standard interface between any agent and every connected retailer — so nobody builds point-to-point integrations again.

⬡
One protocol, every retailer

Agents call the same five endpoints whether the backend is a modern stack or a 20-year-old ERP. eSentriX handles the translation.

⚡
Real-time, transactional

Live inventory, live pricing, atomic checkout. Agent intent moves to physical delivery without a human in the loop.

🛡️
Trust & control built in

Agent authentication, spend limits, and retailer-side policy controls — so supply partners decide exactly what agents can do.

📈
Validated in live pilots

Already proving in production that retail backends can be abstracted and made instantly compatible with AI shopping assistants.

agent.ts — UCP client
// Any agent. Any retailer. One protocol.
const offers = await ucp.discover({
  intent: "weekly groceries",
  budget: 250, deliverBy: "fri 19:00"
})  // → matched across connected retailers

const order = await ucp.checkout({
  cart: offers.best.toCart(),
  agent: credentials, limits: policy
})

await ucp.fulfill(order.id)
// → inventory committed · payment captured
// → last-mile dispatched · ETA 18:40 ✓
04 · Pricing

Plans for growing and enterprise brands.

Every plan runs on the same core — catalog intelligence, multilingual search and the Universal Commerce Protocol.

Starter For a single store getting started Growth For growing brands Pro For omnichannel retailers Enterprise For platforms & large fleets
Commerce agents
AI shopping agent (web & text)✓✓✓✓
Voice agent—✓✓✓
WhatsApp channel——✓✓
White-label agent (your brand, your name, your domain)—✓✓✓
Phone line (call-in ordering)———✓
Agents included135Unlimited
Catalog intelligence
Catalog ingestion & enrichment✓✓✓✓
Multilingual semantic search (AR · EN · HE)✓✓✓✓
Visual & image search—✓✓✓
Real-time inventory & pricing sync——✓✓
Platform & integrations
Store connectors (Shopify, WooCommerce, Salla)✓✓✓✓
Embeddable storefront widget (SDK)✓✓✓✓
MCP tool layer & API access—✓✓✓
Agent-to-agent (A2A) orchestration———✓
Custom domain for the agent———✓
Personalization & analytics
Conversation analytics dashboard✓✓✓✓
Shopper profiles & recommendations—✓✓✓
Merchandising rules & selling notes—✓✓✓
Meta ads that sell on the spot (ad → agent → order)——✓✓
Campaigns & automations——✓✓
Scale & support
Catalog sync frequencyDailyHourlyReal-timeReal-time
Uptime SLA 99.9%———✓
SupportEmailEmailPriority emailDedicated + phone

Pricing is tailored to your catalog size and session volume — request pricing and we'll come back within one business day.

The next web won't be browsed. It will transact.

Whether you own catalog, delivery capacity, or agents — plug into the infrastructure that connects all three.