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Syntasa

Retail & Ecommerce · Readiness check

Would an AI agent choose your brand over your competitor's — right now?

Answer five scenarios about your store. Get a Product & Customer Intelligence Score, benchmarked against other retail brands, in about two minutes.

Start the readiness check

2 min

Time to complete

5

Dimensions scored

240+

Brands benchmarked

Agent session

Illustration
Shopper

Best waterproof running shoe under $160, in stock in a 10 — ship by Friday.

Agent · brands cited

Competitor A

Live inventory

Resolved

Competitor B

Structured feed

Resolved

Your brand

Not resolved

The check

Five dimensions of agentic readiness

Answer honestly — the report is only as useful as the picture it starts from.

  1. Customer identityCurrent
  2. Product data
  3. Behavioral signals
  4. Decision logic
  5. Channel strategy

Readiness check · live

Takes about 2 minutes

Dimension 1 of 5Customer identity

A shopper who abandoned a $340 cart last week just messaged your AI agent. Does it recognize her?

Think across loyalty, ecommerce, stores and care — not just one channel.

How it works

The missing piece isn't the AI model. It's the context layer.

Syntasa turns idle warehouse data into one queryable intelligence layer — customer, product and business context, served to every agent at the moment of intent.

  1. Step 01

    Your data

    Warehouse-native, zero-copy. Nothing leaves your environment.

  2. Step 02

    Syntasa MCP server

    One queryable layer, delivered at the moment of intent — inventory, price, eligibility, identity.

  3. Step 03

    Every agent

    One strategy across your own surfaces and every external agent.

Let's see where you stand

Where does your business stand?

Five dimensions. Two minutes. A tailored Readiness Report with a dimension-by-dimension breakdown and your recommended next step.

Start the readiness check

The brand that gets chosen

  1. Chosen by agents on your site, in Gemini, ChatGPT and Claude
  2. Personalized in real time: loyal versus new, premium versus deal-seeker
  3. Conversation-level measurement of what actually drives revenue

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