Ecommerce operator reviewing product data and a conversational checkout

AI Commerce Readiness

Can AI shoppers understand what you sell?

Check my store

Zylen tests real buyer questions against your catalog, records where the answer breaks, and scopes the product-data and WhatsApp work needed to fix it.

Free AI Readiness Report

A finding your team can inspect and act on.

Every sampled question records whether your catalog was found, whether the answer was accurate, and whether the shopper had a credible next step.

Found

Does an agreed buyer question surface the right product or brand?

2 of 3 sample questions

Accurate

Are product attributes, price and policy details represented correctly?

1 complete, 1 partial

Actionable

Can the shopper move from the answer into an approved buying path?

1 path needs work
Readiness excerpt

Breakfast category

Sample only
Buyer questionFoundAccurateActionable
High-protein breakfast under ₹1,000FoundPartialNo
Tamil millet mix with no added sugarNot found
Compare two family breakfast bundlesFoundYesPartial

Actual findings depend on your store, the agreed questions and the test date.

Interactive demo — no real payment

A shorter path from question to payment

This simulation shows the interaction pattern, not a live Meta or Razorpay checkout. A production flow uses your approved business and merchant accounts.

  • Catalog groundedThe response uses approved products, quantities and prices.
  • Merchant ownedPayment continues through your approved provider and account.
  • Demo onlyThis interaction demonstrates the flow and never creates a real charge.
Commerce traceBuyer question to approved payment
Interactive sample
Buyer question

I need two high-protein breakfast options under ₹2,500.

Catalog response

Two approved matches

Millet breakfast mix× 2

Almond protein granola× 1

Order total₹2,498
Payment route

Approved merchant provider

Three weeks. One decision each week.

The schedule applies to the agreed fixed scope. Missing access, catalog gaps and platform approvals are surfaced before delivery starts.

  1. 01 / Week 1

    Measure the baseline

    We inspect your catalog, map real buyer questions and record where your products are found, accurate and useful across the agreed AI surfaces.

  2. 02 / Week 2

    Prepare the buying path

    We improve product data and configure the WhatsApp product, recommendation and payment flow using your approved business accounts.

  3. 03 / Week 3

    Test, hand over, measure again

    We run acceptance tests, repeat the benchmark and hand over the query log, readiness report and operating notes.

Start with evidence. Price the work after.

The proposal records integrations, approval dependencies and ongoing-care scope before you book delivery.

FreeNo commitment

AI Readiness Audit

A focused baseline for one store, with a sample of buyer questions and clear next steps.

Request the free audit
₹1,00,000–₹2,50,000One-time, plus GST

Three-week setup

Fixed-scope implementation priced after the audit, based on catalog and integration complexity.

Scope the setup
₹15,000–₹40,000Per month, cancellable monthly

Monthly care

Monitoring and upkeep for the feeds, connectors and reporting included in your plan.

Discuss ongoing care

Payment: 50% books the delivery slot; the balance is due at accepted go-live.

Ownership: Customer payments settle through your approved merchant provider.

Care: Monthly support is cancellable monthly.

Start with your store, not a sales call.

Send the URL and a work email. We’ll review the public store, explain what we found and tell you whether the three-week scope fits.

We use these details only to review your store and reply. No mailing list.

Practical questions

A concise readiness baseline for your store: the questions sampled, where your products appear, accuracy gaps and the work we would prioritise. It is a diagnostic, not a sales guarantee.