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Work / Commerce / Build

Every product, one tap from your brand.

We built B&M.ai end to end. Manufacturers register, add a product, get an AI-written consumer page and order pre-programmed NFC tags. Shoppers tap the label with any phone and land on the brand's page, and every tap is tracked back to the manufacturer.

Client
B&M.ai
Rung
Build AI systems and products
Stack
Multi-tenant SaaS, Claude, NFC redirector, tap analytics
Status
Live on the client's domain
B&M.ai product page opened from an NFC label

Results, as published

The problem

The label was the last part of the product the brand didn't own.

A shopper at the shelf has a phone in hand and no way to hear the brand's story. QR codes need framing and an explanation.

What we built

From sign-up to shelf in four steps.

Register and get a starter kit, add a product and let AI write the page, order tags, then watch the taps come in. One codebase serves every manufacturer as a tenant.

The result

Built for a client, end to end.

Multi-tenant accounts, page builder, tag ordering, a redirector that resolves each tag, and analytics per batch and device.

Screens

Screens as published on the esipick.tech case study.

From the published case study

What shipped

Built for a client, end to end.

  1. Multi-tenant accounts
  2. Page builder
  3. Tag ordering
  4. A redirector that resolves each tag
  5. Analytics per batch and device
See it live

See B&M.ai live.

There is no Esipick demo for B&M.ai. The product runs on the client's own domain.

Open B&M.ai ↗

Have a physical product? Give it a page.

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