AI in Retail

Retail and guest systems, with AI on the repeated step

The retail work we can show is guest and event software for Dubai Fashion Week, plus Authenticate Pro for luxury resale checks. Agents and chat sit on top of that kind of product.

  • Dubai Fashion Week: guest curation, seating, QR passes and check-in.
  • Authenticate Pro: a first authenticity check and a valuation several reviewers can agree on.
  • We do not claim a storewide retail AI suite we have not shipped.
Guest systemsResale checksBookingHuman review
Clay cream shopfront with an orange cart

What we have built for retail

  • Guest and event flows

    RSVP, seating and the pass a guest actually uses.

  • A first product check

    Computer vision and reviewer voting on Authenticate Pro.

  • Questions and bookings

    Chat or voice that answers from a source you approve.

Choose a starting point

A process review is the usual first step. You can also look at related work or bring a specific workflow.

Work we take on

  • Event and guest software

    The Dubai Fashion Week work: curation, seating, QR and check-in.

  • Resale checks

    A preliminary authenticity pass, then a person.

  • Shop chat scoped honestly

    Catalogue answers and a handoff, as on the ecommerce chatbot page.

  • Hospitality voice

    The hotel voice receptionist for bookings and after hours.

Where it sits

A guest list

Who is invited, where they sit and the pass at the door.

A guest list

Tell us how the work runs today

A short process review shows what to build first, what it will cost, and what can wait.

Book a call

Tools we build with

The stack behind the systems on this site.

  • Next.js
  • React
  • React Native
  • Node.js
  • Python
  • PostgreSQL
  • AWS

How the work runs

  1. Process review

    We sit with how your team works today and pick the workflow that is worth building first.

  2. Design and scope

    You get the shape of the product, the systems it touches, and a scope you can agree.

  3. Build and test

    We build, test with your people, and keep a human in the loop where the agent decides.

  4. Launch and support

    We launch with you and stay for support after the system is in use.

Brown Tech in numbers

  • Since 2011

    in business

  • 1,000+

    apps delivered

  • 99%

    client satisfaction

  • 10+

    billion-dollar companies served

Success stories

Who we are

Brown Tech has been in business since 2011. We design and build custom software, AI agents and automation for teams that want software built around how they already work.

We start with the system your team needs, connect it to the tools you already use, and add AI where it removes real work.

Why teams choose Brown Tech

in business
Since 2011
apps delivered
1,000+
client satisfaction
99%
billion-dollar companies served
10+

What our clients say about us

Rated5.0out of 5

What he created for my company was a dream come true. I now have an app that admin and employees can use. All can log into their on portals via the app and work more independently and efficiently. I have removed so many manual tasks and now have them all automated. Thank you so much again. I will be with you forever as my company now has the tools to take on more and grow.

nearijah1

United States

Rated5.0out of 5

Working with the Brown Tech team is very straight forward, they are always open for ideas and try their best to work on everything you give them, yet are not afraid to bring in their own ideas and solutions, which lead to the success of the project. 100% would recommend working with them.

reykoxha

Rated5.0out of 5

Project took a bit longer than expected but it was on my side. And my delayed response! Umer and team was awesome and exceeded my expectations 10/10!

lark_inn_

Let's connect

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Questions about this work

No. The retail work we publish is guest systems, luxury resale checks and hospitality voice.

It is a client product we built. Computer vision does a first check. Reviewers still vote.

Timing is agreed in the process review, project by project. That review comes before build starts.

Cost is scoped per project after the process review.

Support after launch is part of how we work. The shape of that support is written into the scope.

No. Payment stays in the tools you already use.