Retail · Retail Segments

Fashion retail AI shopping assistant

A fashion AI shopping assistant replicates the in-store stylist online. It understands requests like 'a linen outfit for a beach wedding under ₹8,000', recommends complete looks, gives size and fit guidance from brand-specific charts and past purchases, and handles exchanges — which directly reduces the size-related returns that erode fashion margins.

20%

reduction in size-related returns

25%

higher average order value from outfit pairing

24/7

styling support across web, app and WhatsApp

The problem today

  • Size and fit uncertainty drives the highest return rates in retail.
  • Filter-based browsing fails shoppers who think in occasions and styles, not attributes.
  • Seasonal collections need constant merchandising attention to stay discoverable.

Who it is for

Retail teams running retail segments who want the fashion journey automated end-to-end.

The agent ships pre-trained on retail workflows, then is grounded on your own products, policies and systems — deployed on web, app, WhatsApp and voice with full audit logging and human handover.

How it works

Step 1

Understand

Occasion, style, budget and body-fit preferences captured conversationally.

Step 2

Style

Complete looks assembled from live inventory, not just single items.

Step 3

Fit

Brand-specific size guidance based on measurements and purchase history.

Step 4

Retain

Easy exchanges, wishlist alerts and new-collection notifications.

What the agent does

Style discovery

Occasion- and trend-based recommendations from natural language.

Size & fit advice

Brand-aware sizing guidance that reduces fit-related returns.

Outfit pairing

Complete-the-look suggestions that increase basket size.

Returns & exchanges

Self-service exchange with a better-fitting alternative offered first.

Frequently asked questions

How does it know our size charts?

It is trained on your brand and vendor-specific size charts plus historical return-reason data.

Can it recommend from live stock only?

Yes, recommendations are always filtered by real-time availability in the customer's region.

Does it support visual search?

Shoppers can upload an image and the agent finds visually similar items in your catalogue.

Can it assist in-store staff too?

Store associates can use the same assistant for stock lookup and styling suggestions.