How Fynd helped Reliance run 150M+ garments through one AI platform

Running fashion & lifestyle on one AI stack

The challenge

Fashion retail runs through an unusually long chain: spotting a trend, designing and costing a garment, sourcing fabric and a vendor, production, quality checks, packing, shipping to stores, and finally getting it in front of a shopper. At Reliance's scale, that chain touches well over a hundred thousand style decisions and more than a thousand vendors in a single year.

Historically, each stage of that chain tends to run on its own tools: planning teams work from one system, buying and costing from another, vendors and production from a third, and store operations from something else entirely, with catalog photography and customer service handled separately again. None of it talks to the next stage automatically, so a shift in a trend forecast, a vendor delay, or a costing decision doesn't propagate through the chain on its own.

The solution

Cortex is an AI-first platform for fashion and lifestyle, and it isn't one tool but 15 sub-platforms already in production, each owning a piece of the Plan-Buy-Make-Sell chain and used by over 2,000 people across the business. Rather than a single interface, Cortex works more like a connected operating system, where a planning decision in one platform can feed directly into buying, vendor management, or store operations in another.

Real volume, not a pilot

In a single fiscal year the platform designed over 100,000 style options, ran more than 1.1 million purchase orders through over 1,300 active vendors, and delivered more than 150 million pieces.

Vendor to store, in days not weeks

The Vendor Management Platform alone has cut the time from a purchase order to shipping from 55 days down to 30.

Photography that used to take a studio now takes minutes

AI Photoshoot generates on-model catalogue imagery with an 88% first-pass success rate, cutting photography cost by roughly 90%.

How it works

A single garment's path through Cortex looks something like this:

1. A trend gets spotted - celebrity, regional or marketplace signals feed into the trend-forecasting platform, and planning dashboards translate that into a category-level plan.

2. A design gets costed and built out, tracked from design through tech pack, sourcing and production, with automated material-level costing priced against vendor bids.

3. Fabric gets ordered and vendors get managed through a unified fabric-ordering platform and a master data system that's the single source of truth for every vendor, material and product.

4. Production runs through a connected vendor-management stack covering procurement, manufacturing, quality control and packing, with a purchase order now reaching shipping in a third less time than before.

5. Invoices, purchase orders and goods-receipt notes get reconciled automatically, with discrepancies auto-flagged instead of chased down by hand.

6. On the shelf, store teams run tasks and track KPIs through a dedicated store-ops platform already covering the large majority of stores, while a companion app helps shoppers discover products in-store and AI-generated photography stocks the catalogue online.

Under the hood

The 15 platforms map onto every stage of the fashion value chain:

Plan

Trend forecasting, planning dashboards, master data and analytics feed the demand-to-assortment-to-space decisions at the top of the chain.

Buy

Product lifecycle management, fabric ordering, costing, and a vendor co-creation platform already used by external partners cover the path from trend to design to vendor.

Make / Move

A connected suite covering procurement, manufacturing, quality control and packing carries a garment from factory to distribution centre to shelf.

Sell / Operate

AI-generated photography, an in-store companion app, and a unified support desk that replaced a third-party helpdesk tool cover discovery, purchase and service.

Still running fashion's supply chain on disconnected tools?

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