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Merchandise Planning, by Industry.
Apparel First. Category-Native.

Industry-specific merchandise planning software is planning software whose data model — product hierarchy, seasonal structure, and unit of planning — matches how a category actually buys and sells, rather than a generic retail template configured after the fact. RetailNorthstar is apparel-first: the platform was built for apparel merchandising, and apparel brands are its flagship customers.

The same style-color data model extends natively to footwear, accessories and bags, and home and furniture — each with its own page below, written in that category's planning vocabulary.

Apparel — where RetailNorthstar started

RetailNorthstar for Apparel Brands →

Size curves, seasonal open-to-buy, collection structure, and multi-channel buys are native to the platform — this is where the workflows were designed and where the track record is deepest. Every apparel segment has its own page.

Where the data model extends natively

Footwear, accessories, home, and outdoor share apparel's planning structure — styles, colorways, seasons, channel-level buys — with category-specific constraints of their own.

Who RetailNorthstar fits best

Vendors overstate fit; planning teams pay for it. Here is ours, stated plainly.

Flagship

Apparel brands

The platform was built for apparel and every current customer is an apparel brand. Mid-market and emerging apparel brands with seasonal, multi-channel planning get the most proven version of RetailNorthstar.

Native fit

Footwear, accessories & bags, home & furniture, outdoor & adventure

The style-color data model maps to these categories without workarounds — hierarchy, seasonality, and buy structure carry over directly. To be plain: our customer base today is apparel. The vertical pages describe how the platform fits each category, not an installed base we do not have.

Supported

Beauty, sporting goods, and other style-driven categories

The data model supports them, but there is no dedicated page yet. If your planning runs on styles, seasons, and channel-level buys, the structural fit is usually close — the fastest way to confirm is a conversation against your own hierarchy.

Talk to Sales →

Industry fit questions

Is RetailNorthstar only for apparel brands?

No — but apparel is the flagship. RetailNorthstar was built for apparel merchandising, and its customer base today is apparel brands. The underlying data model — style, color, season, channel — is category-agnostic, which is why the platform extends natively to footwear, accessories and bags, home and furniture, and outdoor. Brands in those verticals get the same connected planning workflow; what they do not get yet is a category-specific customer track record, and we say so plainly.

Which industries does RetailNorthstar serve?

Apparel is the core, with dedicated pages for DTC, wholesale, luxury and premium, mid-market and contemporary, and emerging brands. Adjacent verticals with dedicated pages are footwear, accessories and bags, home and furniture, and outdoor and adventure. Other style- and season-driven categories can be supported through the same data model — talk to sales to walk through your product hierarchy.

Does RetailNorthstar work for beauty or sporting goods brands?

The data model supports both — planning hierarchies, seasonal open-to-buy, and multi-channel buys are not apparel-specific concepts. Two honest caveats: there is no dedicated beauty or sporting goods page yet, and RetailNorthstar has no customers in those categories today. If your planning is organized around styles, seasons, and channel-level buys, the structural fit is usually close. The fastest way to confirm is a working session with sales against your own hierarchy.

See RetailNorthstar against your category.

Bring your hierarchy — styles, seasons, channels — and see how the connected planning workflow maps to it in a live demo.

Connected merchandise planning — live in weeks, not quarters.