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.
Ten verticals run on that same data model — apparel, footwear, accessories and bags, home and furniture, health and beauty, sporting goods, outdoor and adventure, toys and games, baby and juvenile, and jewelry and watches. Each has its own page below, written in that category's planning vocabulary.
Apparel — where RetailNorthstar started
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.
Every category with its own planning page
Footwear, accessories and bags, home and furniture, health and beauty, sporting goods, outdoor and adventure, toys and games, baby and juvenile, and jewelry and watches all share apparel's planning structure — styles, variants, seasons, channel-level buys — while each carries category-specific constraints of its own.
Footwear
Size-run depth by style and colorway, drop-based launches, and reorder windows that punish a shallow initial buy.
Accessories & Bags
Carryover-heavy lines and material-driven costing, where depth mistakes tie up cash in slow-turning styles.
Home & Furniture
Long vendor lead times, container-level buys, and slow turns that make every purchase a long-horizon cash commitment.
Health & Beauty
Shades, formulas, and sizes instead of size runs — plus dated shelf life and a launch-and-set calendar that reshapes the assortment several times a year.
Sporting Goods
Sport-by-sport season calendars, equipment sized by spec rather than size curve, and consumable reorders running alongside a hard-goods buy.
Outdoor & Adventure
Soft goods and gear in one line — size curves on one side, model-year transitions on the other, dealer prebooks across both.
Toys & Games
Nearly all the risk committed before any read exists, case packs rather than eaches as the buying unit, and a calendar owned by the licensor at one end and the retailer at the other.
Baby & Juvenile
A multi-year certified chassis carrying a fast colourway layer, a customer cohort that replaces itself, and container economics that bind the buy before the budget does.
Jewelry & Watches
A cost base that moves on commodity markets while the plan is still open, real size runs in rings and straps, and depth capped by tied-up capital rather than by shelf space.
The planning problem, written out in each category's vocabulary
Each vertical page has a written guide behind it — and several have a deeper cluster covering the decisions that category argues about most. These are planning guides, not product pages.
Who RetailNorthstar fits best
Vendors overstate fit; planning teams pay for it. Here is ours, stated plainly.
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.
Footwear, accessories & bags, home & furniture, health & beauty, sporting goods, outdoor & adventure, toys & games, baby & juvenile, jewelry & watches
The style-variant data model maps to these categories without workarounds — hierarchy, seasonality, and buy structure carry over whether the variant is a size, a colorway, a shade, a spec, or a shade of metal. To be plain: our customer base today is apparel, and we have no customers in any of these nine categories. Their vertical pages describe how the platform fits the category, not an installed base we do not have — and each one names the boundary where the platform stops.
Other style- and season-driven categories
Categories with no page of their own yet still run on the same hierarchy, seasonality, and buy structure — the data model does not care whether a variant is a size, a shade, or a finish. What is missing is a page written in that category's vocabulary, and, as with every non-apparel vertical, a customer track record. 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, variant, season, channel — is category-agnostic and configurable, so there are dedicated pages for apparel, footwear, accessories and bags, home and furniture, health and beauty, sporting goods, outdoor and adventure, toys and games, baby and juvenile, and jewelry and watches. Brands in the non-apparel 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. Each vertical page also names the boundary where the platform stops — batch and expiry in beauty, safety compliance in toys, certification traceability in juvenile, serialisation in jewelry.
Which industries does RetailNorthstar serve?
Ten verticals have dedicated pages: apparel, footwear, accessories and bags, home and furniture, health and beauty, sporting goods, outdoor and adventure, toys and games, baby and juvenile, and jewelry and watches. Within apparel — the core — there are further pages for DTC, wholesale, luxury and premium, mid-market and contemporary, and emerging brands. Other style- and season-driven categories can be supported through the same data model — talk to sales to walk through your product hierarchy.
Where do kidswear and baby brands fit?
It depends on whether you sell garments or hard goods, and the split is deliberate. A kidswear or babywear brand is an apparel brand — it plans size curves, seasonal drops, style-colour depth and carryover exactly as any apparel brand does, with age bands sitting where size runs sit — so it is served on the apparel brands page and in a dedicated kids and baby apparel planning guide rather than on a separate industry page that would compete with it for the same queries. Juvenile hard goods — travel systems, car seats, nursery furniture, feeding and sleep — run on model-year lifecycles, certification, and container economics instead, and have their own page. Brands selling both usually run them as two businesses under one open-to-buy.
Does RetailNorthstar work for beauty or sporting goods brands?
Yes, and both now have their own page — health and beauty brands and sporting goods brands. The data model supports them because planning hierarchies, seasonal open-to-buy, and multi-channel buys are not apparel-specific concepts. The honest caveat still stands: RetailNorthstar has no customers in either category today, so those pages describe how the platform fits the category, not an installed base we do not have. 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.