Health & Beauty Merchandise Planning.
Shade Ranges Plan Like Size Curves.
Health & beauty merchandise planning software is planning software that models a beauty and personal care line — colour cosmetics, skincare, haircare, fragrance, personal care, and wellness — in one plan: shade-range depth planned the way size curves are, franchises and sub-brands as hierarchy, launches and limited-edition drops over a continuously replenished core, and retailer doors alongside DTC. RetailNorthstar is an apparel-first platform: our flagship customers are apparel brands, and the configurable data model that plans an apparel line is what a beauty line would run on.
For health & beauty and BPC teams, that means shade-level curves, franchise-level open-to-buy, testers and GWP planned as real demand rather than a footnote, and door-level allocation on the retailer's planogram calendar — with one boundary named plainly further down this page.
What makes beauty planning uniquely hard
A beauty line runs a replenishment business and a drop business at the same time, under a hierarchy that a flat SKU list cannot express. Generic tools flatten shades into unrelated items — and the reconciliation lands on the planning team.
Shade ranges are the size curve of beauty
A foundation franchise can run forty shades, and depth per shade is nothing like even. Shade demand shifts by door demographic the way a size curve shifts by region, and a broken shade range reads to the customer exactly like a broken size run — the product is in stock, just not in her shade.
Franchise and sub-brand hierarchy, not a flat SKU list
A beauty line is franchises inside sub-brands: a serum franchise, a mascara franchise, a colour story that spans several categories. The SKU is not the unit of decision — the franchise is, with shades and sizes underneath it. Flatten that into one SKU list and every review loses the level people actually argue about.
Launch cadence and limited-edition drops over a replenished core
Beauty runs two businesses at once. Core shades replenish continuously and must never go out of stock; launches, collabs, holiday sets, and limited-edition drops are one-shot bets with no reorder. One open-to-buy has to fund both without the launch calendar quietly eating core coverage.
Testers, GWP, gratis, and sampling are real demand
Units that never carry revenue still consume the buy: a tester per door per shade, gift-with-purchase quantities tied to a spend threshold, gratis for artists and education, and sampling programmes. Planned off to the side in a marketing file, they surface as a variance nobody budgeted.
Doors, planogram resets, and retailer windows
Retailer doors set the assortment ceiling — space per door caps SKU count, and the planogram reset window, not the brand calendar, decides when the assortment can actually change. Door counts and door tiers drive depth the way store clusters do in apparel.
Shelf life, PAO, and batch-coded inventory
Beauty inventory ages in a way apparel never does. Period-after-opening, expiry dating, and lot codes mean two units of the same SKU are not interchangeable, and aged stock has a hard exit date rather than a soft one. This is the constraint we are most explicit about below — it sits outside the planning model, not inside it.
Where generic planning tools force workarounds
General retail planning platforms assume one hierarchy and one calendar. In RetailNorthstar, hierarchy, calendar, and channel structure are configurable — core replenishment and launch newness plan on their own logic inside one model.
Line hierarchy
One flat product list, with every shade filed as an unrelated item
Configurable hierarchy — sub-brand → franchise → product → shade/SKU — so the franchise stays the unit of decision
Depth by shade
Units planned at product level, shades split by hand in a spreadsheet tab
Curve-based depth on shade ranges, built the way size curves are — from your own door-level selling, corrected for stockouts
Planning calendar
A single seasonal reset applied to the whole line
Configurable calendar — continuous replenishment on core shades, launch and limited-edition drops as their own windows
Non-sellable units
Testers, GWP, and gratis tracked outside the plan, then reconciled after the fact
Testers, GWP, gratis, and sampling planned as named demand lines inside the same buy and the same open-to-buy
Channel and door structure
One national plan, with door-level allocation improvised later
Channel- and door-level buys — retailer doors, tiered by productivity, planned alongside DTC in one plan per franchise
Exit planning
One markdown calendar stretched across launches, limited editions, and core
Exit logic per franchise and shade — limited-edition sell-down planned separately from core replenishment
The beauty planning workflow in one connected system
From franchise-level open-to-buy through shade-level door allocation — launches, limited editions, core replenishment, and non-sellable units in one model, not a set of reconciled spreadsheets.
OTB Planning
→Open-to-buy at category, franchise, and channel level, so a launch calendar and a replenished core are funded inside one budget rather than competing for it after the fact.
Assortment Planning
→One line plan across colour, skincare, haircare, and fragrance — franchise-level breadth decisions with shade-level depth underneath them.
Buying & Demand Planning
→Retailer commitments, DTC launch depth, and non-sellable units — testers, GWP, gratis — roll into one buy per franchise, sized against fill lead times.
Allocation & Replenishment
→Allocation across doors and DTC by shade, with replenishment logic on the core shades that carry the franchise between launches.
Seasonal Planning
→Holiday sets, gifting, and limited-edition drops planned on their own windows, alongside planogram reset dates that the retailer sets rather than the brand.
Intelligence & AI Assistant
→AI-assisted shade-curve and depth recommendations built from your own selling history by door — not from general retail averages.
Where RetailNorthstar fits health & beauty — honestly
Apparel is our flagship vertical. RetailNorthstar's customer base today is apparel brands, and we do not have beauty or personal-care customers or case studies to show you yet. We would rather say that plainly than invent proof.
What maps cleanly is the planning maths. Assortment planning, open-to-buy, allocation, and markdown transfer to beauty almost directly: size curves and shade ranges are the same shape of problem, launches behave like drops, retailer doors behave like wholesale accounts, and replenishment on core shades is the same coverage problem as replenishment on a carryover basic. The hierarchy, the calendar, and the door structure are all configurable, which is what makes the transfer possible rather than theoretical.
What does not map is expiry- and batch-driven inventory. Apparel does not expire. Beauty does: period-after-opening, shelf-life dating, lot codes, and batch traceability mean two units of the same SKU are genuinely different units, and a formulation change or a recall is traced by batch rather than by style. RetailNorthstar is not a batch or lot-tracking system, and we are not going to describe it as one. A beauty brand running this platform would keep batch and expiry in its ERP or inventory system and plan alongside it — and if lot-level traceability is the problem you are trying to solve, this is not the tool for that job.
The right way to answer the fit question is a working session with your own franchises, your own shade-level history, and your own door list — not a slide deck. If you want to pressure-test the maths first, start with the sell-through rate formula and the door-level demand formula, or browse every industry we plan for.
Live in weeks, not next reset
Onboarding is run by your merchandising team — no IT project, no implementation partner. Your own selling history becomes the baseline for shade curves, core coverage targets, and door tiers during setup.
Planning hierarchy configured — sub-brand, franchise, product, and shade — with door tiers, channels, launch windows, and financial targets.
Sales and inventory history imported at shade and door level, building shade curves and core coverage targets from your own selling rather than category averages.
Planning, buying, and allocation teams trained on franchise-level OTB, shade-level assortment, and door allocation workflows.
Plan an upcoming launch or a planogram reset in RetailNorthstar alongside your current process — including testers, GWP, and gratis — and compare outputs.
Retire the shade workbook and the door allocation file. Plan the next launch window and the next reset entirely in RetailNorthstar.
Health & beauty planning questions
Is a shade range really planned the same way as a size curve?
Structurally, yes — and that is the single most useful thing to know about beauty planning in an apparel-first platform. A size curve distributes depth across a run of sizes whose demand mix varies by door and by region; a shade curve distributes depth across a run of shades whose demand mix varies the same way. Both are built from stockout-corrected sell-through rather than receipts, both break the same way when the run is incomplete, and both are allocated door by door. In RetailNorthstar the shade sits where the size sits in the hierarchy, so the curve maths, the allocation logic, and the broken-run reporting apply without a workaround.
Can a replenished core and a launch calendar live in one plan?
That is the structural requirement, and it is handled through a configurable calendar rather than a single seasonal reset. Core shades run continuous replenishment with their own coverage targets, because a hero shade out of stock at a top door is a franchise problem, not a season problem. Launches, collabs, holiday sets, and limited editions plan as one-shot newness with their own launch depth and their own sell-down, on the drop windows the retailer reset calendar allows. Both roll up into one open-to-buy, so the trade-off between funding a launch and protecting core coverage is a visible decision instead of a month-end surprise.
How do testers, GWP, gratis, and sampling get into the plan?
As named demand lines with their own depth logic, inside the same buy as sellable units. Tester quantities derive from door count and shade count, gift-with-purchase quantities derive from the promotional forecast and its spend threshold, and gratis and sampling derive from the education and seeding programmes that request them. None of them carry revenue, all of them consume open-to-buy and factory capacity, and planning them outside the model is how brands end up short on the sellable units that were supposed to fund the season.
Does RetailNorthstar have health & beauty customers today?
An honest answer: no. Apparel is the flagship — RetailNorthstar’s customer base today is apparel brands. We have no beauty or personal-care customer track record, and we would rather say that plainly than invent proof. There is also a real boundary to name: expiry- and batch-driven inventory is not something this platform does. Period-after-opening, shelf-life dating, and lot-code traceability belong to an ERP or a batch-tracking system, and beauty planning has to sit alongside one. What we can show is the configurable data model — hierarchy, calendar, channel and door structure, and shade-level curve maths — and that is what we recommend evaluating, in a working session with your own line and your own history.
One plan for core shades and the next launch. Live in weeks.
See how RetailNorthstar handles franchise hierarchy, shade-level curves, launch and limited-edition windows, and door-level allocation — with your own line.
Connected merchandise planning — live in weeks, not quarters.