Faceted filters by fiber, weight and fit
Shoppers narrow a mixed catalog by blend, gsm, neckline, size and price band in seconds.
SIZ Group builds a specialist multi-brand ecommerce store for merino base layers that carries several labels under one roof, with a faceted catalog, side-by-side comparison and merchandising your team controls. The goal is a store where a shopper can weigh three brands on one screen.
Build first the features that help a shopper narrow the field. Faceted filters for fiber blend, gsm weight, neckline and price band come before anything decorative, because a catalog of several labels quickly becomes a long scroll of near-identical crew tops.
Product comparison is the second priority. A shopper choosing between three 200 gsm crews wants fabric content, fit notes, care instructions and each brand's return policy in one aligned table. We would start with four compared products to keep the layout clean.
Later phases can add loyalty points, shared wish lists and editorial brand stories. Those pay off once you know which filters shoppers really use, so we would hold them back until the first season of data is in.
A skier buying for a ski trip lands on the midweight collection from a search for merino base layers. The filter panel shows four brands, and she narrows the list to 200 gsm, zip neck and extra large in a single pass.
She ticks three products from different labels and opens the comparison view. Fabric blend, fit notes, odor treatment and the return window sit in aligned rows, which shows her that one top runs long in the body and another runs slim in the sleeve.
She adds her choice to a cart that holds items from all three brands and pays once. The packages then arrive separately under a single order number, and the cart explains which warehouse ships which brand.
Each brand in the store needs a supplier record with its size chart, fiber content, care label text and wholesale cost terms. Missing fiber content is the most common gap, because shoppers search by blend and the filter depends on that field.
We also need product photos at a consistent size, with the flatlock seams visible, and written permission to use them. Brands often send imagery in mixed formats, so we agree a file naming rule before the first import.
On the access side, you provide admin accounts for the store, your inventory feed and a named person at each brand who approves content. Access stays limited to what each role needs, so one brand's agent cannot change another brand's pricing.
Shoppers narrow a mixed catalog by blend, gsm, neckline, size and price band in seconds.
Up to four products from different labels compared in aligned rows for fabric, fit and returns.
Each partner keeps an approved page with its history, imagery and care notes.
Items from several labels check out together and ship as separate packages under one order number.
Your team features a brand, pins a bestseller or hides a size run without calling a developer.
The first mistake is loading every brand's full range on day one. A catalog of a thousand near-identical layers overwhelms the shopper and slows the filters. Start with each brand's top sellers and expand once the filters prove useful.
The second is letting each brand write its own product titles and size labels. Shoppers then cannot compare like with like. We would set one template for titles, weight and sizing, and let brands add their story below it.
The third is treating the store as a brochure. Without a comparison table, a size finder and honest stock messages, shoppers leave for a marketplace that has them. Show low stock and back-order status plainly rather than a generic in-stock badge.
Launch with the brands first. Each partner should see its own dashboard, product pages and sales figures before the public launch, so no label is surprised by its listings.
Shoppers respond best to a message that explains why comparing labels helps them. A short video of the comparison table and the size finder does more than a banner with a discount code.
Store staff who answer chat and email should use the comparison tool themselves. When they can explain why one top runs long in the body, they give clearer answers and customers can choose with less guesswork.
Track how shoppers use the filters and the comparison view. A steady number of comparison sessions that end in a purchase shows the tool is doing its job, while filter use with no product clicks points to unclear labels.
Measure cross-brand baskets, meaning orders that include products from more than one label. They show whether shoppers trust the store enough to mix brands, and they are the clearest sign that the store adds value beyond each brand's own site.
Compare sell-through by brand against the wholesale cost terms each partner signed. A brand that moves well through the store keeps the partner relationship healthy, and the report makes that visible to both sides.
There is no fixed number. We suggest starting with the labels that already sell well through your current channel, so the first catalog feels strong. Adding a brand later means loading its data and approving its pages.
Each brand sets its own policy, and the store shows that return window beside its products. The cart explains which return route applies to each package, so the customer does not have to call three different numbers.
No. Each brand's dashboard shows only its own products and orders, while your team sees the combined picture. We set those access rules before any partner signs in.
Pricing is quoted after a free scoping call, once we know the number of brands, product records and integrations. The written quote shows what is included at launch and what can wait for a later phase.
Schedule a free scoping call and we will sketch your brand list, filters and launch plan.