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A branded company store lets employees, franchisees, or partners reorder approved merchandise on their own. It stalls when every order still needs manual artwork. The fix is to configure each product once with locked decoration rules, then let automation generate the proof and production-ready file per order, so the store scales without adding designers.
The shift: a company store only pays off when ordering is effortless AND every order still comes out print ready. The bottleneck is almost never the storefront. It is the artwork behind each order. Fix that, and one store can serve hundreds of locations without a single extra designer.
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A distributor wins a contract to run the branded-merchandise store for a company with 120 offices. Every location wants the same polo, hoodie, and notebook, each carrying its own regional logo, sometimes co-branded with the head-office mark. On paper it is one catalogue. In practice, handled by hand, it is a new artwork job every time someone clicks order. FastEditor exists to remove exactly that ceiling: set each product up once, then let every order generate its own proof and production-ready file automatically. This guide is the operator's playbook for running branded company stores at scale, without artwork becoming the thing that caps the programme.
A company store, sometimes called a brand portal or a swag platform, is a private storefront where a defined group, employees, franchisees, dealers, or channel partners, orders from an approved range of branded products. The whole point is control with convenience: buyers get a simple shop, and the brand owner gets to decide in advance which products, positions, colours, and logos are allowed. Everything inside the store is pre-approved, so nobody has to police individual orders.
A one-off promotional order is a project: someone briefs it, artwork is prepared, a proof goes back and forth, and it ships. A company store is the opposite. It is a standing programme that has to absorb a stream of small, repeated orders without a project wrapped around each one. That difference is the whole challenge. The economics only work if the per-order effort is close to zero.
Most company stores launch well and then quietly grind down. The storefront looks great in the demo, the first orders come in, and then the reality of servicing them sets in. The failure pattern is almost always the same: the shop was built as an e-commerce project, and the artwork was left as a manual step behind it. Every order that carries a logo still lands on someone's desk to be cleaned, placed, proofed, and pushed to production. As volume grows, that person becomes the bottleneck, lead times slip, and the programme's margin evaporates on artwork handling. We have written before about how artwork handling can cost 30 to 50 euros per order; multiply that across a store doing hundreds of orders a month and the maths is brutal.
The uncomfortable truth is that the logos flowing into a company store are rarely print ready. In the FastEditor Artwork Automation Benchmark, across 13,773 real logo uploads, around 85 percent needed at least one automated fix before they could go to production. About 61 percent needed vectorising, and roughly 79 percent needed upscaling. A company store multiplies that problem, because the people ordering are office managers and franchisees, not designers. They upload whatever they have: a logo pulled from a website, a screenshot, a low-resolution PNG from an old email.
If your store cannot turn those files into clean, correctly placed, production-ready output on its own, then every order becomes a support ticket. The store does not remove artwork work. It concentrates it. That is why the artwork engine, not the storefront, decides whether a company store can scale.
The scalable model flips the effort to the front. Instead of doing artwork per order, you do the configuration once per product, and every subsequent order inherits it. You set the decoration areas, the imprint sizes, the allowed colours per decoration method, and the rules for what a buyer can and cannot change. From then on, each order only swaps in the logo, and the platform does the rest: it vectorises the file, locks the colours, places it inside the real print area, and produces the proof and the production file. This is the same engine behind variable branding at scale, applied to a self-service store.
| Set once, per product | Changes per order | Handled automatically |
|---|---|---|
| Decoration areas and imprint sizes | The buyer's chosen logo | Vectorisation and cleanup |
| Allowed colours per print method | Product size and quantity | Colour locking and PMS matching |
| Placement rules and safe zones | Personalisation text, if allowed | Placement inside the real print area |
| Which products are in the range | Delivery and cost centre details | Proof plus production-ready file |
Because the configuration flows to every order, getting it right once protects every order after it. That is the entire leverage of the model.
A company store programme comes together in a predictable sequence. Rushing the middle steps is what causes the stalls described above.
Agree the approved products, decoration positions, imprint sizes, and colour rules with the brand owner before anything is built. This is a branding decision, not a technical one, and it is far cheaper to settle now than to unpick later. A tight, well-chosen range also converts better than an endless catalogue.
Set each product up with its decoration areas, print methods, and constraints. This is where you decide exactly what a buyer is allowed to touch. Tools like the Studio Tool let your team configure products and brand them for a list of partners without writing code.
The editor lives inside your store, whether that is a custom portal, a Shopify shop, or a platform like WooCommerce or Magento. Buyers stay on your site, see a live preview, and never touch a design tool. For deployment options, see our guide on embedding the editor by iframe or redirect.
Decide who can order, who pays, and whether any orders need a sign-off. Most stores run fully self-service, with the locked configuration doing the approving. Where a human check is still wanted, an online proof approval workflow keeps it out of email.
Start with a core range, confirm that orders flow through to correct production files without manual touches, then widen the catalogue. A store that works for ten products and zero support tickets will work for a hundred.
Every company store runs on product data, and weak data is the quiet killer. Each product needs clean decoration information: which methods are possible, the real print areas and their dimensions, the colour rules per method, and correct SKU matching so the right variant is ordered and produced. This is the same discipline behind a good product data contract. Get it wrong and the automation has nothing reliable to act on; get it right once and it powers every order in the store. For distributors pulling products from suppliers, a clean feed through something like the Product Hub is what makes a broad, always-current range possible without manual upkeep.
A healthy company store has a few clear signals. The strongest is the share of orders that reach production with zero manual artwork touches; the closer to 100 percent, the more the model is actually working. Watch average handling time per order, which should fall toward zero as configuration replaces manual prep. Watch reorder rate, because a store that is easy to use gets used again, and repeat orders are where programme margin lives. And watch support tickets per hundred orders, which is the fastest early warning that a product was configured badly. If those numbers hold as you add locations and products, the programme is scaling. If handling time or tickets climb with volume, the artwork engine is not doing enough of the work yet.
A company store, also called a brand portal or swag platform, is a private storefront where a defined group such as employees, franchisees, or partners orders from a pre-approved range of branded products. It keeps purchasing on-brand by limiting the products, positions, and colours buyers can choose.
Configure each product once with its decoration areas, colours, and rules, then let automation handle each order. The platform vectorises the uploaded logo, locks the colours, places it in the real print area, and generates the proof and production-ready file, so no designer touches individual orders.
Good automation cleans it up. Across 13,773 real uploads, about 85 percent needed at least one fix, most commonly vectorising or upscaling. The store should repair those files automatically rather than sending them to a person, otherwise every weak logo becomes a support ticket.
Yes. The editor embeds into most storefronts, including Shopify, WooCommerce, Magento, and custom portals, so buyers stay on your site and the artwork engine runs behind the checkout.
The product configuration sets the rules once: approved products, positions, imprint sizes, and colours. Each order can only change the logo and the allowed options within those limits, so the store stays on-brand no matter how many locations use it.
Yes. Every order outputs its own proof and production-ready file from the same engine, so what the buyer approves is exactly what goes into production.
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