A practical go-live checklist for furniture product data, variants, imagery and channel requirements.

A range can be finished by every department and still not be ready to sell.
The data team has loaded the products. The studio has delivered the images. Ecommerce has built the collection page. Then somebody discovers that the corner orientation is wrong, half the fabrics have no image or the retailer needs packaged dimensions.
This checklist gives a catalog team one go/no-go review across product data, variants, assets and the destination.
Run it on a specific range for a specific destination. A range may be ready for your own website and unready for a retailer whose portal asks for different fields.
Mark each check as:
Don't turn the answers into a percentage. A 95% score is meaningless if the missing 5% is the price or the right-hand corner image.
| Check | What to confirm |
|---|---|
| Product identity | Every sellable SKU exists once and has a stable internal identifier |
| Customer-facing name | Names describe the product without internal codes or unexplained abbreviations |
| Dimensions | Width, depth and height use clear labels and units; furniture-specific measurements are present where buyers need them |
| Pack information | Packaged dimensions, packaged weight and carton count are held where the destination or delivery team requires them |
| Materials and care | Materials, composition, finish and care instructions match the product being sold |
| Commercial facts | Price, availability, lead time and assembly status are current |
| Compliance | Required evidence and warnings have been checked for the product and market |
The point isn't to collect every possible attribute. It is to hold the facts a buyer, retailer, delivery team or regulator needs for this product. The furniture product data model sets out what that record has to carry.
Pay special attention to the difference between assembled and packaged measurements. Nebraska Furniture Mart's public vendor guide, for example, asks suppliers for both crated and uncrated dimensions.[1] Treat that as a real retailer example, not a universal rule.
| Check | What to confirm |
|---|---|
| Variant axes | Every customer choice is represented: color, material, finish, size, orientation or configuration as applicable |
| Sellable combinations | Every option that can be purchased has its own SKU, price and availability |
| Product family | The variants connect to the correct parent product or group |
| Changing dimensions | Size and configuration changes carry the correct measurements |
| Handed products | Left- and right-facing options are named and imaged consistently |
| Destination behavior | The chosen ecommerce platform can select, price and link to the intended option |
Google supports product-family markup through ProductGroup, hasVariant, productGroupID and variesBy. It documents both single-page and multi-page approaches. For a single-page setup, a URL can preselect the relevant variant; the variants do not all need separate standalone pages.[2]
Test the real experience. Open the URL, select a fabric or orientation, refresh the page and check what remains selected. Then compare the displayed price, availability and image with the catalog record.
| Check | What to confirm |
|---|---|
| Main image | Every sellable product has a clear primary image that meets the destination's current rules |
| Variant coverage | A buyer can see the color, material, finish and configuration they have selected |
| Scale and context | At least one image or diagram helps the buyer judge size |
| Product details | Important construction, material and finish details are visible |
| Product accuracy | Silhouette, proportions, construction, material, finish, color and configuration match the reference |
| Asset connection | Each image is attached to the product or variant it actually depicts |
| Rights and approval | The team knows the source, approval status and permission basis for each live asset |
Generated imagery doesn't pass this gate automatically. A person compares it with the reference product and approves it, requests changes or rejects it. Linking an approved image to an exact SKU or colorway also requires confirmation.
Room styling, lighting and props are creative choices unless the brief says otherwise. The product itself is the accuracy test. If props or included items could mislead the buyer, clarify what the price covers. The UK CAP Code requires marketing communications not to materially mislead or omit material information.[3]
| Check | What to confirm |
|---|---|
| Current specification | You have the destination's current mandatory fields and accepted values |
| Product feed | IDs, titles, descriptions, links, images, prices, availability and variant grouping are populated as required |
| Structured data | Product, offer and variant markup on your own pages validates where applicable |
| Shipping and returns | Delivery constraints, lead time and return information are stated accurately |
| Image specification | Aspect ratio, dimensions, background and file format match the destination |
| Test submission | A sample export or upload has been inspected at the destination |
| Ownership | A named person owns corrections and post-launch changes |
Channel requirements are not automatically detected or enforced by Furniture Connect. State the needed ratio, resolution and use case, then inspect the result. Natural uncropped output may be fine for one channel and wrong for another.
If content goes to a retailer-controlled product page, keep a record of what was submitted. The source file, export date and destination make later errors much easier to trace. How furniture product content reaches retailers covers those routes in more detail.
Publish the products that pass all applicable checks. Hold only the SKUs that still carry a genuine blocker.
That distinction matters. One missing image shouldn't necessarily delay 200 complete variants, but it also shouldn't make the incomplete colorway appear purchasable with somebody else's photograph.
Record every held SKU with an owner and a next action. “Not ready” is useful only when the team knows what would make it ready.
The Agentic Catalog keeps product data, variants and media context together, and its enrichment view identifies whether expected core data, media and variant information is present.[4]
Studio can generate product and material combinations as a batch instead of asking the team to create every colorway one at a time.[5] The images still go through human review, and the team still applies each destination's requirements.
The outcome is more of the range genuinely ready to show and sell, rather than merely marked complete inside one department.
If AI shopping services are one of the destinations you care about, catalog readiness for AI shopping covers the extra checks those services depend on.
Run it on a specific range for a specific destination, and mark each check Pass, Fix or Not applicable. A range can be ready for your own website and unready for a retailer whose portal asks for different fields. Don't convert the answers into a percentage — a 95% score is meaningless if the missing 5% is the price or the right-hand corner image.
Are the product facts complete (identity, names, dimensions, pack information, materials and care, commercial facts, compliance)? Can every sellable variant be identified (axes, sellable combinations, family, changing dimensions, handed products, destination behavior)? Can the buyer see what will arrive (main image, variant coverage, scale, details, accuracy, asset connection, rights)? And will the destination accept and maintain it (current specification, feed, structured data, shipping and returns, image specification, test submission, ownership)?
No. A person compares the image with the reference product and approves it, requests changes or rejects it. Linking an approved image to an exact SKU or colorway also requires confirmation. Room styling, lighting and props are creative choices unless the brief says otherwise; the product itself is the accuracy test.
No. Publish the products that pass all applicable checks and hold only the SKUs with a genuine blocker. One missing image shouldn't delay 200 complete variants, but it also shouldn't make the incomplete colorway appear purchasable with somebody else's photograph. Record every held SKU with an owner and a next action.
Before the next range goes live, put it through a Furniture Connect demo. You'll see which product facts and images are ready for the channel and which need an owner.
Give every team the product data, imagery and assets they need to launch faster, quote better and turn more of the catalog into revenue.