The sheet and the storefronts
Every product business ends up with the same architecture: a spreadsheet that knows the truth, and a set of storefronts that drift away from it. New SKUs wait in the sheet for a free afternoon. A supplier price change reaches Shopify on Tuesday and Amazon never. A listing gets suppressed for a missing attribute and nobody notices until the sales report looks odd.
The work of keeping stores in sync isn’t hard — it’s clicking through every admin you sell on, per SKU, without making a mistake. Which is exactly the kind of work that shouldn’t be yours.
One batch, every storefront, evidence written back
dassi runs catalog operations the way a careful operator would. It reads the batch from your sheet, checks every row against your rules before touching a store, then works each storefront’s own admin — the same screens you’d use, in the accounts you’re already signed into on your machine. When it’s done, it writes the outcome back next to every row: live, updated, or flagged, with the listing URL.
The flags are where it earns trust. Platforms reject listings for reasons buried in error messages; prices go wrong when a rule is missing, not when a click slips. dassi surfaces the platform’s actual error, holds anything that breaks your price floor, and never retries blindly. Your sheet becomes a log of what actually happened, not just what was supposed to.
Built for the operator, not the enterprise
You don’t need a PIM, a feed-management subscription, or a developer to wire up APIs. If you run your catalog from a sheet and four browser tabs, dassi fits the workflow you already have — it just takes the clicking off your plate and leaves you the calls that need an owner.