You merchandise 100 or more Shopify collections without a team by replacing per-collection manual sorting with sorting recipes: weighted rules built from signals like sales velocity, inventory, and margin. Define a recipe once, apply it to every collection that shares the same goal, and let an automation app like Dynasort re-sort them all on a schedule. You then spend your time on exceptions, not row-by-row dragging.
Why does manual sorting stop scaling?
A manual sort order freezes the moment you save it. Products sell out and stay on the first row, new arrivals land at the bottom, and yesterday’s winners slide out of date. With a handful of collections you can keep up. With 100 or more, even a quick weekly pass per collection adds up to days of dragging tiles, so most stores quietly stop doing it. The result is collections sorted by history instead of by what is selling now.
How do recipes replace per-collection work?
Group your collections by goal, then build one recipe per group:
- Core category collections: weight sales velocity with inventory so risers surface and thin stock sinks.
- New arrivals: product age blended with early sales signals.
- Sale collections: discount depth plus stock depth, so you promote what you actually need to clear.
Apply each recipe across every collection in its group and let the app re-sort on a schedule, as often as hourly. A sellout, a price change, or a sales spike is reflected across all 100 collections without anyone opening the admin.
Where do humans still matter?
Automation handles the ranking; you handle the exceptions. Pin hero products and campaign features to fixed positions and let the recipe sort around them. Check position effectiveness monthly to confirm the recipe is promoting products that convert, then adjust weights instead of individual collections. That is the leverage: one decision touches a hundred pages.
Dynasort is built for exactly this scale. Install it from the Shopify App Store or see how it works.