9 Things Awsm Collections Does for Your Shopify Collections
Collections are where most of your merchandising work goes, and where it quietly goes stale. Products sell out and sit at the top, a seasonal range never gets its own page, and the order shoppers see stops matching what actually earns. Awsm Collections builds collections from rules the app keeps evaluating, and adds a layer of AI tools that propose, build and re-rank collections for you. Here are the nine things it does — what each one is for, and the guide that walks you through it. They are independent: use one, or all nine. Rule-based collections, Create with AI and Bulk Actions work on every plan; the AI toolkit (things 3 to 8) needs the Pro or Enterprise plan. For a tour of the dashboard itself, start with Getting started with Awsm Collections.
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1 Build a collection from rules instead of a hand-picked list
A managed collection is defined by conditions, not a frozen list of products, so it builds itself and stays correct as products are added, sell out or change. You group conditions on properties such as Type, Tags, Price, Inventory and Sales, mark each group as Include — products matching rules are added or Exclude — products matching rules are removed, and the app syncs the result to a real Shopify collection. A Safety net can hold a sync for review if it looks destructive — for example dropping below your Minimum products. See Build a rule-based collection.
2 Describe the collection you want in plain English
Create with AI skips the rule syntax entirely: type something like "summer dresses under $80, nothing on clearance", click Build it, and the AI writes the rules and shows the real products that match, with a confidence note. Say what to adjust in the Refine box and it rewrites the rules and re-runs the match. What you save is an ordinary managed collection that re-evaluates on a schedule. See Create a Shopify collection with AI.
3 Let the app propose new collections worth creating
Suggested collections (Pro and Enterprise) is the app pitching you collections it thinks your catalog is missing, grounded in your real top sellers, product mix and semantic clusters. Each proposal carries a title, a short rationale and a live preview count of how many products would be included, so you can accept it with Create collection or Dismiss it for good. Autopilot can accept the high-confidence ones for you, capped per run. See AI suggested collections.
4 Hand the whole store to an autonomous merchandiser
The Autonomous AI Merchandiser (Pro and Enterprise) works through every collection about once a week: it audits them, acts on what it is allowed to fix, and reports what it changed along with the revenue and units its AI-built collections produced in the last 30 days. With autopilot off it stays advisory — thin collections, sold-out products near the top and stale collections come back as recommendations. Nothing it builds is permanent; each has an Undo button in the AI-built collections list. See The Autonomous AI Merchandiser.
5 Let a collection sort itself by what earns
A collection's order decides what sells. The smart sort scores each in-stock product on its last-30-day revenue, weighted by margin with a boost for accelerating sales, and sinks sold-out products to the bottom — re-applied on every sync, so the order keeps tracking live sales. Click Make self-optimizing on a collection (Pro and Enterprise), or pick Smart — revenue-optimized (auto) as the sort property for a single product group. See Self-optimizing collections.
6 Find products by meaning, and catch what's trending
Semantic search (Pro and Enterprise) matches what products are rather than the words in their titles, so "cozy autumn knitwear for layering" returns the right products even when none of them use those words, and Create collection from this search turns the results into a live collection. The same real-catalog grounding is what powers Suggested collections: it already surfaces the dense semantic clusters your existing collections don't cover, and can propose a "Trending Now" collection from the products gaining momentum fastest. See Semantic search & instant collections and AI suggested collections.
7 Know what your products are without tagging them
AI facets (Pro and Enterprise) builds a facet vocabulary tailored to your store — style, occasion, material and more — and classifies every active, published product into it, saving the values to Shopify as product metafields. Those facets appear in the collection editor as rule properties, so you can build "Style is Minimalist and Occasion is Wedding" without tagging anything by hand. Review AI facets lets you correct a value, and your corrections are fed back to the classifier as examples. See AI facets & the facet review.
8 Fill out a collection that is too thin
A sparse collection is a missed sale. Suggest products to add (Pro and Enterprise) builds a profile from the products already in a collection and returns the closest matches in your catalog that are not in it yet, each with a match percentage. Click Pin on the ones you want and they join the collection's pinned products alongside your rules, which are left untouched. See Auto-fill a collection with AI suggestions.
9 Change the rules on many collections in one go
Editing managed collections one at a time gets old once you run a lot of them. Bulk Actions applies the same rule change to every collection you tick: add a rule to all groups, remove the rules matching a condition, or find-and-replace a value used in existing rules. Execute Bulk Action runs it and reports the outcome per collection, and only the collections you selected are touched. See Bulk-edit rules across many Shopify collections.
Frequently asked questions
What does Awsm Collections actually do to my Shopify collections?
It manages them from rules. You define conditions instead of picking products, and the app re-evaluates them on a schedule (and right after you save) and syncs the result to a real Shopify collection, so it stays correct as products are added, sell out or change. Your other Shopify collections are untouched.
Do I have to build the rules myself?
No. You can describe the collection in plain English and let the AI write the rules, or, on Pro and Enterprise, accept a collection the app proposes, build one from a search, or turn on autopilot and let the merchandiser build high-confidence ones for you.
Will the app change my store without asking?
The AI only acts on its own if you turn autopilot on; your rule-based collections keep updating from their rules by design. With autopilot off the AI Merchandiser runs in advisory mode: it audits and recommends, but makes no changes. Anything an AI build does create can be removed again with the Undo button in the AI-built collections list.
What is the difference between Create with AI and Suggested collections?
Create with AI builds the specific collection you describe. Suggested collections is the app proactively proposing brand-new collections it thinks are worth creating from your catalog and sales.
Which plan do I need for the AI tools?
Rule-based collections and Create with AI are on every plan. The AI toolkit — the AI Merchandiser and autopilot, suggested collections, semantic search, AI facets, similarity rules and sorting, self-optimizing collections and Suggest products to add — is part of the Pro and Enterprise plans.
How often do my collections update?
Automatically on a schedule, and right after you save one. New matching products flow in, removed ones drop out, and a self-optimizing collection is re-ranked on every sync.