SalesSense AI-POWERED COLLECTIONS

SalesSense: AI Opportunity Discovery for Your Shopify Catalogue

One click ranks the collections your store should have but doesn't — each with a plain-language reason, the exact products that belong in it, and a margin-checked discount ready to schedule. You approve; SalesSense builds it.

Ranked by opportunity Three guardrails per suggestion Margin-checked discounts Nothing written without approval

Why good catalogues stay under-merchandised

Not because anyone is careless. Because re-reading your own catalogue is a job that always loses to the job in front of it — and the reasons are boring and completely consistent.

The moment passes anyway

Seasonal stock sits uncollected because nobody had a free afternoon before the window closed. By the time anyone notices, the reason to build it is gone.

Overstock doesn't announce itself

Slow movers don't raise a flag in the admin. They just quietly occupy shelf space until someone goes looking — and nobody goes looking on a normal Tuesday.

Nobody has re-read all 400 descriptions

Products that plainly belong together sit in separate corners of the catalogue, because seeing the pattern means holding the whole catalogue in your head at once.

Every one of these is a task a person would do well with a spare afternoon. That's the whole problem — nobody has one.

What SalesSense looks for, and what it does about it

Three kinds of opportunity, each found a different way — with a real example of each.

Calendar signal A lead-time window opening before a dated event on a calendar track

Seasonal moments

A curated calendar, not a model guessing dates. Filtered to your markets, with lead time to spare.

Example suggestion

First Frost Layering 11 products

Knitwear you haven't grouped since last winter. Window opens in three weeks.

Wool Scarf Cable Knit Beanie Merino Socks +8 more

Catalogue signal Two separate products converging into a single grouped collection

Cross-sell pairs

Found in your own product text — things that belong together but sit in separate collections.

Example suggestion

The Reading Corner 7 products

Throw, mug and candle describe one scene — from three different collections.

Linen Throw Stoneware Mug Soy Candle +4 more

Inventory signal One product still at full stock while the rest have sold down

Overstock movers

Slow stock from live inventory, paired with a seasonal seller that gives it a reason to be seen.

Example suggestion

Slow Sunday 6 products

42 vases at full stock since spring, paired with your best-selling throw.

Ceramic Vase · 42 in stock Linen Throw +4 more

…and what it does about it

Creates and publishes

Built with those exact products, published to your Online Store, tagged as app-generated.

Schedules a real discount

A real Shopify discount scoped to the collection — future-dated, always with an end date.

Remembers every decision

Dismissed suggestions never resurface. Every decision kept, editable, deletable.

How a run works

One button, then a ranked list you can actually judge. Nothing reaches your store until you say so — and nothing reaches your screen until it has passed every check.

  1.  

    Run

    One click. SalesSense reads your live catalogue, collections, and inventory.

  2.  

    Narrow

    Each signal narrows the catalogue to the products that genuinely belong together.

  3.  

    Check

    Three guardrails run on every suggestion before a single one is shown.

  4.  

    Rank

    Survivors are ordered by opportunity, each carrying its own plain-language reason.

  5.  

    Approve

    You keep what's worth keeping. Nothing is written until that click.

  6.  

    Build

    Collection created, published, discount scheduled, decision recorded.

Three checks before a suggestion reaches you

A suggestion you'd have obviously thought of yourself is noise. So is one built on a product that doesn't exist, or one you can't actually sell. All three checks run on every suggestion — not as a warning afterwards.

Check 01

It's really in your catalogue

Every product is matched against your live store before the suggestion is kept.

  • No invented products, ever
  • Unmatched items are dropped, not flagged for you to catch
Check 02

You don't already have it

Anything overlapping more than 70% with an existing collection is filtered out.

  • Compared against your real collections, every run
  • The obvious suggestion is the one worth removing
Check 03

A shopper could buy it today

Nothing unbuyable is ever recommended — no exceptions, no footnotes.

  • Out of stock, unpublished, and draft products excluded
  • Checked against live inventory at run time

Where your approval sits in the flow

  1. Run
  2. Guardrails
  3. Ranked list
  4. Your approval
  5. Written to Shopify

Every store write — collection, publish, discount, or edit — sits behind that one gate. Nothing is written automatically or in the background.

See exactly how far a discount can go

An AI that creates discounts on your behalf carries real financial risk if it gets the number wrong. SalesSense reads your store's own per-variant cost data and shows, live as you type, whether the discount would sell anything below cost. Move through the percentages below to see what the merchant sees.

Suggested collection Autumn Warmers · 5 products

Discount

Safe at 10%. Your ceiling is 32%, set by Linen Throw (Sand) — the thinnest margin in this collection.

  • Wool Scarf $48.00 $43.20 56%
  • Linen Throw (Sand) $85.00 $76.50 24%
  • Cable Knit Beanie $32.00 $28.80 50%
  • Merino Socks, 3-pack $28.00 $25.20 50%
  • Stoneware Mug $24.00 $21.60 No cost set

Safe at 20%. Your ceiling is 32%, set by Linen Throw (Sand) — 12 points of headroom left.

  • Wool Scarf $48.00 $38.40 50%
  • Linen Throw (Sand) $85.00 $68.00 15%
  • Cable Knit Beanie $32.00 $25.60 44%
  • Merino Socks, 3-pack $28.00 $22.40 44%
  • Stoneware Mug $24.00 $19.20 No cost set

Safe at 30%, but only just. Your ceiling is 32%, set by Linen Throw (Sand) — 2 points of headroom left.

  • Wool Scarf $48.00 $33.60 43%
  • Linen Throw (Sand) $85.00 $59.50 3%
  • Cable Knit Beanie $32.00 $22.40 36%
  • Merino Socks, 3-pack $28.00 $19.60 36%
  • Stoneware Mug $24.00 $16.80 No cost set

40% crosses your ceiling. Linen Throw (Sand) would sell at $6.80 below cost on every unit. Your safe ceiling is 32%.

  • Wool Scarf $48.00 $28.80 33%
  • Linen Throw (Sand) $85.00 $51.00 vs $57.80 cost −13%
  • Cable Knit Beanie $32.00 $19.20 25%
  • Merino Socks, 3-pack $28.00 $16.80 25%
  • Stoneware Mug $24.00 $14.40 No cost set

50% sells Linen Throw (Sand) at $15.30 below cost per unit, and leaves two more products on 10% margin. Your safe ceiling is 32%.

  • Wool Scarf $48.00 $24.00 20%
  • Linen Throw (Sand) $85.00 $42.50 vs $57.80 cost −36%
  • Cable Knit Beanie $32.00 $16.00 10%
  • Merino Socks, 3-pack $28.00 $14.00 10%
  • Stoneware Mug $24.00 $12.00 No cost set

Healthy margin Thin — worth a look Below cost No cost data — not checked

Illustrative figures on a sample collection. In your store the numbers are your own — and where cost data is missing, SalesSense says so and links you to the product, rather than calling a discount safe that it never actually checked. Most Shopify catalogues have partial cost data at best; that's the normal case, not a failure.

What every suggestion carries

A ranked list is only useful if you can judge each item in seconds. So every suggestion arrives with the three things you'd need to decide — and nothing you'd have to go and look up.

The reason, in plain language

Why this collection, why now, and what pattern in your catalogue it came from — written to be read, not decoded. If the reason doesn't convince you, dismiss it and it won't come back.

The exact products

Not a category name and a promise. The specific products that belong in it, each one verified to exist, to be publishable, and to be in stock at the moment of the run.

The discount, already checked

A real scheduled discount you can attach in the same click — future-dated, end-dated, and measured against your own cost data before you commit to a number.

Why merchants keep the suggestions they get

Making collections isn't the hard part — you can already do that. The hard part is noticing what to make, while it still matters, and trusting the number attached to it.

It tells you what you didn't know to ask

A prompt only answers the question you already had. SalesSense goes looking through your catalogue on its own and comes back ranked, so the opportunity finds you.

It shows its reasoning

Every suggestion says why it exists and which products it chose. You're approving something you understand, not something you're taking on faith.

It checks the money before you do

Most tools that automate discounts never look at your costs at all. This one names the product that sets your ceiling — and says what it couldn't check.

It never writes without you

Collection, publish, discount, edit — every store write sits behind an explicit approval click. Nothing happens in the background while you're not looking.

See it run against a catalogue like yours

The fastest way to judge SalesSense is to watch it read a catalogue and rank what it finds. Tell us a little about your store and we'll walk you through a run, not a slide deck.

Helpful things to tell us

  • Rough product and collection counts
  • The markets your store actually sells into
  • Whether you keep per-variant cost data in Shopify
  • How you handle seasonal merchandising today
  • Any category where a bad discount would really hurt

What you'll get back

A working walkthrough of a real run — the ranked list, the reasons, the guardrails doing their job, and the margin panel on a live discount. Plus a straight answer on where SalesSense would and wouldn't earn its place in your workflow.

Frequently Asked Questions

Straight answers to what merchants usually ask before they let an app write to their store.

What does SalesSense actually find in my catalogue?
Three kinds of opportunity: seasonal and holiday moments inside a real lead-time window, cross-sell groupings of products that plainly belong together, and overstock pairings that put slow-moving stock alongside a seasonally relevant mover. Each suggestion arrives ranked, with a plain-language reason and the exact products that belong in it.
Can SalesSense invent products that aren't in my store?
No. Every product in a suggestion is verified against your live catalogue before you ever see it. Anything that can't be matched to a real product is dropped, not shown to you with a caveat attached.
Will it suggest collections I already have?
No. Any suggestion overlapping more than 70% with a collection already in your store is filtered out before it reaches you. A suggestion you'd obviously have thought of yourself is noise — removing it is the point.
Does anything get written to my store automatically?
Never. Every store write — creating a collection, publishing it, scheduling a discount, or editing something afterwards — happens behind an explicit approval click. Nothing is written in the background.
How does the discount margin safety check work?
SalesSense reads your store's own per-variant cost data from Shopify and computes, live as you type a percentage, exactly how far that discount can go before any product in the collection sells below cost. It names the specific product that sets the ceiling and flags every product that would cross it.
What happens if I haven't entered cost data for some products?
The panel tells you exactly which products it couldn't check, and links straight to where you can fill the gap. It won't pretend a discount is safe when it simply wasn't checkable. Partial cost data is normal in most Shopify catalogues — we report it rather than paper over it.
Are the discounts it creates real Shopify discounts?
Yes. Approving a suggestion creates a real, scheduled Shopify discount scoped to that collection — future-dated so it's never instantly live, and always with an explicit end date set.
Can it recommend products that are out of stock or unpublished?
No. Anything unbuyable — out of stock, unpublished, or still in draft — is excluded before a suggestion is shown to you.
Does it remember what I dismissed?
Yes. Dismissed suggestions are recorded and never resurface. A History page holds every decision made across every run, with edit and delete on anything the app created.
How does it know when seasonal events are?
From a curated calendar, not a model guessing dates. Events surface inside a real lead-time window and are filtered to the markets your shop actually sells into. The model's job is narrowing your catalogue to what belongs in each moment and explaining why — not remembering when Eid is.
What does SalesSense need access to?
It runs as an embedded Shopify app on the Admin API, reading your catalogue, collections, inventory, and per-variant cost data. Writes are limited to creating and publishing collections and creating scheduled discounts — all behind your approval.
What if a suggestion just isn't right for my brand?
Dismiss it. That decision is recorded and the same suggestion won't come back. Approving and dismissing are both signals, which is why a second run is more useful than the first.

What's your catalogue already asking for?

Tell us a little about your store and we'll show you a real run — the ranked list, the reasoning, the guardrails, and the margin check on a live discount.