All challenges

Challenge · 02 / 08

Product Discovery.

Between "I am looking for something" and the right product page sits search, filtering, merchandising, and collections. When any of them fails, the shopper does not ask for help. They leave, and you never see why.

A shopper searches for something I sell, and my store shows them nothing.
The operator's reality

Where it breaks

01

Search that misses

Native Shopify search needs the first few letters spelled exactly right, has no real fuzzy matching, and misses obvious synonyms, so "tee" never finds "t-shirt". A search that returns nothing is a buyer turned away at the door, and the failed query is invisible to you.

02

Filtering that frustrates

Without auto-computed facets, shoppers cannot narrow a large catalog by the attributes they care about, so they give up before the right product ever surfaces.

03

Merchandising by hand

Collection order is set once and forgotten, because re-sorting by performance, margin, or stock is a weekly manual job. Bestsellers and dead stock sit side by side.

04

Collections that go stale and flat

Building and maintaining collections by hand does not scale, so seasonal sets lag the demand they are meant to catch. And a grid of thumbnails is a weak way to discover, with no richer media to pull shoppers in.

What it is costing you

2-3x

higher conversion comes from shoppers who search, but only when search actually works.

Shoppers who use search convert at several times the site average. Every failed search and every unsorted collection sends your most motivated visitors to a competitor who makes the product easy to find.

How Spectrum closes it

One system runs the whole stage.

Spectrum runs discovery end to end: semantic search that reads intent, filters and merchandising that tune themselves, and collections that build and re-sort on their own. Shoppers reach the right product faster, and you stop merchandising by hand.

Search

  • Neural and semantic searchLive
  • SynonymsLive
  • Zero-results recoveryLive
  • Search analyticsLive
  • Inline filter suggestionsLive
  • Visual and image searchComing soon
  • Conversational shopping assistantComing soon

Filtering and facets

  • Dynamic faceted filtersLive
  • Field discovery and configLive

Merchandising and ranking

  • Collection merchandising, five sort strategiesLive
  • Rule-based boost and buryLive
  • Per-shopper rankingLive

Collections and browse media

  • AI collection generationLive
  • Smart collection rules and syncLive
  • Shoppable videoLive
  • Auto alt-text and image descriptionsLive
  • Homepage and recently-viewed recsComing soon

See it closed on your store.

A 20-minute walk-through. Real catalog, real data, the fix running on a duplicate of your live store.

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