Merchandising intelligence for guided shopping
See how shoppers are actually being routed through your catalog.
Across quizzes, product finders, bundles, collections, and shopping paths, Halytic shows which SKUs get exposure. It also shows which products anchor routines and where basket value is being created or missed.
Halytic Catalog report
Shopping path merchandising readout
SKU exposure concentration
Top 3 SKUs
44% of recommendation exposure
Multi-item vs single-product paths
2.3x
higher recommended basket value
Bundle gaps
Serums × Treatments
largest under-paired category path
Recommended basket value
$146
illustrative median
Routine path mix
Illustrative data
The problem
Guided shopping looks strong on the surface. The catalog story is harder to see.
Teams may see quiz starts, conversions, or basic collection performance. That still leaves the catalog routing story hard to read.
Halytic Catalog focuses on SKU exposure, routine paths, bundle behavior, and basket construction. Teams can see which products are being surfaced, paired, and built into higher-value carts.
What Halytic analyzes
A clearer read on the merchandising behavior inside guided experiences.
Across quizzes, bundles, collection navigation, and guided shopping experiences.
SKU Distribution
See which products get the most exposure and which products are under-routed.
Routine / Basket Paths
Compare full-routine behavior across multi-item vs single-product paths.
Bundle Performance
Identify which product pairs and categories naturally support higher basket value.
AOV Paths
Understand how guided sessions shape recommended basket value and purchase intent.
Sample report preview
Buyer-facing merchandising intelligence, not another analytics export.
The example below uses illustrative shopping path behavior to show the type of readout a pilot can produce.
Sample data shown for illustration. Live pilots use the brand's actual guided-shopping and catalog behavior.
Sample insight
Recommendation exposure may be too concentrated.
A small set of hero SKUs may be capturing most recommendation exposure. Complementary categories may be under-paired in routine paths.
Top 3 SKUs
44%
of recommendation exposure
Recommended basket value
$146
median
Largest cross-sell gap
Serums × Treatments
under-paired in paths
Routine opportunity
Add one
complementary step
How it works
A focused pilot with a concrete merchandising readout.
Review the shopping path
Map the quiz, product finder, bundle, collection, or routine path shoppers are using today.
Analyze SKU and basket behavior
Read the recommendations, pairings, routine paths, and basket value patterns behind the experience.
Deliver a merchandising readout with concrete tests
Turn the analysis into clear opportunities your ecommerce or growth team can evaluate quickly.
Pilot
Now accepting a small number of merchandising intelligence pilots.
For beauty and ecommerce brands using quizzes, product finders, bundles, collections, routine builders, or guided shopping paths.
Contact: raymond@halytic.ai