
Brazil AC storefront
A catalog that recommends the next unit
An ecommerce site for a Brazilian air-conditioning firm, with recommendations from the catalog and the session.
12 wks
Catalog through recommendations
pt-BR
Storefront language
Specs
Recommendations cannot invent them
Client names, logos, and contracts stay unpublished under NDA. Software screens use sample data, not live records.
Outcome focus
Live recs
Shown from the current session and catalog
01 — Context
Challenge
The catalog was a price list. Shoppers comparing capacity and install type left without a sensible next unit, and staff answered the same sizing questions in chat.
02 — Method
Approach
The storefront is in Portuguese. Product pages carry capacity, voltage, and install type. A recommendation service ranks related units from the current session and from what sold with that class of product. It does not invent specs. The firm is unnamed under NDA.
Workflow
Browse specs
Capacity, voltage, and install type filter the catalog.
See related units
The row uses this session plus items people viewed or bought together.
Checkout
The cart keeps the chosen unit. Recommendations never replace the selection.
Outcomes
- Product pages lead with specs a buyer compares
- Recommendations update as the session changes
- Out-of-stock units drop out of the row
Measurement
Illustrative patterns from this engagement style
Sessions that opened a recommended unit
Illustrative share of product sessions that clicked a recommended unit after the row shipped.
- 6 W8
- 11 W9
- 17 W10
- 21 W11
- 24 W12
Checkpoint values
Same series as bars — useful for scanning week-to-week movement.
How the next unit was found
Illustrative.
Before
- Filter only50%
- Asked in chat35%
- Related row15%
After we rebalance
- Filter only40%
- Asked in chat18%
- Related row42%
Charts are illustrative patterns for how we sequence and measure work in this category. They are not audited financial results or guarantees.
Visuals
Project gallery
Forms and listings are sample interfaces. They are not screenshots of a client's live data.


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