Alternatives that help shoppers decide
Present alternatives to the product being viewed and help shoppers compare relevant options.
SMART RECOMMENDER
From one product,to new discoveries.
Fluxis Smart Recommender helps shoppers discover alternatives and complementary products with AI-powered recommendations. Manage the strategy, appearance, and placement of recommendations, then track their performance in one dashboard.
AI-powered recommendationsDesign controlA/B testing
FLUXIS / SMART RECOMMENDER
SAMPLE FASHION STORE
Complete the look.
Product in view: wrap midi dress
SAMPLE BRANDLeather shoulder bag2.490 TL
SAMPLE BRANDEveryday sneakers1.890 TL
SAMPLE BRANDAcetate sunglasses1.290 TL
FROM PRODUCT CONTENT TO CONTEXT
Understand the product. Connect it with the need.
AI analyzes product descriptions and attributes to connect color, texture, specifications, and intended use. Recommendations can then reflect what the shopper wants to complement or change at that moment.
From color to style, choices that work together.
PRODUCT IN VIEWCream leather sneakers
Cream tone · Leather texture · Everyday use
AI connects the context
AI considers color, texture, and usage context in the product content together. A bag in a related tone and accessories can be suggested for an everyday look.
Color harmonyTextureOccasion
COMPLEMENTARY SUGGESTIONS
SAMPLE BRANDTaupe shoulder bag
Neutral tone · Everyday style
TRY 2,490SAMPLE BRANDAcetate sunglasses
Warm tone · Everyday accessory
TRY 1,290A DIFFERENT PURPOSE FOR EACH PLACEMENT
The right recommendation strategy, in the right place.
Offer alternatives, complement a product, or introduce a new collection. Shape each recommendation area around its purpose.
Products that work together
Surface a bag or shoes alongside a dress. Create opportunities for discovery and cross-selling.
Discovery through popular products
Give visitors a starting point by presenting your store’s best-selling products in a recommendation area.
Visibility for new products
Create a discovery area for new catalog additions and showcase seasonal selections across your store.
Define your selection
Combine brands and categories through rule groups to create campaign or collection-focused product areas.
YOU ARE IN CONTROL
Designed to fit your store and its shopping journey.
Shape the appearance
Use titles, alignment, and theme settings to build classic or editorial product areas. Check the design in mobile and desktop previews.
Choose the placement
Select the appropriate homepage, product detail, category, cart/drawer, or landing page area. Use automatic placement or manual code insertion.
Compare variants
Compare two variants in the same area through an A/B test. Review results for the measurement period to inform your next adjustment.
FROM IMPRESSIONS TO ORDERS
How is each recommendation area performing?
Review impressions and clicks alongside attributed orders and revenue. Evaluate performance by date range, placement, and widget, and export your reports.
Smart Recommender
SAMPLE DATALast 30 days · Sample fashion store
Impressions74,000
Clicks3,340
Attributed orders278
Attributed revenue₺535,600
CTR 4.5%Click → Attributed order 8.3%
Homepage · New-season picksPublished
20,000 impressions · 60 attributed orders
Product detail · Complete the lookPublished
28,000 impressions · 84 attributed orders
Cart · Pairs well togetherPublished
8,000 impressions · 80 attributed orders
Category · Best sellersPublished
12,000 impressions · 30 attributed orders
Landing Page · Seasonal colorsPublished
6,000 impressions · 24 attributed orders
LET’S SET IT UP TOGETHER
From your catalog to recommendations in your store.
Review the catalog
Share your store URL and catalog. We’ll review the product data and the needs of your recommendation areas.
Choose strategy and design
Define the first placement’s purpose, location, and appearance. Review the design preview for your storefront.
Prepare placement and measurement
Plan automatic placement or manual code insertion. Check impression, click, and order measurement during setup.
Is there a free trial?
Yes. Smart Recommender includes a 30-day free trial. Submit a request and we’ll plan the catalog connection, recommendation strategy, and placement in your store together.
What is Smart Recommender?
Smart Recommender is an AI-powered product recommendation module for e-commerce stores. It supports similar and complementary products, best sellers, new arrivals, and selections based on brand and category rules.
Where is AI used?
AI analyzes product content and attributes to connect products with usage needs. This context supports similar and complementary product recommendations. You can also choose other strategies such as best sellers, new arrivals, and custom rules to suit your needs.
Where can recommendations appear?
Recommendation placements can be prepared for the homepage, product detail, category, cart/drawer, and landing page areas. Choose the location around your store’s shopping journey.
Can I change the design?
Edit titles, alignment, and appearance in the dashboard, and use classic or editorial layouts. Review mobile and desktop design previews.
Can I run A/B tests?
Yes. Compare two variants in the same recommendation area and review results for the selected test’s measurement period. Consider sample size and duration when interpreting differences.
How can I track performance?
Review impressions, clicks, CTR, attributed orders, and revenue overall, by placement, and by widget. Orders and revenue use a 7-day attribution window following the last recommendation interaction.
How is it different from AI Search?
AI Search starts with a shopper’s search query. Smart Recommender presents alternatives and complementary products at different points in the store. The two modules support different moments in the same shopping journey.
Get Started
Try Smart Recommender free for 30 days.
Let’s review the strategy, design, and placement for your store and plan a 30-day free trial with your own catalog.
- AI-powered alternatives and complementary products
- Design and placement control
- A/B testing and performance reports