AureliaSuggest: AI product recommendations that complete the purchase
Are customers viewing a product without discovering accessories or alternatives that could suit them? AureliaSuggest analyses your sales and catalogue to present useful recommendations at relevant points in the buying journey.
Are customers missing part of your offering?
A matching lamp, a complementary accessory or a better-suited model can go unnoticed in a large catalogue. AureliaSuggest helps connect products and present these options while customers are making their choice.
- Help customers discover complementary products
- Present alternatives and higher-range options
- Improve recommendations that feel too generic
Help customers put together a more complete purchase
Suggest a useful complement
On a product page or in the cart, show products that complement the purchase. For example, suggest chairs with a table, based on relevant associations in your catalogue.
Highlight another option
A version with more features or a higher-range model may better meet the need. Recommendations help customers discover and compare these options.
Use your actual sales data
AureliaSuggest analyses available sales and buying behaviour to prepare recommendations. Product associations are informed by data from your own business.
Make suggestions at the right moment
Recommendations play different roles on different screens. Together, we choose placements on product pages or in the cart to support the decision without complicating checkout.
Recommendations connected to your catalogue
AXELITES connects sales data and recommendation placements in your store. We define useful associations with your e-commerce team, then track how visitors use the suggestions.
Catalogue and sales history
Your products and orders are the starting point. We check that the data can support relevant associations.
Product pages and cart
Recommendations appear on the selected screens with a presentation consistent with your store.
Commercial tracking
Recommendation clicks, associated purchases and average order value help assess their contribution to your business.
From your first requirement to everyday use
AXELITES supports each stage, with clear decisions and deliverables.
Identify recommendation opportunities
We review your catalogue and sales to select the products and journeys where suggestions could help customers.
Review the first associations
Your team reviews sample recommendations. We adjust suggestions and placements before they go live.
Observe and improve
We integrate recommendations into the store and prepare tracking. Observed results guide improvements with your e-commerce team.
Before you get started
Practical answers about AureliaSuggest and its implementation.
The solution prepares suggestions from your catalogue and available sales data. These may be complementary products, such as chairs with a table, or another option within a range. Associations are reviewed with your team to keep them useful to customers.
Product pages and the cart are two possible placements. On a product page, a suggestion can help customers compare or complement an item; in the cart, it can highlight a useful accessory. AXELITES defines placements and presentation with you around your buying journeys.
Before launch, we define indicators such as recommendation clicks, associated purchases and average order value. Comparing results with the starting point helps refine recommendations. Outcomes depend on your catalogue, traffic and commercial conditions.