Recommendation types
Below you can find a list of recommendation types you can create in Synerise:
- Cross-sell - This type of recommendation lets you offer complementary items to the ones customers are viewing and at the same time, encourage them to add more items to their shopping carts.
- Similar items - This type of recommendation suggests items which are similar to the item the customer is currently browsing.
- Cart recommendations - This type of recommendations allow you to create offers on the basis of the items your customer has added to the cart.
- Personalized recommendations - This type of recommendation is based on the customers’ purchase preferences and behavioral profile.
- Visual similarity - This type of recommendation suggests items which look similar (regarding shapes, colors, styles, etc.) to the item the customer is currently browsing. The recommendations of this type are prepared on the basis of images included in the feed.
- Last seen - This type of recommendation consists of the items which the customer has recently seen.
- Top items - This type of recommendation lets you select items based on popularity metrics.
- Item comparison - This type of recommendation is an extension of the similar items recommendation - apart from displaying items similar to the context item (currently viewed item), it shows the attributes of similar and viewed items in a table which makes them easy to compare.
- Recent interactions - This type of recommendation allows to promote items towards which the customers performed a specific action which you select. Apart from these most common, such as a visit to the item page, adding the item to the cart, marking the item as favorite, or purchase, you can select any measurable event related to items you sell.
- Section - This type of recommendation allows promoting best categories (or other type of item features, like a brand, style, collection) for the customer and dedicate each section to most suitable items, which in consequence lets you personalize the whole page.
- Attributes - This type of recommendation allows you to promote the features of the items, such as brand, styles, categories or any kind of attributes. The recommendation includes only the selected attributes, not items.
Below, you can find the table that shows how recommendation is generated (the source and context needed):
| Scenario | AI engine | Metric based | Client context | Item context | Multiple item context | No context |
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| Personalized |  |
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| Similar items | |
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| Visual similarity | |
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| Cross-sell | |
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| Cart recommendations | |
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| Last seen | |
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| Top items | |
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| Item comparison | |
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| Recent interactions | |
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| Section | |
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| Attributes | |
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Application of recommendations
The table below presents the application of recommendation types in business scenarios:
| Scenario | Home page | Category/brand page | Item page | Add to cart | Checkout | Zero search results | Post-purchase |
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| Personalized | |
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| Similar items | |
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| Last seen | |
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| Top items | |
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| Item comparison | |
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| Recent interactions | |
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| Section | |
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| Attributes | |
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