Product Collections Grouped Under Single Identifier
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Solution Overview
Problem
Conventional search and browse frameworks in online shopping become daunting for consumers due to the sheer number of available products, discouraging purchases as they are limited to surfacing highly related or equivalent products, failing to provide an efficient shopping experience.
Innovation Solution
The creation and surfacing of product collections associated with themed events, lifestyles, or experiences, allowing consumers to interact with curated groups of products as a single entity, using unique product identifiers that can be searched, browsed, and shared, leveraging machine learning and manual curation to recommend complementary products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional search and browse frameworks are used to display individual products, then product relevance is improved, but consumer navigation becomes daunting and purchase conversion decreases
Solution Approach 1:
Multiple individual products are merged into a single product collection entity that can be displayed and navigated as one unit. The collection groups complementary products (e.g., dining table with chairs, or complete outfit items) under a unified presentation, allowing consumers to browse collections rather than individual products, thereby simplifying navigation while maintaining product relevance.
2Loss of information
If individual products are displayed separately, then product detail visibility is improved, but shopping efficiency decreases due to the sheer number of products
Solution Approach 1:
The product catalog is segmented into themed collections based on consumer needs, occasions, or product categories. Each collection contains a subset of products that are logically grouped together (e.g., 'Summer Outfits,' 'Dining Sets,' 'Home Office Collections'). This segmentation allows consumers to focus on relevant product groups rather than browsing through all individual products, improving shopping efficiency while preserving product detail visibility within each collection.
3Measurement precision
If traditional search frameworks are used, then specific product search capability is improved, but discovery of complementary products is limited
Solution Approach 1:
Product collections serve multiple functions: they act as searchable entities for specific product needs, while simultaneously serving as discovery mechanisms for complementary products. When consumers search for or browse a collection, they can find both the specific products they need and discover related items they hadn't considered, making the system versatile for both precise searching and exploratory browsing.
Data Source
AI summary
Systems, methods, and computer-readable media are disclosed for generating and surfacing product collections having multiple products grouped under a single product identifier. Example methods may include receiving, from a user device, a request for product information and determining the product information. The product information may include at least a first product having a first product identifier. Certain methods may include determining, based at least in part on the first product identifier, a product collection. The product collection includes a group of second products and a second product identifier. The group of second products may be associated with a themed event. Certain methods may include generating a product presentation including the first product and the product collection and sending the product presentation to the user device.