Dynamic Print Product Recommendation Interface

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Solution Overview

Problem

Existing recommender systems for online shopping require significant customer input or rely on pre-stored preferences, which can be time-consuming and inefficient, especially when recommending print products based on dynamic factors like geographic location or time of year.

Innovation Solution

A system and method that dynamically categorize and display recommended print products on a user interface based on geographic location, time of year, or metadata, using a processor to select relevant product groups and format displays accordingly, allowing for real-time and personalized recommendations without manual filtering.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a recommender system uses pre-stored customer preferences or requires customer input to recommend products, then the recommendations can be personalized to customer interests, but the system becomes time-consuming and inefficient for customers

Engineering Contradiction:

Improvepersonalization of recommendationsVSAvoidtime required for customer input

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically gathering customer information from multiple sources (social media profiles, browsing history, purchase history, device data) before the customer even interacts with the recommendation system. This pre-collection and analysis of data eliminates the need for customers to manually input preferences, achieving personalization without time loss.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by automatically analyzing customer data and generating personalized recommendations without requiring customer effort. The system serves itself by autonomously collecting, processing, and acting on customer information from various sources, making the personalization process transparent and effortless for the user.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If a recommender system manually filters products based on customer preferences, then accurate recommendations can be provided, but the process becomes inefficient and requires significant customer effort

Engineering Contradiction:

Improveaccuracy of product recommendationsVSAvoidefficiency of product discovery

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system replaces the mechanical process of manual filtering with an automated computational system. Instead of customers manually applying filters and refining searches, the system uses algorithms to automatically analyze customer data and filter products, maintaining high accuracy while dramatically improving efficiency and productivity.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The recommendation system is dynamic and adapts in real-time based on customer interactions and data. The system continuously refines recommendations by processing customer feedback, browsing behavior, and purchase history, achieving high accuracy through adaptive algorithms rather than static manual filtering.

Inventive Principle:

Principle #15Dynamics

3Loss of information

If a system displays all relevant products to a customer, then complete product information is available, but the customer cannot efficiently locate desired products without manual browsing

Engineering Contradiction:

Improvecompleteness of product informationVSAvoidtime to locate desired product

Core Design Contradiction:

Loss of informationVSLoss of time

Solution Approach 1:

The system extracts and highlights the most relevant products from the complete set of available products based on customer data analysis. Instead of displaying all products and hoping customers find what they need, the system selectively presents the most relevant options first, maintaining information completeness while dramatically reducing search time through intelligent extraction and prioritization.

Inventive Principle:

Principle #2Taking out (Extraction)

Data Source

PatentUS20240212016A1System and method for dynamically displaying recommended digital print products on a computer user interface

Publication Date: 2024.06.27 FUJIFILM NORTH AMERICA CORP

AI summary

A system, device and method for dynamically displaying a digital representation of one or more recommended print products is provided. The system comprises a memory storing a print product ordering system, and a computing device, wherein the system is configured to: provide a digital representation of each of a plurality of print products stored in the memory; automatically select a first print product group from a plurality of print product groups; provide a print product group recommendation including digital representations corresponding to at least one of the plurality of print products; provide at least one digital image, and wherein the computing device is configured to: display the digital representations corresponding to at least one of the plurality of print products; and display the at least one digital image in association with each of the digital representations corresponding to the at least one of the plurality of print products.