Cloud Print Release AI for Localized Promotions
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Solution Overview
Problem
Direct marketing campaigns often fail to effectively target users with relevant promotions, leading to intrusive experiences and low engagement, as they lack personalized and timely recommendations, and do not generate revenue for businesses hosting multifunction peripherals (MFPs) without additional costs.
Innovation Solution
A cloud platform integrates secure print release capabilities with an AI module that profiles user metadata and geolocation to provide user-centric, locally relevant promotions on MFPs, allowing local businesses to participate in shared marketing campaigns and generate revenue by pushing relevant advertisements to users at the time of print release, using co-occurrence data to refine recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional direct marketing campaigns are used to promote local businesses, then businesses can reach users, but the marketing becomes intrusive and fails to effectively target users with relevant promotions
Solution Approach 1:
The system delivers promotions with local quality by providing geographically-relevant offers based on the MFP's location and user context. Each user receives customized promotions relevant to their local area rather than generic marketing, making the experience useful rather than intrusive.
Solution Approach 2:
The system implements feedback loops where user interactions with promotions (printing, viewing, ignoring) are tracked and used to refine future recommendation algorithms. This continuous learning ensures promotions become increasingly relevant and less intrusive over time.
2Adaptability or versatility
If cloud-based printing systems allow users to release print jobs at any registered MFP, then users gain flexibility in location and time, but businesses hosting MFPs do not generate additional revenue without incurring extra costs
Solution Approach 1:
The MFP system performs multiple functions: it serves as a cloud print release point, a digital marketing distribution channel, and a revenue generation device. By integrating promotion delivery and targeted advertising capabilities into the existing print release infrastructure, the system creates additional value without requiring separate systems.
Solution Approach 2:
The system enables MFP hosting businesses to generate revenue automatically through targeted advertising and promotion delivery. The AI-driven recommendation engine and promotion distribution occur autonomously based on user context and business participation, requiring minimal additional operational effort from MFP hosts.
3Measurement precision
If AI module profiles user metadata and geolocation to provide personalized promotions, then user-centric recommendations are generated, but system complexity increases
Solution Approach 1:
The cloud platform serves as an intermediary that handles the complex AI processing, user metadata profiling, and promotion matching. This relieves the MFP devices of complex computational tasks, allowing them to remain relatively simple while still delivering personalized promotions through the cloud-based AI engine.
Data Source
AI summary
A system and method directs promotional information, such as coupons of possible interest to a user, when they release their cloud-stored print job from a multifunction peripheral at their selected location. The user is identified, along with their location, and promotional information of possible relevance to the user is displayed on the multifunction peripheral touchscreen. Information selected by the user will be printed out along with their released print job. Businesses register and store their promotional information with the cloud print server, and may be assessed a fee when their literature is printed.