Market Context — Why This Technology, Why Now

Digital transformation in the service sector is accelerating, driven by consumer expectations for seamless, personalized experiences and the imperative for businesses to enhance operational efficiency. This technology aligns perfectly with the global shift towards data-driven customer engagement and automation, enabling businesses to differentiate themselves by offering unique, tailored services while optimizing resource allocation in a competitive landscape.

Key Competitive Advantages
01

Enhances Customer Satisfaction and Sales through Personalization

02

Reduces Implementation Costs and Operational Burden

03

Establishes a Strong Proprietary Position and Robust IP Foundation

Market Opportunity
Restaurant Chains
$13B–$14B globally (AI est.)
There is a high demand for improving customer experience and reducing labor in the restaurant industry. Personalized menu offerings directly lead to increased average customer spend, making active adoption highly probable.
Large restaurant groups Fast-casual dining chains Hotel restaurant operators Food service technology providers
Retail & E-commerce
$65B–$70B globally (AI est.)
This technology can integrate in-store purchasing experiences with online recommendation systems, stimulating customer buying interest and contributing to new sales strategies.
Major retail chains Online grocery platforms Apparel and specialty retailers E-commerce solution providers
Hotel & Tourism
$25B–$28B globally (AI est.)
By offering personalized suggestions for in-facility restaurants and activities based on guest history and preferences, this technology could enhance customer satisfaction and increase average spend per facility.
International hotel groups Cruise line operators Theme park and resort developers Travel technology platforms
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a method for personalized information provision, specifically for generating and displaying customized menus based on user preference data, leveraging smartphone integration and QR code systems. Its robust claims, having overcome prior art, ensure a broad and stable scope of protection.

Competitive White Space

This patent primarily focuses on personalized menu generation and display. White space exists in areas such as dynamic pricing based on real-time demand, integration with smart kitchen automation for order fulfillment, or advanced nutritional tracking beyond basic preferences.

Economic Impact
~$200K/year estimated revenue increase per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming a restaurant with 2,000 monthly customers and an average spend of $20 (AI est.) implements this technology, a 15% increase in average customer spend would result in an estimated annual revenue increase of $20 (AI est.) × 15% × 2,000 customers × 12 months = $72,000 (AI est.). For multi-location enterprises, this effect could multiply, potentially contributing to annual revenue increases in the hundreds of thousands of dollars.

Speed to Market
6× faster than in-house development
This technology has a well-established core algorithm for generating menus based on user preferences, and the basic design for smartphone integration is complete. This significantly reduces development time compared to in-house efforts. Proof-of-concept data is also available, allowing licensees to focus on API integration with existing systems and UI/UX customization, potentially shortening time-to-market by approximately 2.5 years. This enables rapid market entry and strengthens competitive positioning.
Competitive Positioning

X: Customer Engagement Enhancement
Y: Operational Efficiency Contribution

Business Models & Applications
☁️ SaaS Platform Provision
Offers this technology as a cloud-based SaaS to food service and retail companies. A monthly subscription model ensures recurring revenue, with data analytics as an added value.
🔗 API Integration Solution
Provides solutions that integrate personalized menu features via API with existing POS and CRM systems, minimizing client system investment.
📊 Data Utilization Consulting
Offers consulting services to support menu development and marketing strategy using customer preference data collected by this technology, enabling high-value business expansion.
Adjacent Application Opportunities
🛍️ Retail & E-commerce
Personalized Product Recommendation System
Applicable to recommending optimal products on e-commerce sites or in physical stores based on customer purchase and browsing history. Could boost sales of seasonal and new products, enhancing the customer shopping experience.
✈️ Travel & Tourism
Customized Travel Itinerary Suggestions
Adaptable to systems that propose personalized travel plans and activities based on user travel history and interests. Could optimize dining locations and event information during trips, creating highly satisfying travel experiences.
🏥 Healthcare & Nutrition
Dietary Advice Based on Health Conditions
Usable as a system to generate optimal meal plans and nutritional advice based on user health data (allergies, medical conditions, diet goals) and dietary restrictions. Could support healthier eating habits.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Requirements & Design
Duration: 3 months
Define detailed integration requirements with the licensee's existing systems (POS, CRM, etc.) and design the system architecture, including API specifications and data flow for this technology.
Phase 2: Prototype & PoC
Duration: 6 months
Develop the core algorithm and smartphone integration prototype. Conduct a Proof of Concept (PoC) in limited stores or with user groups to verify effectiveness and gather feedback.
Phase 3: Deployment & Optimization
Duration: 9 months
Based on PoC results, deploy the system to the production environment. Continuously analyze data to improve algorithms and optimize UI/UX, maximizing business contribution.
Technical Feasibility
This technology utilizes user smartphones as an interface and employs a universal mechanism to acquire restaurant IDs via QR codes. The patent claims include an "information processing apparatus" and a "program," suggesting a software-centric implementation. Therefore, data integration with existing POS and menu management systems is relatively straightforward via APIs, and it can be introduced without significant capital investment. The technical hurdle for system integration is considered low.
Success Scenario
Upon adopting this technology, customers in restaurants could simply scan a QR code with their smartphone to automatically display a menu tailored to their past order history and preferences. This could reduce customer menu selection time by 20% and potentially increase average customer spend by 10%. Restaurant staff could reduce time spent explaining menus, allowing them to focus on providing higher quality service. Ultimately, this envisions a future where both customer satisfaction and store profitability are simultaneously enhanced.
Patent Record
APPLICATION NO.
特願2021-538700
REGISTRATION NO.
7065320
FILING DATE
2020/03/09
GRANT DATE
2022/04/28
EXPIRATION DATE
2040/03/09
PATENT HOLDER
パナソニックＩＰマネジメント株式会社
Examination History
2021年06月30日
手続補正書（自発・内容）
2021年06月30日
出願審査請求書
2021年06月30日
早期審査に関する事情説明書
2021年08月24日
早期審査に関する通知書
2021年11月09日
拒絶理由通知書
2021年11月29日
意見書
2021年11月29日
手続補正書（自発・内容）
2022年02月22日
特許査定
2022年08月22日
国際予備審査報告（英語）