AI powered Bucky POC
Self-funded proof of concept — an AI-powered dining assistant integrating conversational ordering, personalized recommendations, and POS-connected checkout across mobile and table-side tablets.
Duration
1m
Team
1
Scale
POC
Scope
North America
Overview
The project centered around the development of the Bucky Dining Experience, an AI/NLP-enabled system for the retail restaurant sector, specifically for a client initially conceptualized as Dunedin BBQ. The engagement aimed to revolutionize how restaurants integrate conversational AI and virtual assistants into their operations, grounded in a research-led approach that focused on enhancing customer satisfaction and operational efficiency.
Challenge
Restaurants grapple with demands for faster and personalized service, often resulting in errors or stress from multitasking.
Many lacked the tools for effective cross-promotion and revenue optimization without disrupting existing systems.
Seamlessly integrating new technologies with current POS systems was crucial for smooth adoption.
Research & Discovery
Conducted stakeholder workshops to understand pain points in current restaurant operations.
Performed usability testing to evaluate the effectiveness of AI interfaces in real-world scenarios.
Led user interviews to gather insights into customer preferences and staff workflows.
Solution & Deliverables
Designed a hybrid solution integrating mobile apps, table tablets, and conversational AI assistants for seamless POS integration.
Delivered a mobile app and in-venue tablets enabling customers to place orders, customize meals, and receive personalized recommendations.
Ensured the solution included real-time menu updates, automated reservation management, and cross-promotion features to engage the local community.
Developed an analytics dashboard offering insights into customer preferences and operational performance while ensuring WCAG 2.0 AA compliance for accessibility.
Results & Impact
Results included improved table turnover, reduced order errors, and enhanced customer satisfaction.
Personalized upselling and cross-promotion drove anticipated revenue growth and strengthened community ties.
Optimized workflows contributed to higher staff earnings and reduced stress, measured through behavioral analytics and satisfaction surveys.
Committed to data privacy by embedding GDPR compliance and responsible data handling practices from the outset.
Project Artifacts
Project Details
Industry
Hospitality
Duration
1m
Team Size
1
Direct Reports
0
Scale
POC
Scope
North America
Budget
Self-Funded
Platforms
Web, Mobile Native iOS and Android
Regulatory
Moderate
Engagement
Self-Funded Proof of Concept