Food and Beverage

How will DePIN and AI impact the Food and Beverage industry?

Business Idea: Start a global brand of Food Trucks running on Crypto+AI Rails to prove value proposition with boots on the ground retailers and customers.

Context

• AI Agents
• Agriculture: Upstream supply of primary products
• Manufacturing: Equipment and processes for effective production
• Packaging: Containers for storage and transport
• Microservices: Tech Engineering at DoorDash
• Vertical Integration: Control flow value from top to bottom, start to finish

Business Models

1. B2B Platform: Digital platforms connect restaurants with food suppliers, streamlining the ordering process.
2. Subscription Model: Charge suppliers a subscription fee to access the platform and its features.
3. Focus on Efficiency and Sustainability: Value proposition reducing food waste, improving supply chain efficiency, and promoting sustainability.
4. AI-Driven Solutions: Invest in AI to automate and optimize various aspects of the food supply chain.
5. Supply Chain: AI engineering efforts span from NLP for order processing to large-scale machine learning for supply chain optimization.

See Business Models

Technology

1. End-to-end AI System Development: This includes designing, implementing, and optimizing AI models and systems.
2. Technical AI Vision and Roadmap: The role involves driving the company's overall AI strategy and project planning.
3. Large-Scale Machine Learning: They're working on deploying and maintaining large-scale ML systems, likely for processing and analyzing vast amounts of supply chain data.
4. Natural Language Processing (NLP): Given their AI solution for processing orders from various text-based inputs (emails, SMS, voicemails), NLP is clearly a key area of focus.
5. Computer Vision: While not explicitly mentioned, this could be relevant for product recognition or quality control in the food supply chain.
6. AI Infrastructure: The job involves working on the infrastructure to support AI/ML models in production environments.
7. Data Pipeline Development: Creating efficient data pipelines for training and serving AI models is part of the role.
8. AI Ethics and Fairness: The job description mentions a focus on responsible AI development.

See Disrupting Technology

Playbook

Leverage AI across multiple aspects of the food supply chain, with a particular focus on automating and optimizing the ordering process between restaurants and suppliers.

1. Order Processing Automation: AI automatically captures and processes orders from various sources (voice, text, email) into standardized digital formats.
2. ERP Integration: AI integrates directly with suppliers' ERP systems for real-time order management.
3. Predictive Analytics: Use AI for demand forecasting and inventory optimization.
4. AI-Powered Marketing: AI marketing assistant to help suppliers create and analyze promotional campaigns.
5. Continuous Learning and Optimization: AI systems improve as they process more data from the food supply chain.
6. Scalable AI Solutions: AI handles increasing order volumes without proportional increases in human labour.

See Operations Playbook and Engineering Standards

Projects

Businesses that are leveraging AI and Crypto to remove friction from their operating models while gaining better customer engagement to realize greater profits.

Endeavour	Platform	JTBD
Baxus	Solana	Whiskey, dVaaS
Bistroo
Blackbird		Restaurant Loyalty
Boba Guys	Solana
Byte	AI Agent
Chocco	N/A	AI Supply Chain
DeVIN Labs	Solana	Wine, dVaaS
Devour Go
Heartstone Farms

• Platform: Tokenized Assets and Technology
• JTBD: Job to be Done and Point of Difference