Course Outline:
Module 1: The Connected Kitchen (IoT)

• Introduction to the Internet of Things (IoT) in the kitchen

• Smart equipment: connected ovens, combi-steamers, and refrigeration

• Inventory sensors and automated replenishment systems

• The data cloud: how information is collected and used

Module 2: Kitchen Automation & Robotics

• The role of robotics in prep, cooking, and cleaning

• Case studies: automated burger flippers, sushi robots, and dishwashing arms

• Assessing the feasibility and ROI of automation

• VR/AR applications for training and maintenance

Module 3: The Digital Back of House

• Kitchen Display Systems (KDS) and integration with POS

• Recipe management and food cost platforms (e.g., Apicbase)

• Labor management and scheduling software

• Creating a fully integrated digital ecosystem

Module 4: Data Analytics & AI

• Introduction to data analytics for kitchens: interpreting COGS, sales mix, labor data

• AI for predictive ordering and demand forecasting

• AI-powered menu engineering and optimization

• Using data to reduce waste and improve sustainability

Module 5: Implementation & Change Management

• Creating a business case for technology investment

• Phased implementation: planning, testing, and rollout

• Training staff and managing the human impact of automation

• Final Project: Present a technology implementation plan for a given scenario