In a structured AI workshop, develop concrete, feasible, and measurable AI use cases from initial ideas—from problem definition to prototype.
Discover the AI Innovation Canvas and learn how to plan AI pilot projects in a structured way and make them measurable.
Embark on your personal learning journey and lay the groundwork for successful AI pilot projects.
Put your knowledge into practice and work with your team to develop use cases, ranging from retail marketing to category management and supply chain.
With Case Agent by pandata, you can evaluate as many AI project ideas as you like and integrate them strategically into your value chain.
Toolkit for Agile AI Development
Step 01
1
Problem definition
Use Case
04
Quote assistant
Step 03
3
Data sources
Identify and sharpen AI use cases for marketing, category management or supply chain in retail, practical, prioritized and ready for implementation.
Assess your data sources, data quality, accessibility and framework conditions so that the feasibility of an AI project can be evaluated realistically.
Define concrete goals and metrics to make the benefit, accuracy, efficiency and business value of AI projects measurable.
From demand forecasting to AI-supported campaign planning, develop a solution design that connects data, generative AI and retail requirements.
The success or failure of AI projects is often decided before the actual implementation begins. The AI Innovation Canvas helps you avoid misdirection, wasted resources and unclear objectives early on.
In the workshop, you analyze your project in a structured way in eight consecutive steps, from problem definition via data sources and AI methods to feasibility, responsibilities, goals and solution design. This creates a solid foundation for viable AI use cases in retail.
Let’s work through the eight steps together using a practical example. By the end, you will be able to use the canvas in your own context. Whether it’s about automation, customer experience, data-based decisions or internal processes, the process stays the same. What changes is the clarity you bring to your project.
The half-day workshop can serve as a kick-off to teach your team the basics of AI pilot project management. By arrangement, the workshop content can be tailored to your individual company use cases to directly strengthen your value chain.
Do you have questions about the workshop?
You can get information on venues and booking from our Academy team. Feel free to send us a message. We will get back to you as soon as possible.
The AI Innovation Canvas is a structured framework that helps companies systematically develop and evaluate AI ideas and turn them into first prototypes.
The AI Innovation Canvas is aimed at companies, teams and project leads who want to do more than just try out AI and instead use it deliberately for measurable added value. It is particularly suitable for innovation and digitalization departments, product managers, data science teams and consultants who need to moderate and structure AI projects.
Many AI initiatives fail because goals, data foundation, technical feasibility and organizational prerequisites are not defined clearly enough. The AI Innovation Canvas helps clarify these points early, identify risks and align stakeholders on a shared vision, so that vague AI ideas become robust use cases and actionable roadmaps.
In a typical workshop, interdisciplinary teams work on the canvas together. First, the business problem and the desired added value are sharpened, then suitable AI use cases, data sources and technical options are discussed. In the end, you have prioritized AI initiatives with concrete next steps, responsibilities and a clear plan for a first rapid prototype.
The AI Innovation Canvas is deliberately designed so that business departments and technical teams can work on it together. Technical details are addressed, but they do not come first. Even without deep AI know-how, business departments can use the canvas to formulate their requirements, processes and success criteria, creating a solid foundation for data scientists and developers.
The AI Innovation Canvas complements existing digitalization and analytics initiatives in retail and FMCG by focusing specifically on AI potential. It can be integrated into existing projects on merchandise management, pricing, CRM, omnichannel and supply chain, and offers a unified framework to evaluate new AI use cases, set priorities and identify risks early, without “overrunning” existing systems or processes.
