Summary of the open, free, interactive, 4-hour MAPPING THE OPPORTUNITIES AI CREATES IN E-COMMERCE session
Goal?
The session aimed to illustrate the potential impact of AI on industries, focusing on e-commerce as an example industry. The objective was to identify impactful AI applications for e-commerce and demonstrate that non-technical teams could explore AI potential in their industry using some of our AI Design Sprint? tools and methods.?
Preparation of the starting point?
We mapped the e-commerce industry, identifying 9 overall tasks and 12 different actors/stakeholders involved. The seller & customer journeys in each overall task were also mapped, providing context for deep diving into each task.
Phase 1: Analysis of the e-commerce industry?
Pain points within the e-commerce industry and its overall tasks were identified by the team considering perspectives from the 12 different actors/stakeholders. Areas within e-commerce of future business/future value creation were also marked and described.?
Phase 2: Matching ChatGPT with e-commerce?
The team members, already familiar with ChatGPT to a degree, explored all ChatGPT features through our ChatGPT Cards. They identified ways to use ChatGPT in the 9 overall tasks by placing the cards and describing their use accordingly.
Phase 3: Matching AI with e-commerce
The team was introduced to all AI through our AI Cards which organizes AI applications into 13 categories. They placed these AI Cards in relation to the e-commerce tasks and described how they would use the cards' AI application for that e-commerce task.??
Phase 4: Specifying ideas?
Ideas prioritized by the team were moved into seller & customer journeys, creating new journeys that illustrated the application of AI in e-commerce. The team again visited the AI Cards to match them with the seller & customer journey steps.
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Phase 5: Generating more AI application ideas
The team members zoomed in by matching AI Cards with seller & customer journeys. And they zoomed out by matching AI category cards with the 9 overall tasks, and with e-commerce overall.?
Phase 6: Prioritisation
The team selected two overall tasks, "Supply Chain Management" and "Analytics and Reporting", with the most impactful AI applications.?
Phase 7: Final Prioritization
The team compared the prioritized AI applications based on their potential impact on e-commerce.
Opportunities AI creates for e-commerce
AI can connect the right customers with the right suppliers by knowing customer preferences and finding suitable suppliers. This not only automates processes but also increases forecasting accuracy and enables personalization by finding the right supplier for the product you want. And it increases sustainability in supplier selection and in producing the right product and quantity.
In other words, the opportunities AI creates for e-commerce is the connecting of the right customers with the right suppliers, thereby elevating the very essence of online commerce.
Phase 8: Possible next steps
The next steps include visualizing the new AI applications through seller & customer journeys and actors/stakeholders and a step-by-step outline of what the AI does, conducting a user test, a technical assessment, assessing customer value, and developing a business case.
Learning
Next time, our approach would include the team's visit to the 9 overall tasks describing and visualizing a picture of their ideal e-commerce. Later, they would explore how AI could bring their picture of the ideal e-commerce to life.?
Conclusion?
The session showcased the potential of AI in e-commerce and how non-technical teams could explore AI's possibilities for their industries. Future sessions will continue to explore AI's impact on other industries.