Technology: Further, Faster, Fun
Generative AI tools are creating the fastest sports equipment on the planet. AI will revolutionise every stage of the product development process, from ideation to manufacturing, resulting in faster-paced innovation and higher-quality products.
Strategies:
- Implement Generative AI-powered design and engineering tools into your product development process. Generate diverse design iterations, reduce waste, and shorten development cycles
- Optimise your supply chain management with Gen AI by predicting demand, optimising inventory levels, and identifying cost-saving opportunities. Streamline logistics operations, reduce lead times, and enhance product development and delivery efficiency
- Reduce development and wear testing timelines by implementing AI simulators to model dynamic environments and situations to test products in a fraction of the time. Mckinsey Digital’s AI bot beat human sailors when tested in a racing simulator for Emirates Team New Zealand. This enabled McKinsey Digital to use the bot to test thousands of AI-generated foil designs in various weather conditions. Without the restrictions of human sailor’s schedules, they could do so 24/7 on rapid repeat
In action:
- Jacobs Engineering optimised its design for the NASA Exploration Portable Life Support System with generative AI, optimising designs based on materials, manufacturing processes and performance requirements. This resulted in a mass reduction of up to 50% of parts, reducing launch weight and fuel consumption, all while improving astronaut mobility
- Pactum AI, a supply chain management software used by shipping company Maersk, leverages its chatbot to search for transportation rates more efficiently within established agreements or secure a quote automatically if one is unavailable
- Product development is not the only area using generative AI – it can enhance fan enjoyment, too. To improve the Formula 1 racing experience in the 2022/23 season, F1, along with governing body the FIA and technology partner AWS, used generative AI and ‘computational fluid dynamics’ to analyse turbulence in the wake of the cars. The result was a product that enabled closer wheel-to-wheel racing, making it more competitive and enjoyable for drivers and fans alike