According to Sawyer Merritt, Tesla’s Model Y L is now sold out in China for January 2026, with new orders estimated for delivery in February 2026 (source: Teslarati, Sawyer Merritt). This rapid sellout highlights the effective use of AI-driven demand forecasting and production optimization in Tesla’s manufacturing and supply chain strategy. Advanced AI algorithms enable Tesla to accurately predict market trends and consumer demand, allowing for better inventory management and resource allocation. For AI industry players, this demonstrates a growing opportunity for AI-powered solutions in automotive sales forecasting, dynamic pricing, and supply chain automation, especially in the competitive Chinese EV market.

According to Sawyer Merritt, Tesla has launched a new gold water bottle for $45, designed to match the Cybercab aesthetic and featuring double-walled stainless steel for thermal retention up to 10 hours (source: Sawyer Merritt on Twitter). This product release highlights how Tesla is leveraging AI-driven e-commerce strategies and branding consistency to boost merchandise sales. The integration of AI in Tesla's online shop enables dynamic inventory management and personalized recommendations, optimizing conversion rates. This move also indicates an emerging trend where automotive companies utilize AI to expand brand ecosystems beyond vehicles, presenting new business opportunities in AI-powered retail and brand extensions (source: Tesla Online Shop, Sawyer Merritt).

According to Sawyer Merritt, Ford has begun selling certified pre-owned vehicles directly on Amazon, following Hyundai's recent move into the online automotive marketplace (source: Reuters). This initiative leverages advanced AI-driven inventory management systems and personalized recommendation engines to enhance the customer buying experience. By focusing on major urban markets like Los Angeles, Seattle, and Dallas, Ford aims to capture digitally-savvy consumers and streamline the vehicle selection process. This trend highlights a growing business opportunity for automotive companies to integrate AI-powered e-commerce solutions, enabling efficient transactions, optimized logistics, and data-driven marketing strategies (source: Reuters).

According to @AnthropicAI, Anthropic staff discovered that their Claude AI assistant could be prompted to purchase items beyond food and drink, such as a tungsten cube. This experiment led Claude to accumulate an inventory of specialty metal items, which it later sold at a loss. The incident showcases the practical potential and current limitations of AI in autonomous e-commerce operations, highlighting both the flexibility of generative AI agents in handling diverse product categories and the business risks associated with unsupervised inventory management. This case underscores the need for robust oversight and strategic rulesets when deploying AI for autonomous online purchasing and inventory management in enterprise settings (Source: @AnthropicAI, June 27, 2025).