Uber Eats is integrating AI tools to enhance food images, improve menu descriptions, summarize reviews, and enable direct chat with customers, aiming to improve user experience and merchant visibility, though the effectiveness of these features remains uncertain.
Home Depot reported a 3.10% decline in sales for Q3, with revenue slightly exceeding expectations. The company experienced decreased foot traffic and purchases over $1,000, as consumers focused on smaller projects and tightened their belts. Categories like flooring and countertops saw softer engagement, while pro-heavy categories like roofing and insulation performed well. Home Depot aims to strike a balance between transaction volume and ticket size as it navigates the post-pandemic slowdown. The company plans to maintain promotions for Black Friday appliances and seasonal garden items, but has scaled back on discounts for home improvement products.
The global digital advertising sector is undergoing a transformation as companies adapt to the impending end of third-party cookies and the rise of data privacy laws. Businesses are exploring new advertising techniques and shifting towards using first-party data obtained with user consent. Machine learning (ML) and artificial intelligence (AI) are playing a crucial role in analyzing and extracting valuable insights from raw data to create personalized customer experiences. ML-powered feature engineering can accelerate the process of identifying valuable data, while AI can help maintain and update ML models for accurate predictions. Visualization through business intelligence dashboards allows stakeholders to access and utilize the generated data. The potential of AI and ML in solving real-world problems and achieving unique organizational goals is vast and customizable.