Everyday AI Podcast – An AI and ChatGPT Podcast

EP 368: The Power of AI in Retail - From Product Pages to Profits

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Sep 27, 2024

Bryan Gildenberg, Founder and CEO of Confluencer Commerce, shares his expertise in retail transformation and AI's impact on commerce. He delves into how AI is revolutionizing product pages, driving profits, and enhancing customer experiences. Gildenberg discusses the future of search influenced by generative AI and TikTok's organic reach. He addresses the balance between efficiency and creativity, cautioning against the homogenization of content. Ultimately, he emphasizes the need for personalized solutions to improve retail strategies.

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INSIGHT

Traditional vs. Generative AI in Retail

AI has been used in retail for decades, primarily for tasks like forecasting, supply chain, and pricing.
Generative AI's potential lies in personalization, but current applications are mostly enhanced chatbots.

INSIGHT

AI's Impact on Retail Businesses

The biggest current commercial use case for AI in retail is on the business side, not consumer-facing.
AI helps third-party sellers access platforms, manage content, and buy ads more efficiently.

ANECDOTE

AI-Powered Grocery Replenishment

Imagine an AI engine that uses all your receipts to predict your grocery replenishment cycles.
This could simplify grocery shopping by automating 80-90% of decision-making.

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Your retail strategy isn’t complete until AI is in the mix. Retail giants are harnessing the untapped power of AI—taking product pages from basic listings to profit machines. But are you missing out? We break down the real-world ways AI is changing the game for retailers everywhere with Bryan Gildenberg, Founder and CEO of Confluencer Commerce.

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Topics Covered in This Episode:
1. Current Commerce Ecosystem
2. AI in Retail
3. Potential Dangers of AI in Retail
4. Role of AI in Content Creation

Timestamps:
02:00 Daily AI news
05:10 About Bryan and Confluencer Commerce
08:04 Retail personalization backed by data has long existed.
12:51 Future of search and advertising with Gen AI.
15:53 Cracking TikTok's organic reach for big companies.
19:07 AI alleviates tedious tasks, improving consumer experiences.
22:11 AI might homogenize content; "artisanal content" emerging.
25:19 Data scientists are chefs; data engineers, food.
28:47 Identify user experience gap, assess commercial benefit.
32:32 AI: Solve specific problems, personalized, not tech problem.

Keywords:
AI in retail, Bryan Gildenberg, Jordan Wilson, AI R&D, future applications of AI, AI use cases, AI's impact on retail, AI's role in personalization, AI's role in content creation, training for AI, AI governance, AI responsibilities, AI's role in search, GenAI, AI in content creation, machine learning, AI in supply chain, AI in pricing, data engineering in AI, AI implementation, AI strategy for retail leaders, generative AI movement, traditional AI usage, AI competition, data requirements for AI, AI's role in customer experience, future of human-created content, dangers of AI in retail, impact of AI, AI and TikTok.

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