Meet CTC's First AI Bot: A New Era in Ecommerce Creativity

This episode is unlike any other — we’re excited to introduce you to CTC's first ever AI bot guest! Join Taylor as he sits down with Jacob Posel, who is a real human, designed to revolutionize the way we think about creative strategy in ecommerce.

From discussing how AI is streamlining creative workflows to understanding the impact of machine learning on ad production, this conversation dives deep into the future of ecommerce. Learn how AI is helping brands create high-quality content quickly, efficiently, and cost-effectively.

Key Topics:

--The unique role of AI in creative strategy
-How AI is enhancing ecommerce and marketing
-Real life examples of AI generated content
-The evolution of creative processes with AI
-Practical tips for integrating AI into your business

Show Notes:

0:00 - Introduction
1:05 - Taylor's First Interview with a Non-Human Guest
2:12 - Meet Jacob, CTC’s First AI Bot
3:25 - Why Did We Create an AI Bot for the Podcast?
4:30 - Unveiling the Truth: Jacob Is Not Actually a Bot
6:00 - Jacob's Background in AI and His Journey to CTC
8:40 - How Jacob Caught Taylor's Attention with His Persistence
10:55 - The Power of Taking Action Over Just Talking
12:30 - Jacob’s Background in Fulfillment and Logistics
14:15 - How AI Is Changing Creative Strategy in E-Commerce
16:40 - Why Volume in Creative Production Matters
18:30 - Using AI to Synthesize Data for Creative Strategy
21:00 - Teaching AI to Follow Creative Strategy Frameworks
23:40 - The Role of AI in Production Processes
25:50 - Reinforcement Learning and Feedback Loops in AI
28:30 - Challenges in Ad Creative Production Today
30:20 - How AI Can Improve the Ad Production Workflow
32:10 - Is AI Creative Production Ready for E-Commerce?
34:45 - The Real Test of AI in Ad Performance
36:55 - Training AI Models for Product Photography
39:30 - Case Study: AI Image Generation Results
41:45 - Getting Started with AI for Your Business
43:10 - Upcoming AI Projects and How to Get Involved
45:00 - Conclusion: The Future of AI in E-Commerce

[NHammondDesign]

I remember an old episode where the CTC team talked about how they noted WHY they made changes in META in an effort to create a better working knowledge of what happened and what was already done to mediate it...super interesting to think about how you start to incorporate that process into the AI systems so that if somebody on the team leaves and a new employee has to jump in they immediately have the ability to interact with the AI to get up to speed faster.

Or at the very least if they're trying to prompt the AI for something that's already been done and hasn't worked they get some sort of response that tells them so and gives them the choice to either override it and keep going or continue down the path they're on.

At that point I start to wonder how you start to systematize when and where a human's decision making can point the AI in a new direction OR when the opposite needs to happen.

In the case of cost caps it's widely talked about that the algorithm can produce better results than humans over time...which leads you to the question of where does the human then actually sit?