Kibo Commerce: How Agentic AI is redefining scale, simplicity, and speed in ecommerce
In this episode we talked about:
- How to implement a three-pronged AI strategy across product development, business scaling, and innovation acceleration
- The framework for deploying AI agents (Engage, Configure, Explain, and Tune) to enhance commerce platforms
- Why composability and decomposability are equally crucial in modern commerce architecture
- How to identify the right market fit for complex commerce solutions involving multiple inventory locations and SKU catalogs
- The strategic approach to building vs. buying vs. partnering in the age of AI-driven development
- Why AI-powered conversational commerce won't entirely replace traditional platform capabilities
- How to balance business productivity with developer flexibility in enterprise commerce solutions
- The evolution of AI adoption patterns between internal platform tools and customer-facing applications
🎧 Listen now on Apple Podcasts, Spotify, or YouTube
Episode highlights:
01:15 – From feature to foundation: How KIBO builds AI into the core
06:35 – Defining complexity: Why KIBO wins with multi-channel businesses
09:43 – Composable vs. decomposable: Finding the “goldilocks” balance
12:34 – Build, buy, or partner? KIBO’s framework for faster innovation
15:14 – Inside agentic commerce: How KIBO’s AI agents transform workflows
20:23 – The future of transactions: What happens when LLMs meet commerce
Ram’s bottom line: Scaling isn’t just about hiring more—it’s about thinking differently. The next generation of ecommerce companies will operate with entirely new cost structures, powered by agentic AI that drives productivity, personalization, and speed. Success will belong to the brands that embrace AI not as a feature, but as the foundation for every customer and operational experience.
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