Nurtilek Raimzhanov and Zuhayr Abdullazhanov started their online selling journey at 15 and have since built Siml, an AI platform that now runs over 1,000 online stores by autonomously handling all operational tasks.
- Siml AI autonomously manages e-commerce store operations
- Agentic commerce projected to generate $3-$5 trillion globally by 2030
- AI-driven online traffic conversion rates now exceed paid search
What happened
Nurtilek Raimzhanov and Zuhayr Abdullazhanov met in high school and began selling products online at the age of 15, starting with hand sanitizer during the COVID-19 pandemic. Their early experience handling listings, ads, and customer communications inspired them to create tools to automate repetitive tasks, eventually leading to the launch of Siml, an AI platform that fully runs online stores.
Today, Siml manages over 1,000 stores and is backed by prominent Silicon Valley investors. Unlike most AI commerce tools that assist with discrete tasks, Siml takes complete operational custody by integrating store functions into one autonomous control system that can handle pricing, listings, compliance, returns, and customer support.
Why it matters
The global retail e-commerce market is expected to reach $6.9 trillion in 2026, but running an online store remains complex and labor-intensive, with sellers facing challenges such as customs compliance, classification codes, pricing strategies, and customer service. Siml addresses these pain points by automating the entire store management process, freeing sellers from the demanding second shift of e-commerce operations.
Moreover, the rise of agentic commerce—where shoppers rely on AI assistants to browse and buy products—has transformed online retail traffic. Adobe Analytics revealed a 393% year-over-year increase in AI-driven visitor traffic in early 2026, with these visitors converting at rates 42% higher than traditional paid search and email channels. However, only 66% of product pages are currently optimized for AI readability, highlighting a significant gap that Siml’s autonomous approach seeks to bridge.
What to watch next
Siml’s evolution points to a broader shift toward deeper automation in e-commerce, with agentic commerce predicted to drive $3 to $5 trillion in global sales by 2030. Observers should monitor how Siml and similar AI platforms adapt to increasing regulatory and operational complexities, such as the U.S. suspension of the de minimis exemption and growing customs requirements.
Additionally, the ability of AI systems to enhance product discoverability and purchase conversion through improved machine-readable content will be crucial. The expansion of autonomous control systems like Siml could redefine competitive dynamics in the e-commerce sector, potentially enabling more entrepreneurs and small businesses to scale with significantly reduced operational burdens.