E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences - SiliconANGLE
E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences - SiliconANGLE
摘要: UPDATED 08:00 EDT / OCTOBER 12 2026
E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences
Mike Wheatley
正文
UPDATED 08:00 EDT / OCTOBER 12 2026
E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences
Mike Wheatley
Agentic e-commerce startup
Loops Smart AI
wants to help online retailers create more seamless buying journeys and streamline the shopping experience after raising $3.5 million in seed funding today.
Andreessen Horowitz’s a16z speedrun accelerator led the round, with NTT Docomo, Connecticut Innovations, Alumni Ventures and Monday Capital all participating.
These days, most online retailers have adopted artificial intelligence tools in some way or another, but the way they’re doing it, by adding one feature at a time, is the wrong way to go about it, said Loops co-founder and Chief Executive Ari Nazir (pictured, left). All it leads to, he says, is fragmentation and disconnected experiences.
For instance, a retailer might add one AI tool to help with product searches, and a separate chatbot for answering customer’s questions, then another for generating product descriptions, followed by another to enable virtual try-ons. Nazir said these AI tools are all useful on their own, but the problem is they’re running in siloes, so they only understand a small piece of the overall customer journey. This means retailers have to find a way to stitch them altogether if they want to be more helpful and actually surface the ideal product for each customer.
Nazir said he and his co-founder İlker Selim Zorluoğlu (right) experienced this disconnect for themselves while on vacation in Bali a couple of years ago. At the time, Zorluoğlu was trying to purchase a gift online for his two-year-old daughter, Nazir said, but he needed to ask a couple of questions about the product. He messaged the retailer several times across different channels, but never received a reply, and ultimately decided against buying the product in question.
“We started investigating why something so simple was still so difficult,” Nazir explained. “What we found