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Loops seed round: $3.5M from a16z speedrun to unify AI shopping tools
Loops brings AI search, shopping assistance, product enrichment and virtual try-on into one system for retailers. The Loops seed round comes from a16z speedrun, NTT Docomo and three other investors. Online shopping has become very good at showing people thousands of products and surprisingly bad
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E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences
E-commerce AI startup Loops raises $3.5M to create smoother online shopping experiences 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
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E-commerce AI startup Loops raised $3.5 million in seed funding led by a16z speedrun to build a unified AI-driven platform for retailers. The company addresses fragmented AI workflows by combining search, shopping assistance, product enrichment and virtual try-on into one system, helping retailers like A101 achieve 83% higher purchase conversion rates.

E-commerce AI startup Loops announced $3.5 million in seed funding led by Andreessen Horowitz's a16z speedrun, with participation from NTT Docomo, Connecticut Innovations, Alumni Ventures and Monday Capital
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. The investment will support product development, customer deployment capacity and international expansion as the company scales its unified AI-driven platform for retailers1
.The funding addresses a critical gap in online retail where AI tools arrive one workflow at a time, creating fragmented AI workflows that force retailers to stitch together separate products for search, customer support, product descriptions and virtual try-on
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. Co-founder and CEO Ari Nazir explains that this fragmentation leads to disconnected experiences where each AI tool only understands a small piece of the customer journey2
.Loops differentiates itself by creating a single, unified AI shopping tools platform built around the same product knowledge, business context and customer journey
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. The system integrates five core components: AI-powered search that understands natural language queries, real-time shopping assistance that answers questions across connected channels, product enrichment that standardizes catalog data for both humans and AI, and virtual try-on capabilities that help shoppers visualize products2
."The biggest mistake we see is treating AI as a collection of features," said İlker Selim Zorluoğlu, President and Co-Founder of Loops. "A retailer does not need five different AI products that each understand one slice of the customer. It needs one system that understands the catalog, the business and what the shopper is trying to do"
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. This architecture positions Loops to become an AI operating layer that could eventually extend beyond commerce into other industries1
.The company originated from a personal frustration when co-founders Nazir and Zorluoğlu were in Bali and Zorluoğlu tried to buy a gift for his two-year-old daughter
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. After messaging the retailer multiple times across different channels without receiving a reply, he abandoned the purchase2
. Investigating this problem revealed that shoppers were becoming comfortable asking AI questions in natural language, while most ecommerce experience still relied on keyword searches, dropdown menus and disconnected customer-service queues2
.Nazir built the first prototype in a single weekend, which has since grown into a platform serving over 70 customers and pilots
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. The company has processed millions of shopper experiences, with 64% of pilots converting into paying customers1
.Related Stories
Turkish supermarket chain A101 deployed Loops to help customers navigate its catalog and receive assistance throughout the buying journey
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. Sessions involving the platform showed approximately 83% higher observed purchase conversion compared to the comparison segment, though Loops notes this result is observational rather than a randomized measure1
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.Fashion retailer Mavi uses Loops for AI search and shopping assistance, allowing customers to describe what they want by style, occasion or fit instead of entering keywords or browsing category lists
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. Coffee retailer Tchibo achieved 13.6% higher average order values after implementing the platform2
.The seed funding validates a fundamental shift in how retailers should approach AI implementation. Rather than assembling multiple point solutions, the investment suggests that smoother online shopping experiences require integrated systems where better catalog data improves search, search provides context for the assistant, and customer engagement reveals where product information needs strengthening
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."AI is changing the interface between companies and their customers, but the lasting platforms will be the ones that can make it work reliably inside real businesses," said Fareed Mosavat, Investment Partner at a16z Speedrun. "Loops is starting in commerce, where the link between a better AI experience and business value is unusually clear"
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. The company's pilot conversion rates and early customer expansion demonstrate that retailers increasingly prefer buying a complete business capability rather than assembling and maintaining fragmented AI tools themselves2
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