电子商务 AI 启动 Loops 融资 3.5M 创建更平滑的在线购物体验
代理电子商务启动Loops Smart AI希望帮助在线零售商创造更无缝的购买旅程，并在今天筹集350万美元的种子资金后精简购物体验。
安德烈森·霍罗维茨(Andreessen Horowitz)的a16z速度加速器领导了该轮比赛，NTT Docomo，康涅狄格州创新公司，校友风险投资公司和星期一资本公司都参加了比赛。
这些天，大多数在线零售商都以某种方式采用了人工智能工具，但是他们这样做的方式，每次增加一个功能，是走错路了，称 Loops联合创始人兼首席执行官Ari Nazir(图，左). 它导致的，他称，是分裂和断开的经验。
例如，零售商可能增加一个AI工具来帮助产品搜索，另外还有一个单独的聊天机来回答客户的问题，另一个用于生成产品描述，然后是另一个用于虚拟尝试。 Nazir 称这些人工智能工具都是自己有用的，但问题在于它们都是在井里运行，这意味着零售商必须找到一种方法把它们完全缝合起来，如果他们想要更加有帮助，并且实际上为每个客户展示理想的产品。
Nazir 称与共同创始人Ilker Selim Zorluoğlu(右翼)几年前在巴厘度假时，当时，佐鲁奥卢正试图在网上为其两岁的女儿纳齐尔·称购买礼物，但他需要问几个关于产品的问题。 他多次通过不同渠道向零售商发信息，但从未得到回复，最终决定不购买相关产品。
Nazir解释说，“我们开始调查为什么这么简单的事情仍然如此困难”。 零售商缺乏在AI驱动的世界运作所需的基础设施。 消费者对用自然语言问AI问题感到自在，但网上购物仍依赖于下拉菜单、关键词搜索和断开的客户服务队列。”
Nazir和Zorluoğlu决定看看他们是否能够修复这种断开的体验，他们想出的解决方案是单一的，统一的AI层，能够理解零售商的整个产品目录，摄取其商业背景，然后从最初发现一直到最后购买都遵循每个shoper的意图。
一起循环
为了能够实现这一顺利的客户旅程，Loops依赖于五个核心组件，包括一个AI搜索和产品发现工具，使得人们以自然语言搜索产品变得简单，还有一个购物助理可以实时回答他们的问题。 在引擎盖下，有一个产品浓缩工具，用于清理和规范零售商产品目录中的数据，因此可以被人类和AI阅读。 最后，Loops为购物者提供了一个虚拟的尝试工具，让他们可以直观地看到产品穿戴时的外观。
Loops通过在单一的系统内提供这些能力，可以追踪Shopper从第一时间起在零售商的平台上的旅程。 店主可以描述自己想要的东西，如果他们在浏览不同产品建议时
Nazir解释说，“我们的方法带来将这些能力结合在一起，形成一个围绕每个企业的产品、知识和客户旅程的综合解决方案”。 “更好的产品信息支持更好的搜索；更好的发现支持更有用的购物对话；这些互动揭示了进一步改善经验的机会。”
纳齐尔·称环球已经改变了70多家在线零售商的购物经验，这些零售商已经运用其平台，加强数以百万计的客户行程。 其最大的客户是土耳其超市连锁A101，在整合了Loops的AI工具后，其客户转换率提高了83%，令人印象深刻。 咖啡零售商Tchibo获得了13.6%的平均订单值。
时尚零售商马维彻底重塑了购物体验。 而不是消费者输入关键词或通过分类列表搜索
“我们希望我们的客户购买一种他们能够依赖而不是自己组装和维持这种能力的商业能力。”
但从长远来看，Loops认为其连通的客户旅程除了在线零售之外，也能在其他行业带来好处。 因此，它计划扩大金融服务和能源等部门，将脱节的工作流程编织成精简的、端到端的经验。
“商业是我们的起点”,Nazir 称。 “但更大的雄心是帮助公司成为AI本土：AI成为工作方式的一部分，而不是在现有软件中添加的孤立特征。”
他的雄心壮志吸引他到Loops，以及事实已经表明，称先生说：“Loops开始于商业，在商业中，更好的AI经验与商业价值之间的联系异常明确。” 品牌想要一个能拥有更多旅程的平台。
照片：环球AI
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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 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 was a much bigger problem than unanswered messages: Retailers lacked the infrastructure to operate in an AI-driven world. Consumers were becoming comfortable with asking AI questions in natural language, but online shopping still depended on dropdown menus, keyword searches and disconnected customer-service queues.”
Nazir and Zorluoğlu decided to see if they can fix this disconnected experience, and the solution they came up with was a single, unified AI layer that can understand a retailer’s entire product catalog, ingest its business context and then follow each shopper’s intent from initial discovery all the way through to the end purchase.
Looping it all together
To enable this smooth customer journey, Loops relies on five core components, including an AI search and product discovery tool that makes it simple for people to search for products in natural language, and a shopping assistant that can answer their questions in real time. Under the hood, there’s a product enrichment tool for cleaning up and standardizing the data inside retailer’s product catalogs, so they’re readable by both humans and AI. Finally, Loops offers a virtual try-on tool for shoppers to visualize how products will look if they’re wearing them.
By offering these capabilities within a single system, Loops can track the shopper’s journey from the moment they first land on the retailer’s platform. Shoppers can describe what they’re looking for, and if they have questions at any stage while they’re browsing through different product suggestions, it’ll provide the answers immediately, drawing on the enriched product catalog data.
“Our approach brings these capabilities together into a holistic solution built around each business’s products, knowledge and customer journey,” Nazir explained. “Better product information supports better search; better discovery supports more useful shopping conversations; and those interactions reveal opportunities to improve the experience further.”
Nazir said Loops has already transformed the shopping experience for more than 70 online retailers, which have deployed its platform to enhance millions of customer journeys already. One of its biggest customers is the Turkish supermarket chain A101, which increased its customer conversion rate by an impressive 83% after integrating Loops’ AI tools. The coffee retailer Tchibo benefited to the tune of 13.6% higher average order values.
The fashion retailer Mavi has completely reinvented its shopping experience. Instead of consumers entering keywords or searching through category lists, they can simply tell its AI concierge what they’re looking for by describing an occasion, a style or a particular type of fit.
“We want our customers to buy a business capability that they can depend on, rather than assemble and maintain that capability by themselves,” Nazir said.
The funds from today’s round will help Loops to scale up its platform globally, but in the longer term, Loops believes that its connected customer journeys can also be beneficial in other industries besides online retail. That’s why it has plans to expand into sectors such as financial services and energy, weaving disconnected workflows into a streamlined, end-to-end experience.
“Commerce is our starting point,” Nazir said. “But the larger ambition is to help companies become AI native: where AI becomes part of how work gets done, rather than an isolated feature added to existing software.”
Fareed Mosavat of a16z Speedrun said it’s this grand ambition that most attracted him to Loops, along with the fact it has already shown it can work reliably inside real businesses. “Loops is starting in commerce, where the link between a better AI experience and business value is unusually clear,” he said. “Its pilot conversion and early customer expansion shows that brands want a platform that can own more of that journey.”
Photo: Loops AI
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