AI is transforming online shopping by moving beyond simple chatbots and recommendation engines to deliver users experiences that are hyper-personalized, aware of their context, and proactive. By 2025, AI will be able to manage up to 95% of client contacts, according to studies. This will help brands figure out what consumers want, correct problems straight immediately, and get people more involved at every point of contact.
A new wave of businesses is making it easier, more entertaining, and safer to shop online. They are making things like self-driving shopping agents that learn what each customer loves and AI avatars that experts in their field teach.
Five innovative AI startups that are leading the way in this movement are Decagon, Qeen.ai, Daydream, Spangle AI, and Remark. This article talks about each one in depth. It explains about their cutting-edge technology, how they effect the actual world, how they make money, and how online retailers can climb to the top of Google and Bing.
1. Decagon: AI Help Agents for Smart, 24/7 Customer Service
In short
Decagon began in 2024 and includes AI-powered support agents who can handle tough consumer queries without having to transmit them to a human. For example, they may check on the progress of an order or make personalized product suggestions. Decagon’s virtual agents employ deep learning models that have been trained on data from e-commerce transactions to figure out what’s going on, how consumers feel, and how to make transactions go well.
The Most Important Things
- Understanding the situation: Decagon’s agents keep track of conversations across chat, email, and voice channels, so consumers don’t have to start over when they move platforms.
- Sentiment Analytics: Agents can refer delicate situations to real people when they need empathy since they can see how people feel in real time.
- Omnichannel Integration: The program has connectors for well-known platforms like Shopify, Magento, and Salesforce Commerce Cloud, which makes it easy to get started immediately.
- Self-Learning: The AI gets input all the time, which helps it improve its answers based on how satisfied consumers are and how quickly it solves problems.
Money and Growth
Business Insider says that Decagon got $100 million in a Series A financing in early 2025. This shows that investors believe it can lower support expenses by as much as 40% while making consumers 25% happy. Its clientele are D2C brands who are growing quickly and want to help more during busy buying times.
What EEAT is and how it works
- Expertise: Decagon’s leadership team includes AI researchers from top institutions and former support leads from major merchants.
- Experience: Decagon’s website provides case studies that show how deployments cut the average time it takes to handle a case from 10 minutes to less than 3 minutes.
- Authoritativeness: Academic conferences use Decagon’s whitepapers on conversational AI architectures as sources of information.
- Trustworthiness: Both brands and customers feel safe when there are strong data privacy certifications (ISO 27001, SOC 2) and explicit regulations regarding how data is utilized.
2. Qeen.ai: AI agents who buy and sell items without help
A Quick Look
Qeen.ai, which is spelled qeen.ai, is the first business to build agentic AI that can conduct all of a user’s shopping duties on its own, from locating and comparing products to checking out. Qeen.ai was created by people who used to work at Google and DeepMind. It makes agents that learn how each person shops by using natural language comprehension and reinforcement learning.
Main Features
- Shopping Bots: Users tell the agent what to do in simple terms, like “Find me a lightweight hiking backpack that costs less than $150.” The agent then goes to a lot of stores, utilizes promo codes, and even makes arrangements for delivery.
- Adaptive Upselling: The agent proposes goods that match well with what you’ve already bought and what you’re looking at right now. This raises the average value of an order.
- Privacy-First Architecture: Qeen’s servers never see raw personal information because all user preferences and transaction data are encrypted on the client side.
Money and Growth
TechCrunch states that Qeen.ai got $10 million in startup money in February 2025 to employ more developers and test integrations with mid-market retailers. Early tests with a few partners indicated that the number of goods in a cart went raised by 15% and the amount of time spent shopping went down by 30%.
Important Things to Know About EEAT
- Expertise: The co-founders hold PhDs in reinforcement learning and used to be in charge of AI teams at Alphabet.
- Experience: Pilot consumers are small outdoor retailers and fashion brands that sell directly to people.
- Authoritativeness: The blog on Qeen.ai goes into considerable depth regarding its technical stack, including how it helps open-source RL frameworks.
- Trustworthiness: The organization does third-party security audits every three months and posts the results in a concise form.
3. Daydream: A Look at Fashionable Conversational Shopping Chatbots
Julie Bornstein is in charge of Daydream. She used to be the COO of Stitch Fix and is now a specialist in online shopping. The business puts generative AI chatbots in clothing and other lifestyle retailers online. Daydream’s bots don’t only help with general questions; they also talk to consumers and aid them with style quizzes, picking out outfits, and checking inventories in real time.
Main Parts
- Style Persona Cloning: Bots learn from carefully chosen discussions and imitate the way professional stylists talk and what they know.
- Image-Driven Queries: Customers can upload photographs, and the bot will propose things from catalogs that match them.
- Cross-Sell Sequences: When people talk about things that are related to each other, it makes the average basket depth go up.
Money and Rollout
Daydream’s fashion-focused chatbot became live in June 2025. The business got $50 million in seed money in the middle of 2024. The company works with apparel businesses of all sizes. TechCrunch argues that early adopters made 20% more money from upsells and 12% more money from repeat purchases.
Certifications from EEAT
- Expertise: Julie Bornstein has a history of successful AI-driven personalization scale-ups.
- Experience: Daydream posts chat logs that have been made anonymous and demonstrate that consumers are quite happy (4.8 out of 5 on average).
- Authoritativeness: The case studies that are shown have code samples and plans for how to apply them.
- Trustworthiness: By default, data retention regulations remove chat logs after 30 days, although users can choose not to have this happen.
4. Spangle AI: Landing Pages That Use AI and Actually Work
Kuruvilla John, who used to be the CEO of Bolt, launched Spangle AI. It uses AI to build landing pages that alter based on how each user interacts with them. Spangle’s algorithm reads clickstreams and search queries in real time to create bespoke headlines, product displays, and call-to-action layouts that get the most people to take action.
Important Features
- The ProductGPT Model: A one-of-a-kind huge language model that has learned from taxonomies and marketing text for online stores. It can make material right away.
- Automated A/B Testing: Changes are made, performance metrics are tracked, and modifications are made without anyone having to do anything.
- Multivariate Personalization: Changes graphics, price highlights, and deals based on your location, identity, and activities.
Results and Money
According to TechCrunch, Spangle AI got $15 million in a seed round in March 2025 to improve its algorithm and grow into new fields. Clients in the electronics and home goods industries saw conversion rates go up by as much as 35% in the first two weeks after it was put into use.
Some elements of EEAT
- Experience: Kuruvilla John’s previous job was to make Bolt’s payment platform big enough to handle billions of transactions.
- Experience: White-label dashboards make it easy to see how AI makes decisions.
- Authoritativeness: Spangle AI produces research for the top marketing analytics conferences.
- Trustworthiness: Following the GDPR and CCPA’s strict requirements keeps consumer data safe.
5. Remember that AI “Expert Personas” can help you understand things from a human point of view when you need it.
Remark educates its models to converse to each other like genuine product experts do. This helps them discover a good balance between how well AI works and how much human knowledge it has. Retailers utilize Remark as a “human-like” advisor that can give both facts and personal recommendations, like “Which lens coating is best for night driving?”
Main Features
- Expert Cloning: AI personas sound, know a lot about, and sell like the finest in-house experts.
- Revenue-Share Model: Lets people who work with AI avatars gain money on sales made through them, which makes people want to work together.
- Scalable Coverage: The personalities in Remark’s network can converse about a wide range of topics, from tech gear to crafts crafted by hand.
Getting money and getting people to use it
Remark got $8 million in a Series A financing in May 2024. It has since added stores that sell electronics, outdoor gear, and beauty products. When customers connect with Remark personas, brands see fewer people leaving their sites and a 15% boost in the average order value.
Putting EEAT together
- Expertise: During training, real people verify AI responses to make sure they sound like the brand.
- Experience: Remark sends out monthly trust-score reports that show that the information is correct more than 92% of the time.
- Authoritativeness: It has been shown in TechCrunch’s “AI That Matters” shows.
- Trustworthiness: Full audit logs of AI-customer interactions make sure that persons are held accountable.
How to Make the Most of New AI CX Startups
- Make sure you’re ready: Look at the data’s age, the tech stack you already have, and the guidelines you need to follow.
- Pilot and Measure: Start with a modest use case, like supporting consumers after they buy something or helping them find a product, and keep track of KPIs like CSAT, AOV, and resolution time.
- Iterate Quickly: Use the self-learning features of new businesses to improve models based on what real customers say.
- Add human oversight: Make it easy for live agents to step in when things get serious, as when someone wants to return something or escalate an issue.
- Be honest with your customers about how you use AI and how you protect their data. Also, let them choose not to participate. This will make people trust you.
Questions That Are Often Asked
What does it mean to be a “AI customer experience startup”?
AI CX firms use computer vision, natural language processing, and machine learning to make it easier or better for customers to talk to each other. These interactions can be chatbots, virtual assistants, personalized information that changes based on what you like, and even shopping agents that do everything for you.
How can these tools help small to medium-sized online stores?
Many of the firms on the list can easily connect to well-known e-commerce platforms like Shopify and Magento. They also have obvious levels of price. You don’t have to perform a lot of technical work to try out powerful AI features.
Are consumers worried about their privacy when AI communicates to customers?
Yes. Most of the best startups follow the rules set by ISO 27001, SOC 2, GDPR, and CCPA. They also provide clients the option to opt out and encrypt their data on their end to make sure they respect the rules and earn their customers’ trust.
How much money can companies expect to get back from employing AI CX solutions?
Early adopters frequently see their conversion rates go up by 15% to 35%, their customer satisfaction scores go up by 25%, and their support costs go down by 30% to 40% within three to six months of utilizing the product.
What developments in the future should e-commerce CX leaders keep an eye on?
- Multimodal AI: Interactions that are more fun because they combine speech, text, and pictures together.
- Emotion AI: Video support for seeing how people feel and how they look in real time.
- Autonomous Commerce Agents: Bots that can take care of every part of a complicated buying procedure.
The end of the line
As AI becomes a bigger part of the customer experience, e-commerce firms that work with cutting-edge startups like Decagon, Qeen.ai, Daydream, Spangle AI, and Remark will have a clear lead over their competition. Businesses can make customers happier, more loyal, and more valuable over time by adopting hyper-personalization, proactive service, and empathy that feels like a real person. They can also make sure that data privacy and openness are always preserved.
These solutions will help you get the technical skills, knowledge, power, and trustworthiness you need to rank well on Google, Bing, and other search engines if you follow the EEAT principles.
References
- Emerging AI Innovations Transforming eCommerce Customer Support. Sobot. https://www.sobot.io/article/ai-trends-customer-service-ecommerce-2025/ Sobot
- 43 startups to bet your career on in 2025. Business Insider. https://www.businessinsider.com/startups-to-bet-your-career-on-in-2025-2025-2 Business Insider
- Google and DeepMind alums raise $10M for Qeen.ai. TechCrunch. https://techcrunch.com/2025/02/04/google-and-deepmind-alums-raises-10m-for-qee/ TechCrunch
- Julie Bornstein’s Daydream is releasing an AI-powered chatbot for fashion-related shopping. TechCrunch. https://techcrunch.com/2025/06/25/julie-bornsteins-daydream-is-releasing-an-ai-powered-chatbot-for-fashion-related-shopping/ TechCrunch
- Bolt’s former CEO is launching a new e-commerce startup. TechCrunch. https://techcrunch.com/2025/03/18/bolts-former-ceo-is-launching-a-new-e-commerce-startup/ TechCrunch
- Remark puts thousands of human product experts into AI form. TechCrunch. https://techcrunch.com/2024/05/23/remark-ecommerce-shopping-decision/ TechCrunch
