Top 10 AI-Powered Product Consulting Providers in E-Commerce 2025

In 2025, more online retailers are using AI-powered product consulting to help customers select complex products that require extensive consultation (e.g., electronics, furniture, cosmetics, sports equipment). These digital consultants work through dialogue and interaction - some using generative AI and natural language, others using decision trees, recommendation engines, or multimodal interfaces. They simulate the experience of personal consultation and help find suitable products from an extensive range. This results in more informed purchasing decisions, higher conversion rates, and more satisfied customers. Below, we present the top 10 providers of AI-based product consulting solutions in e-commerce 2025 - including special features, strengths, and application examples.

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1. Qualimero

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Qualimero is an AI platform for customer service, lead generation, and product consulting particularly known for its advanced AI product consultants. The system recommends suitable products in real-time based on customer needs and can even check order status or schedule appointments. As an innovation leader, Qualimero focuses on explainable AI and excellent user experience (UX) - meaning the AI transparently explains its recommendations, building trust, and the user interface is particularly intuitive. Thanks to a "done-for-you" approach, the Qualimero team handles AI training and integration, allowing companies to get an optimized digital consultant without much effort. In 2025, Qualimero is used by various companies to automate complex consulting processes and guide customers through the decision process with personalized recommendations.

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2. Zoovu

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Zoovu is considered one of the most established providers of digital product finders and AI innovations in retail 2025. The platform structures product data and enriches it with conversational language to enable conversational search, product configurators, and interactive assistants. "Our AI platform helps people find the right information online to make better purchasing decisions," explains Zoovu CEO Rob Mullen. Zoovu is used by over 2,500 companies and generates more than 25 billion USD in annual revenue for these retailers. Major brands already successfully use Zoovu - Microsoft uses Zoovu for the laptop finder in the Microsoft Store, and Nespresso offers a gift assistant with Zoovu that guides customers to the ideal coffee machine through targeted questions. These dialogue-based consultants provide personalized product recommendations across channels and demonstrably higher conversion rates.

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3. Salesforce Commerce GPT (Einstein)

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In 2024, Salesforce introduced Commerce GPT, a generative AI extension for its Commerce Cloud platform. The core consulting feature is the Commerce Concierge - an AI-powered shopping assistant enabling personalized, dialogue-based product conversations. Using natural language, the Concierge helps customers easily discover the right product seamlessly across different channels, from web shops to messaging apps. By integrating real-time data from Salesforce Data Cloud, Commerce GPT offers contextual recommendations and dynamic content. For retailers, this means customers receive individual support throughout their purchase process - with automatically generated purchase recommendations, personalized offers and interactive consultation via chat if desired. Since Salesforce holds a leading position in CRM, businesses can seamlessly integrate this AI consultation into their existing commerce workflows. Early pilot users report that Commerce Concierge helps make the online shopping experience more personal and engaging to increase customer loyalty and revenue (GA available since early 2024).

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4. AskSid (Gupshup)

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AskSid - now part of conversational tech company Gupshup - specializes in AI-powered virtual shopping assistants for retail brands. The solution was specifically developed for retail and brings deep domain knowledge in e-commerce. AskSid's AI consults customers in natural language, answers product questions, assists with product selection and can act as a customer service bot. A notable example is luxury lingerie manufacturer Wolford, which rolled out a virtual advisor with AskSid in 15 countries. The AI was implemented within just 4-6 weeks and quickly delivered results: 3% more online revenue per quarter through better consultation and high-quality 24/7 customer support. AskSid stands out because the AI bots are trained on the customer's product ranges - including automatic knowledge base ("Retail AI Brain") - and continuously learn from customer dialogues. Since the acquisition by Gupshup (2022), AskSid can be integrated even more broadly, e.g. in messenger platforms, and helps international retailers (from fashion to cosmetics) implement digital consultation at a human level.

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5. FrontNow

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FrontNow is an emerging European provider pioneering AI product consulting. The FrontNow Advise solution offers AI-powered, personalized product recommendations exactly where customers need them - whether in online shops, customer accounts, or mobile. FrontNow combines conversational AI with personalization algorithms to guide customers through the product range and suggest suitable options through dialogue. Leading companies already trust this solution: Coop, Audi, and Zurich Airport use FrontNow to adapt their customer experience to changing customer behavior. Besides chat-based consulting (Advise), FrontNow also offers AI-powered filters and personalizations on websites through Enhance, helping customers find suitable products faster. Results show higher conversion rates and increased shopping cart values. FrontNow scores with flexible integration and targets companies seeking a turnkey AI consulting solution with strong service. As an innovative player in the German and Swiss markets, FrontNow continues advancing the fusion of consulting and personalization.

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6. Homie (yourhomie.ai)

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Homie is a German AI live consulting solution for online shops focused on conversion optimization. The software integrates easily into existing shops and provides automated, personalized consulting in real-time to support customers in purchase decisions. Through a chat interface, users receive quick answers to product questions, customized recommendations 24/7. Homie acts as a digital sales consultant, clarifying key questions (e.g., product variants, compatibility, usage tips) and suggesting suitable items. According to OMR ratings, users particularly appreciate Homie's ease of use and simple setup (rating >9 out of 10). Data protection and hosting in Germany/EU are also supported, which is important for many retailers. Although specific customer references are rarely public, Homie is successfully used by initial mid-sized e-commerce providers to improve online consulting in electronics retail or furniture sales. With Homie, even smaller shops without in-house AI expertise can offer high-quality purchase consulting to their customers, similar to a personal salesperson in a physical store.

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7. Heyday (Hootsuite)

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Heyday - originally a Canadian startup, now acquired by Hootsuite - is an AI chatbot platform specifically for retail. It enables merchants to have product-related conversations with customers via chat and combines text with video chat for a highly interactive experience. Heyday is used globally: The solution has customers in 77 countries, including major retailers like French sports chain Decathlon and fashion brand Bestseller. Lacoste also uses Heyday for international chat customer service and consultation. Heyday's approach is to bring in-store consultation to customers' living rooms. Customers can ask questions through websites or messengers (e.g. Facebook, WhatsApp) - such as which running shoe fits their needs or which outfit is recommended - and the AI responds with suitable suggestions, product images and links. Heyday can also seamlessly transfer to human staff when needed. During the COVID pandemic, demand accelerated enormously as retailers needed to replace in-person consultation. Heyday's success is reflected in high ROI: Decathlon achieved an 875% return on Facebook ads through a Heyday chatbot by efficiently converting interested chat users into buyers (according to case study). With its multilingual capabilities and easy integration into shop systems, Heyday is a popular choice in 2025 for retailers wanting to establish online chat consultation as a sales channel.

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8. IBM Watson (XPS)

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IBM was a pioneer in AI product consultation and developed innovative solutions with Watson as early as the mid-2010s. A well-known example is the collaboration with The North Face: Here, IBM's Watson-based system "Expert Personal Shopper (XPS)" was used to guide customers online through a Q&A game to find the ideal jacket model. The virtual consultant asked questions like "Where and when will you use the jacket?" and recommended suitable outdoor clothing based on the answers. During the pilot phase, 60% of users clicked on at least one of the suggested items - proof that relevant recommendations activated customers. IBM advanced the technology and completely acquired Fluid's XPS system in 2016 to offer Watson broadly as a Conversational Commerce solution. Besides The North Face, Watson XPS was also implemented at 1-800-Flowers to find the right gift from a huge assortment. Today, IBM Watson Assistant offers companies a platform to build their own AI consultants - often combined with IBM iX consulting. Large corporations use Watson-based chatbots in e-commerce, travel and even insurance sectors to provide dialogue-oriented customer consultation. IBM's strength lies in natural language processing and integration into enterprise systems; the solutions are highly customizable but usually require a larger implementation project. For complex product worlds and industries with high consultation needs (e.g. technical products), IBM Watson remains one of the top addresses.

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9. Constructor

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Constructor (Constructor.io) is a specialized provider focused on product data-driven shopping experiences. Unlike pure chatbot companies, Constructor focuses on AI-powered product search and discovery, while also offering interactive consultation elements. The software uses machine learning to continuously learn from shopper behavior - from search queries to clicks and purchases. Discovery tools like intelligent search bars (with autosuggest), dynamic category pages, and personalized product recommendations work together seamlessly. Constructor claims to solve product discovery challenges by aggregating and analyzing all data points. This helps customers get more relevant search results (even for complex natural language queries) and curated recommendations that improve the more they use the site. As a result, retailers using Constructor should achieve higher revenue per visit through better matching of customer needs and product offerings. As one of the emerging players in "AI Product Discovery", Constructor has received significant investment and competes with industry leaders in the search and personalization segment. Several large online retailers (in electronics and groceries) already use Constructor to develop their shop into a "learning advisor" that enables personalized product journeys for each user. For 2025, Constructor is particularly interesting for retailers who want to combine search, recommendation and consultation in one AI platform.

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10. Algolia (Search & Discovery AI)

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Algolia is primarily known as a search-as-a-service platform but has also evolved into an important provider for product discovery and consultation through its AI capabilities. Algolia's API is used by numerous online retailers to provide lightning-fast search results pages and auto-completion. Newer AI modules enable semantic search and personalized recommendations, helping customers find relevant products without extensive filtering. In recent years, Algolia has invested heavily in AI - including acquiring neural search technology - and raised $150M funding (2021) at a $2.25B valuation. This puts Algolia in direct competition with enterprise solutions like Coveo or Lucidworks, which also offer AI-powered personalization solutions. For retailers, Algolia offers the advantage of a proven, scalable platform that can be relatively easily integrated into shops or apps to create an advisory search assistant. For example, combining Algolia with a language model could build a chatbot that searches the product database for answers (some retailers are already experimenting with this). Even without explicit chat, Algolia already provides a kind of "silent consultation": Customers who type "camera for sports photography" into the search field receive matching product hits thanks to AI understanding, as if a store clerk had specifically helped. Through this smart product search and ability to adapt to trends in user behavior, Algolia will be a key component of many e-commerce technology stacks in 2025 to efficiently guide customers to their desired products.

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Conclusion

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The ten providers presented demonstrate how diverse AI will be used for product consultation in e-commerce in 2025 - from specialized startups to tech giants. They share the goal of offering online customers competent, personalized consultation similar to brick-and-mortar retail. Whether through dialogue-oriented chatbots, interactive decision trees, or intelligent search assistants - the right AI solution can make a difference, especially for consultation-intensive products. Companies benefit from increased sales and more satisfied customers, while consumers find their ideal product faster and with more confidence. The rapid development - especially in generative AI - suggests these digital consultation assistants will become even more natural and helpful in the future. E-commerce providers who adopt such innovations gain a clear competitive advantage in digital customer experience.