Glossary:AI product consulting
9 min.
What is AI product consulting?
AI product consulting refers to the use of artificial intelligence to guide website visitors through a personalized selection process and recommend the product or service that best fits their individual needs — in real-time, without human consultation, on the website itself.
The market for AI-powered recommendation systems is growing at an annual rate of 33.06%: from 9.15 billion US dollars in 2025 to an estimated 38.18 billion US dollars in 2030 (Source: Mordor Intelligence, 2025).
How does AI product consulting work?
AI product consulting functions as a digital advisor that translates the classic sales conversation in physical retail to the digital realm. Instead of a long form or confusing filter function, it leads visitors through a natural conversation:
Understanding needs: The advisor analyzes the user's input — whether it's a free question like "I'm looking for a gift for my father who enjoys hiking" or a structured selection. It recognizes intent, context, and constraints such as budget or preferences.
Evaluating product catalog: From the integrated product catalog or database, the AI filters out relevant matches — not by exact keywords, but by semantic meaning. A children's shoe manufacturer whose products are described as "durable" will also be found with the inquiry "long-lasting".
Generating personalized recommendations: Based on the user profile that develops during the conversation, the AI formulates an explained recommendation. Not just "Here are three products," but "This backpack is suitable for your needs because...".
Asking follow-up questions: If the query is vague or there are too many suitable products, the advisor asks targeted follow-up questions — like an experienced seller who listens before recommending.
Triggering action: After the recommendation, the advisor directly guides the user further: to the product page, to the cart, to the booking form, or to a consultation appointment.
Providing data for marketing: Every interaction generates structured data about customer needs, purchase barriers, and product preferences — a continuous stream of data that no static filter element can provide.
At branchly, the Advisor takes on exactly this role. It combines AI-powered search and product consulting in one module and is directly integrated into the website architecture — not as an external widget, but as a natural part of the user experience. Over 40 million AI-powered sessions show that users actively engage with this consulting approach (Source: branchly, 2026).
AI product consulting vs. static product filter
Feature | Static Product Filter | AI Product Consulting |
|---|---|---|
Operation concept | Users manually select attributes from dropdown lists | Users describe their needs in their own words |
Language understanding | Only recognizes exact categories and filter values | Understands semantic meaning, context, and nuances |
Personalization | None — results are identical for all | Individual — recommendations are based on the individual conversation |
Quality of consulting | No explanation of why a product fits | Explains why a recommendation fits the need |
Handling uncertainty | Too many or no hits without guidance | Asks follow-up questions to narrow down the result |
Multilingualism | Requires separate translation of all filters and labels | Responds natively in the visitor's language |
Data & insights | Aggregated click data, hardly usable | Detailed intent data per interaction |
Interaction rate | 0.5–1% of website visitors | 5–10% as a widget, 45–50% in embedded representation |
The interaction rate is the clearest indicator of the difference: Classic filter UI reaches under 1% of visitors across the industry. The branchly Advisor achieves 5–10% as a floating widget and even 45–50% in embedded representation — because visitors realize they are getting an answer instead of struggling through attributes (Source: branchly customer data, 2026).
Why AI product consulting is important for European companies
More conversions from existing traffic
You have invested in traffic. Visitors come to your website — and leave without buying or booking because they haven't found the right product. AI product consulting closes exactly this gap. According to the Baymard Institute (2025), the conversion rate can be increased by up to 35.26% through better user guidance — which corresponds to about 260 billion US dollars in recoverable revenue across the industry (Source: Baymard Institute, 2025). An advisor that does not leave visitors with filter options alone but actively advises them is a direct lever for that.
Personalization as a new market expectation
73% of customers today report that companies treat them as individuals — in 2023 it was still 39% (Source: Salesforce State of Connected Customer, 2025). The jump shows: Personalization is no longer a differentiator, but a basic expectation. Those who greet visitors with a generic product filter while the competition offers individual advice not only lose a sale — but also the trust in the brand. The branchly Advisor directly addresses this expectation: Every recommendation is specific to the visitor who is currently asking.
GDPR, EU AI Act, and European compliance
For medium-sized companies in Europe, data protection is not an IT question but a business risk. Many US-based AI solutions for product recommendations process user data outside the EU — which is problematic under GDPR and leads to blockages in data protection audits. branchly runs on Microsoft Azure in European data centers, is GDPR compliant, EU AI Act ready, and meets WCAG accessibility standards. This means: No discussions with the legal department or works council before the tool goes live.
International visitors without translation effort
A product consultant that only works in German excludes a large part of potential buyers. branchly natively supports 101 languages — the advisor responds in the visitor's language even if the product catalog is only in German. For companies with an international range of products or seasonal strong foreign audiences, this is not a nice-to-have, but a measurable conversion factor. Over 11 million users have already been served through the branchly platform — in 101 languages, across different industries and markets (Source: branchly, 2026).
AI product consulting in practice: Typical application scenarios
E-commerce
A visitor types into the advisor: "I am looking for running shoes for a half marathon, I am a beginner, and I have a budget of around 120 euros." The branchly Advisor searches the product catalog for semantic relevance, considering budget, user profile, and purpose — and provides an explained recommendation with a direct link to the product page. The difference from a classic product filter: The visitor does not need to know which attributes to filter by. They describe their intention, and the advisor translates it into a purchasing decision. For shops with a wide range of products or products that need explanation, this is a direct lever for cart conversions.
Tourism
On a travel provider's website, a visitor asks in Spanish: "¿Qué actividades hay para familias con niños pequeños en julio?" The advisor responds in Spanish, even though the website only exists in German — and suggests three suitable package offers with a short description. branchly not only translates the language but understands the intent: family, small children, summer. For tourism providers who want to attract international guests without maintaining separate language versions, this represents a significant operational advantage. The quality of consulting matches that of an experienced employee — around the clock and without waiting time.
Financial services and B2B
In the B2B and financial environment, the decision-making process is rarely linear. A potential customer searching for the right account product or software license has specific requirements that they can hardly fully represent in a filter dialog. The branchly Advisor guides through targeted follow-up questions — such as company size, intended use, or regulatory requirements — while qualifying the lead at the same time. Sensitive inquiries are transparently forwarded to a human advisor. GDPR compliance, auditability, and data protection-compliant processing are not optional extras but part of branchly's core architecture.
Related Terms
Frequently Asked Questions
What is AI product consulting in simple terms?
AI product consulting is a digital advisor on your website that guides visitors through questions and answers about the product that best fits their needs. Instead of clicking through filters, the user describes their intentions in their own words — the AI translates this into a personalized recommendation. The result feels like a conversation with an experienced salesperson who listens before recommending.
What is the difference between AI product consulting and a product filter?
A product filter shows results based on the attributes that the user selects themselves. This assumes that the user knows what they are looking for — and in which categories. AI product consulting turns this around: The user describes their need, the AI asks clarifying questions, and provides a justified recommendation. The measurable difference lies in the interaction rate: Static filters reach under 1% of visitors, while the branchly Advisor achieves 5-10% as a widget and up to 45-50% in embedded display (Source: branchly, 2026).
Is AI product consulting the same as a product recommendation algorithm?
No. Traditional product recommendation algorithms are based on aggregated behavior data: "Customers who bought X also bought Y." They do not know the individual user in the current moment. In contrast, AI product consulting builds an understanding of the individual user during the conversation — their requirements, budget, context — and provides a tailored recommendation that it also explains.
Which industries are suitable for AI product consulting?
AI product consulting works wherever users need to choose between multiple options and require guidance: E-commerce with a wide range of products, tourism providers with many packages and target groups, financial service providers with complex products, and B2B companies with configurable solutions. branchly deploys the Advisor across all of these verticals — from online shops to travel providers to financial institutions.
How long does it take to set up an AI product consultant?
This depends on the complexity of the product catalog and the desired integration. For a simple setup with an existing product catalog and standard branding, the setup time at branchly typically takes a few days. More complex integrations with CRM connections, individual conversation logic, or multilingual catalogs may require one to three weeks. branchly offers a one-time setup service so that marketing teams can implement it without ongoing IT efforts.
What data does AI product consulting provide for marketing?
Every advisor interaction is a structured source of customer needs. You can see: Which products are most frequently inquired about, what budget limits are mentioned, which objections repeatedly occur, and where the consulting process breaks off. This intent data is more precise than click analytics, because users explicitly formulate their needs — rather than just signaling through click behavior. branchly makes this data accessible in the dashboard without a separate analytics tool.
Is AI product consulting GDPR compliant?
This strongly depends on the provider. Many AI-driven recommendation solutions run on American servers and transfer user data to third countries, which poses a significant risk under GDPR. branchly processes all data on Microsoft Azure in European data centers, is GDPR compliant, EU-AI-Act-ready, and meets WCAG 2.1 accessibility standards. For European companies with data protection audits or works council approval processes, this is a crucial difference.
What does AI product consulting cost for medium-sized enterprises?
branchly offers the Advisor as part of the overall platform starting at €499/month in the Starter plan with 1,000 sessions per month. The Pro plan at €1,799/month covers 5,000 sessions. Enterprise plans with unlimited sessions and dedicated account management options can be individually configured. Additionally, there is a one-time setup service. Compared to the costs of a manual consulting or configurator project, the ROI is quickly positive for most medium-sized businesses.
Can AI product consulting also advise in English or other languages?
Yes. branchly supports 101 languages natively — the Advisor conducts the conversation in the language of the visitor, even if the product catalog and website are exclusively in German. This is particularly relevant for companies with an international audience that do not want or cannot maintain separate language versions. The AI not only translates text but also understands and responds in the context of the respective language.
How do I measure whether AI product consulting is effective?
The key metrics are: Interaction rate (how many visitors start a consulting session), recommendation conversion rate (how many users purchase or book after an advisor session), average cart value for advisor users compared to the overall average, and the quality of the collected intent data. branchly provides these metrics directly in the dashboard, so you can compare advisor sessions with other website behavior and directly track the contribution to conversion.
