Persistent inflation and economic uncertainty have given rise to a new type of consumer in Europe: the expert buyer. According to McKinsey & Company’s latest analysis of consumer sentiment, 70% of Europeans are now adopting “trading down” strategies. This systematic search for value and private-label brands is radically transforming the shopping experience.
For e-commerce decision-makers, the challenge is significant: consumers are now using generative AI and third-party assistants to easily compare your offerings before visiting your site.
To meet this fluctuating demand, your e-commerce infrastructure must adapt to new data consumption models, whether they involve open protocols such as the Universal Commerce Protocol (UCP).
1. Cognitive Escape: Aligning with the Standards of ChatGPT, Gemini, and the SGE
The search landscape has changed. Tools like ChatGPT and Gemini have trained customers to expect personalized advice and comprehensive solutions rather than simple product lists. At the same time, Google’s SGE (Search Generative Experience) now synthesizes information and reviews directly within the search interface in over 200 countries worldwide (France is the exception…), capturing the user’s attention before they even reach your site.
If your e-commerce search engine is limited to simple keyword matching, you’re creating a fatal disruption in the customer experience. Customers, accustomed to the conversational fluidity of modern AI, experience “decision fatigue” when faced with an overly rigid internal search engine. They then immediately turn to external tools to get the advice and insights you don’t yet offer on your site. By deploying conversational search, Sensefuel lets you bring this intelligence directly into your search bar, thereby securing the sales funnel by becoming your own AI sales assistant.
2. Regain control through Search & Discovery endpoints
Beyond the user experience, the challenge lies in the infrastructure. To interact with your catalog, AI systems need to “consume” your data in a structured way. The Universal Commerce Protocol (UCP) aims to achieve full interoperability between consumer-facing AI systems and your e-commerce infrastructure.
The merchant's success then depends on their ability to expose high-performing Search & Discovery endpoints. Rather than letting an external AI “guess” your inventory or priorities through a simple (and often outdated) web crawl, exposing your own endpoints allows you to stay in control. You finally have control over which products are pushed to buying agents, based on their desirability, your inventory constraints, or your margin goals.*
Thanks to our proprietary AI engine, Sensefuel is paving the way for this interoperability. By providing intelligent API access points, you no longer have to rely on external search engines—you control them. You make your catalog compatible with future standards, ensuring that every AI agent receives a response that is not only technically accurate but also commercially optimized for your brand.
3. Turning “Trading Down” into a Growth Strategy
The price-comparison behavior identified by McKinsey is not inevitable, but rather an opportunity for precision merchandising. A traditional search engine often overlooks this “value” intent, inadvertently prompting the customer to go elsewhere to compare prices.
Using deep learning, Sensefuel’s engine identifies price-sensitive shoppers in real time. It dynamically reorders search results to highlight high-margin alternatives, such as your private-label brands that precisely meet the detected demand for “low prices.” This approach protects your profitability while meeting the customer’s budget constraints.
4. Hyper-personalization: The answer to individual needs
The divide identified by McKinsey between Gen Z, who are seeking inspiration, and older adults, who are seeking clarity, demands complete agility. Personalization can no longer be asynchronous and/or segment-based. Sensefuel tailors results from the very first interactions by analyzing in-session behavior (time spent, products viewed, keywords used, etc.). This responsiveness drastically reduces churn and immediately improves Lifetime Value (LTV) by presenting the right product, at the right price, tailored to each individual’s specific desires.