Etilika’s AI Wine Sommelier
Etilika’s AI Sommelier not solely remodeled the person expertise but in addition delivered vital enterprise outcomes. Clicks surged by 22.13% in only one month (April-Might 2024), with sustained progress persevering with as clicks rose an extra 7.23% by way of August. Optimized information additionally boosted visibility on Google Service provider Listings, unlocking new visitors streams by way of the Product Data Panel and Google Purchasing.
Introduction
Etilika is an internet platform providing a wide array of Italian wines, champagne, and spirits. Specializing in high quality labels, it supplies a handy method for wine fans throughout the nation to discover and buy quite a lot of premium drinks from Italy’s wealthy wine-making custom.
We began an revolutionary journey collectively to reinforce their person expertise by creating an inside search instrument that permits customers to seek for wines by way of meals pairings.
This initiative led to the event of the AI Sommelier, designed to reinforce the client expertise by utilizing a sophisticated system that organizes and connects information meaningfully. It builds on industry-specific data to higher perceive wines and spirits. This setup permits the AI Sommelier to offer customized suggestions and professional recommendation, making it simpler for patrons to search out what they’re in search of and uncover new merchandise, all based mostly on deep insights into the sector.
This case research explores the outcomes obtained by Etilika because of proprietary information and data graph: a brand new method of storing, organizing, and connecting your retailer merchandise, which supplies them extra visibility and begins promoting totally free on Google Purchasing.
Outcomes
The implementation of the Product Data Graph and the optimization of Etilika’s information infrastructure introduced spectacular outcomes, driving person engagement and website efficiency to new heights. Right here’s what was achieved:
Increase in Clicks: Clicks elevated by a formidable 22.13% from April 11 to Might 6, 2024, in comparison with the earlier interval.
Sustained Development: The momentum continued, with an extra 7.23% enhance in clicks from April to August 2024, highlighting long-term impression.
Google Service provider Success: Optimized information readability has begun driving visitors from Google Service provider Listings, opening new avenues by way of the Product Data Panel and Google Purchasing.
Merchandise Efficiency
Comparability of the Final 3 Months of 2024 vs. the Final 3 Months of 2023:
40% enchancment in common rating
This case proves that leveraging AI and information optimization can result in vital progress in visitors, higher search rankings, and new enterprise alternatives—excellent for e-commerce platforms like Etilika seeking to improve buyer engagement and gross sales.
Targets
Etilika selected WordLift to spice up visitors to product pages by way of natural search. The brand new pages are created utilizing Agent WordLift. The editorial crew of Etilika now has an AI companion to help their search engine marketing methods for clustering merchandise and naturally responding to ever-changing search queries.
Etilika acknowledged the necessity to present a extra customized and clever wine choice expertise for its clients. Conventional buying assistants lacked the depth to make nuanced suggestions, particularly for meals pairings. To handle this, Etilika aimed to construct an AI-driven resolution that might faucet into its intensive wine assortment, providing extra refined and correct options.
Technique
The success of the AI Sommelier depends on the strategic use of proprietary information and the event of a data graph, made attainable by way of WordLift’s experience.
Proprietary Information: Etilika’s intensive wine ontology serves as the muse for the AI Sommelier. This proprietary information contains detailed details about varied wines, their traits, and appropriate meals pairings. By leveraging this information, Etilika can provide distinctive and extremely related suggestions that generic fashions can’t match.
Data Graph: a data graph helps to arrange and construction this information, making looking, discovering, and extracting insights simpler. For Etilika, the data graph connects wines, meals sorts, and pairing guidelines, enabling the AI Sommelier to make knowledgeable and correct suggestions. This interconnected information mannequin permits the AI to know complicated queries and supply contextually acceptable responses.
With this integration, Etilika has been capable of create many new class pages for search engine marketing functions in only a few days. These pages are actually attracting visitors from search queries that have been beforehand missed, resembling pairing particular wines with meals.
Constructing a Sector-Particular Data Base
Making a sector-specific data base, or ontology, is crucial for coaching an AI mannequin that may ship clever and specialised responses.
Etilika’s ontology contains:
Wine Traits: detailed attributes of wines, resembling grape selection, area, taste profile, and growing old potential.
Meals Sorts: varied meals classes, together with meats, seafood, greens, and desserts, together with their particular traits.
Pairing Guidelines: pointers and rules for pairing wines with completely different meals, contemplating elements like taste steadiness, acidity, and texture.
Key Options of AI Sommelier
Superior Wine Pairing: the AI Sommelier makes use of a data graph to narrate completely different information factors, resembling wine traits, meals sorts, and pairing guidelines, to supply exact wine suggestions.
Sector-Particular Ontology: by constructing a specialised data base, or ontology, Etilika ensured that the AI Sommelier may perceive and reply to queries with a degree of experience that surpasses generic fashions.
Enhanced Person Expertise: the AI Sommelier’s capacity to offer clever and context-aware options considerably improves the person expertise, making wine choice extra pleasing and knowledgeable
We’re offering entry to the Etilika catalog for each Microsoft Copilot customers and ChatGPT Subscribers.
Conclusion
Etilika’s AI Sommelier case research is an ensign to the ability of proprietary information, data graphs, and sector-specific ontologies in creating clever and specialised AI options. By constructing a particular information mannequin and a complete wine anthology, we have now developed an agent that gives superior functionalities and responds to complicated queries with experience. The AI Sommelier not solely enhances the person expertise but in addition units a brand new customary for clever wine choice within the e-commerce {industry}.
An revolutionary method that demonstrates the significance of investing in proprietary information and constructing specialised data bases to coach AI fashions able to delivering superior efficiency and worth to customers. The numerous enhancements in person engagement and website efficiency underscore the effectiveness of this technique, paving the best way for future developments in AI-driven e-commerce options.
Need to see how Wordlift can remodel your enterprise too? Contact us in the present day for a customized session.
