The platform, currently available in beta, introduces a new approach to ski trip planning by replacing traditional search and manual comparison with AI-driven conversations and curated travel recommendations.
The tool builds on WeSki’s existing platform, which has been used by more than 200,000 skiers worldwide. The system scans millions of possible travel combinations across more than 300 ski resorts and more than 160,000 accommodation options in real time.
Through the chat interface, users provide information about their travel plans by responding to prompts regarding travel dates, group size, skiing level, budget and preferred resort style. The system then generates tailored and bookable travel options designed to reflect the expertise of WeSki’s in-house ski specialists.
The launch coincides with the company’s tenth anniversary. According to the company, WeSki recorded sales of $1 million in a single day in January 2026 and reached a total sales figure of $100 million during the previous 12 months.
Yotam Idan, Co-Founder and Chief Executive Officer of WeSki, said: “WeSki.ai offers a glimpse into the future of intelligent ski trip planning. Say goodbye to form fields and infinite scroll. In their place, a conversational interface delivering curated recommendations reflecting an understanding of skiers and their traveling party preferences, behaviour, and intent. In this beta launch, the AI leverages persistent Memory and real-time Context to continuously refine recommendations, giving every user access to the full expertise of our platform in minutes and enabling truly personalised service at scale.”
The AI system processes user inputs using natural language and extracts key travel parameters before applying a decision framework based on insights from experienced ski travel specialists.
Based on this information, the system produces destination recommendations and a shortlist of ski resorts aligned with traveller preferences, seasonal conditions and historical performance data.
WeSki’s proprietary technology then dynamically assembles travel packages in real time, combining flights, transfers, accommodation and additional ski services.
The platform also incorporates a personalisation system that uses memory and contextual learning to refine recommendations based on user interactions and preferences over time.
WeSki’s operational model includes direct contracts with hotels, chalets, local transfer companies and ski resorts, allowing the platform to provide travel packages without intermediaries.
The company also maintains human customer support services to assist travellers with issues including flight disruptions or changing snow conditions. According to the company, more than 200,000 skiers have used the platform, generating behavioural data that contributes to improving recommendation accuracy and pricing analysis.
The AI tool is expected to continue evolving, with further supplier integrations and improvements to personalisation algorithms planned as part of the company’s transition toward AI-based conversational travel planning.
Idan added: “Our vision is simple: ski travel should feel effortless. By combining deep travel expertise with advanced AI infrastructure, we’re streamlining the planning process and building a platform that gives skiers clarity, confidence, and control. This is the future of ski trip planning, and we’re just getting started.”
