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Smarter Content Creation for the Travel Industry with Agent Eva

Smarter Content Creation for the Travel Industry with Agent Eva

Smarter Content Creation for the Travel Industry with Agent Eva

Smarter Content Creation for the Travel Industry with Agent Eva

Case Study for de Jong Intra Vakanties - Agent Eva, an AI-powered solution that streamlines and enhances travel offer publications.

Case Study for de Jong Intra Vakanties - Agent Eva, an AI-powered solution that streamlines and enhances travel offer publications.

Case Study for de Jong Intra Vakanties - Agent Eva, an AI-powered solution that streamlines and enhances travel offer publications.

Case Study for de Jong Intra Vakanties - Agent Eva, an AI-powered solution that streamlines and enhances travel offer publications.

Thierry de Vries

Thierry de Vries

Thierry de Vries

Nov 26, 2024

Nov 26, 2024

Nov 26, 2024

Nov 26, 2024

Challenge & Goal

Challenge & Goal

Challenge & Goal

Challenge & Goal

de Jong Intra Vakanties faced a major challenge: manually enriching travel offers and product detail pages (PDPs) was an extremely time-consuming and labor-intensive process. With thousands of destinations and a constantly evolving portfolio, inconsistencies in information and delays in publication were a persistent issue.

  • Repetitive manual work → Employees spent hours each week collecting, verifying, and writing travel content, reducing time for strategic activities.

  • Inconsistent content quality → Different employees created content with varying writing styles and tones, leading to a lack of brand consistency.

  • Slow turnaround time → The manual workflow delayed the publication of new offers, impacting revenue and competitiveness.

Solution: Agent Eva – Virtual Product Manager

Solution: Agent Eva – Virtual Product Manager

Solution: Agent Eva – Virtual Product Manager

Solution: Agent Eva – Virtual Product Manager

To optimize this process, de Jong Intra Vakanties introduced Agent Eva, an AI-powered solution designed to accelerate and streamline the creation and publication of travel offers.


The first version of Agent Eva includes three core functionalities:

  • Automated travel information generation → Agent Eva instantly produces well-structured and engaging travel content based on provided data.

  • Enhancing and rewriting existing content → The AI refines descriptions to match the brand’s tone of voice and best practices.

  • Bulk processing of travel offers → Instead of manually inputting each offer, Agent Eva processes multiple listings simultaneously.


By adhering to structured guidelines, including:

  • Branding & tone of voice

  • Standardized product description formats

  • Best practices from previous successful content


Agent Eva ensures high-quality, consistent, and engaging content—without requiring manual intervention for each entry.

Results: 40% time savings and a more efficient content workflow

Results: 40% time savings and a more efficient content workflow

Results: 40% time savings and a more efficient content workflow

Results: 40% time savings and a more efficient content workflow

  • Increased efficiency → Employees save 40% of their time, allowing them to focus on strategy and innovation instead of repetitive content creation.

  • Faster and more consistent publishing → Offers are published more quickly with a uniform writing style that aligns with the brand identity.

  • New AI expansions → The success of Agent Eva has already paved the way for the development of a new AI Agent that creates customized travel itineraries, generates personalized travel proposals, and prepares content for the CMS and email marketing.

"During our workshop, we quickly outlined the first contours of Agent Eva, and within three weeks, we had a fully operational Virtual Product Manager. Now, onto the next AI use case

"During our workshop, we quickly outlined the first contours of Agent Eva, and within three weeks, we had a fully operational Virtual Product Manager. Now, onto the next AI use case

"During our workshop, we quickly outlined the first contours of Agent Eva, and within three weeks, we had a fully operational Virtual Product Manager. Now, onto the next AI use case

"During our workshop, we quickly outlined the first contours of Agent Eva, and within three weeks, we had a fully operational Virtual Product Manager. Now, onto the next AI use case

Stephan Kroos

Stephan Kroos

,

,

Team Leader City Trips, de Jong Intra Vakanties

Team Leader City Trips, de Jong Intra Vakanties

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