Challenge
The client struggled with generic travel recommendations that did not match user interests, leading to low engagement. Manual itinerary planning caused delays and inconsistencies. Their legacy system lacked API integrations for flights, hotels, and mapping services, limiting real-time functionality. User data was scattered across multiple sources, making it difficult to analyze behavior or predict travel preferences effectively.
The client struggled with generic travel recommendations that did not match user interests, leading to low engagement. Manual itinerary planning caused delays and inconsistencies. Their legacy system lacked API integrations for flights, hotels, and mapping services, limiting real-time functionality. User data was scattered across multiple sources, making it difficult to analyze behavior or predict travel preferences effectively.
Solution
SPEC INDIA developed an AI-powered recommendation engine that analyzed user behavior, preferences, and location to suggest tailored destinations and activities. We built an automated itinerary generator that produced optimized day-wise travel plans. The team also integrated multiple APIs that covering flights, hotels, weather, navigation, and more to deliver real-time, reliable travel information. This created a seamless, intelligent, and highly personalized travel planning experience.
SPEC INDIA developed an AI-powered recommendation engine that analyzed user behavior, preferences, and location to suggest tailored destinations and activities. We built an automated itinerary generator that produced optimized day-wise travel plans. The team also integrated multiple APIs that covering flights, hotels, weather, navigation, and more to deliver real-time, reliable travel information. This created a seamless, intelligent, and highly personalized travel planning experience.
Results
The application saw a significant boost in engagement, with personalized recommendations driving a 40% increase in user activity. AI automation reduced itinerary planning time by 60%, improving user convenience and satisfaction. Conversion rates rose by 35% as travelers booked more confidently with tailored suggestions. The client successfully strengthened its brand positioning as a tech-driven travel innovator across Europe.
The application saw a significant boost in engagement, with personalized recommendations driving a 40% increase in user activity. AI automation reduced itinerary planning time by 60%, improving user convenience and satisfaction. Conversion rates rose by 35% as travelers booked more confidently with tailored suggestions. The client successfully strengthened its brand positioning as a tech-driven travel innovator across Europe.
