Problem:
BigCommerce merchants previously relied on generic recommendation engines that failed to align with individual shopper preferences, leading to poor engagement and lower conversions.
Solution:
Metaviz AI integrated a behavior-based recommendation system that analyzes user browsing and purchase history. This allowed the app to serve personalized product suggestions, increasing relevance and boosting engagement by 3x.

Problem:
Merchants often experienced overstock or stockouts due to inaccurate sales forecasting, affecting profitability and customer satisfaction.
Solution:
The app introduced a predictive inventory control system powered by AI that tracks sales trends and customer behavior. This resulted in 30% more accurate inventory planning, reducing waste and improving stock availability.

Problem:
Traditional search features lacked smart filtering and voice support, creating friction in the customer journey and limiting product discoverability.
Solution:
Metaviz AI added natural language processing (NLP) and voice search capabilities to the app, enabling users to search more intuitively. This led to a 2x faster product discovery rate, improving user experience and accessibility.

Problem:
Retailers using static pricing missed out on opportunities to stay competitive and optimize margins based on market demand and competitor behavior.
Solution:
A dynamic pricing engine was implemented that updates prices in real-time based on customer demand, trends, and competitor actions. This helped retailers remain agile and contributed to higher conversion rates and profitability.

Problem:
Global travel platforms like TripAdvisor often fail to provide tailored, localized content, particularly focusing on hidden gems unique to specific regions like the UAE.
Solution:
MishwarUAE addressed this by offering curated local experiences, showcasing handpicked tours and activities across the Emirates. These experiences highlight cultural insights and hidden gems, ensuring a deeper, more authentic connection for users seeking to explore the UAE beyond traditional tourist spots.

Problem:
Users often struggle to plan personalized itineraries, as existing platforms typically offer generic suggestions that fail to integrate various activities into a cohesive travel plan.
Solution:
MishwarUAE simplified itinerary building with a customizable feature that lets users craft their own travel plans. The app not only suggests personalized experiences but also offers easy-to-use tools to build and adjust itineraries, ensuring a tailored travel experience.

Problem:
Existing platforms often lack personalized recommendations, providing users with generic options that don’t align with their preferences or interests.
Solution:
MishwarUAE leveraged AI-powered recommendations that analyze user behavior and preferences, offering suggestions for activities like desert safaris, cultural tours, and family-friendly experiences. This personalization ensures each user receives a unique and customized travel plan.

Problem:
Travel apps often require constant internet connectivity, which can be problematic for users in areas with poor signal or those traveling without mobile data.
Solution:
MishwarUAE included offline support, allowing users to download maps and itineraries for use when they don’t have access to the internet. This feature ensures that users can continue to navigate and follow their planned activities seamlessly, even in offline mode.