Explore how a premium spa services brand revolutionized airport retail operations using predictive analytics, fueling sales and revenue.
Learn how Icreon helped XpresSpa transform its business by developing a customer-centric digital platform that streamlined operations, enhanced in-store experiences, and improved customer engagement across locations.
Key Takeaways
Direction
Icreon partnered with ShoeMall to eliminate Oracle ATG’s high licensing costs while enhancing the buyer’s experiences and streamlining content management.
Speed
Migrated from Oracle ATG to Commercetools while Integrating Algolia’s advanced search algorithms and improvised content management with Content Stack integration.
Velocity
Improved merchandising, enhanced website performance, and efficient content management- delivering faster load times, seamless navigation, and higher conversions.
The Challenge
Navigating the unpredictable dynamics of airport foot traffic poses significant challenges. Factors such as sudden flight cancellations, unexpected delays, and changing weather patterns can have a profound impact on the potential customer flow. XpresSpa faced these challenges daily, making it difficult to anticipate sales and adjust services promptly.
In short, although every airport vendor aims to forecast daily sales accurately, XpresSpa encountered difficulties in gaining a clear understanding of their sales figures and optimizing their business processes efficiently.
Our Solution
Icreon revolutionized XpresSpa's operations with a predictive analytics platform that integrates flight, weather, and external data through APIs. Using tools like Power BI and Python, Icreon developed location-specific algorithms to forecast sales, delivering tailored insights. This innovative solution introduced seamless automation, empowering XpresSpa to optimize operations and adapt dynamically to varying conditions.
Direction
Icreon began with strategic consulting, identifying key data variables—such as flight numbers, weather conditions, delays, and seat availability—that directly impacted customer flow. The team collaborated with XpresSpa to integrate external data sources, ensuring comprehensive insights.
Speed
The development process involved designing location-specific predictive models to automate forecasting. APIs were integrated to gather real-time external data, and the algorithm was fine-tuned using advanced analytics, ensuring each XpresSpa location received accurate, actionable insights.
Velocity
The result was a unified platform enabling XpresSpa to predict sales specific to each location, considering a range of variables. Predictive insights streamlined staffing, inventory, and service adjustments, addressing sales unpredictability and enhancing customer satisfaction.
The Results
Increased
Accurate
sales forecasting