RAW - the industry leader in providing full services for audio-visual shootings location - wanted to boost their sales by going digital. Their usual process involved numerous back-and-forths, emailing locations and pricings, to coordinate the customer's shooting vision with RAW's locations. Our platform solution automated and sped up the process from inquiry to sales.
Extra functionalities were built within the platform. Not obviously seen in the mechanics of how it functioned but felt as a smoother user experience when using the platform:
We implemented a gradient semantic ranking algorithm for search results. When a user searched for the desired location, the results appeared ranked from best to worst match. Giving users what they look for increased satisfaction with the service.
With our preference prediction algorithm, when a user inspected a location, the algorithm predicted similar locations and preloaded them in the background. So when the user inspected similar locations, those loaded faster. Browsing felt natural and no loading was noticed.
New images loaded onto the screen only when the user scrolled down. In this way, we downloaded only those thumbnails, which were necessary. Decreased server load sped up image delivery time. From the user perspective, new images were present as fast as he scrolled, without noticing, they were always downloaded anew.
By developing the download-as-you-scroll and preload-similar-preferences we diminished the server load. Fewer demands for image downloads at the same time meant lower costs and faster speeds. So the functionalities improved both UX for the user but also lowered costs for RAW.