miva, occupation prediction – combining web interface with data from the physical world
They wanted a service-focused new web that wouldn't waste labor resources.
Limepark helped them build a new service web with AI integrated to show the most relevant e-services, the most relevant questions from the FAQ, and the innovative occupational prediction engine, which helps the visitor plan their trip to their recycling center.
Communications manager Lars Westberg likens the old website to an academic essay, with a summary, background, explanation, and hopefully a concrete guide at the end.
On the new web, the relationship is the opposite - we directly refer to the help and service available in the matter.
Read the extended version in Swedish on Limeparks website.
The new website was also built to follow the new Accessibility Directive.
Miva uses rek.ai's javascript to train their deep learning model, giving the editor the possibility to show real-time updated suggestions, sorted by relevance, instead of irrelevant static links that are chosen manually from time to time.
The new service web has AI integrated to show the most relevant e-services, the most relevant questions from the FAQ, and also a new feature;
Occupation prediction
Miva's website gives visitors an indication of how much congestion it is estimated to be at the recycling center. This is a solution that Limepark has developed for Miva together with rek.ai and is based on artificial intelligence. It's fully automated and delivers valuable insights for the visitor.
The deep learning model rek.ai also needed to be adapted to process occupancy. The result was a new type of AI model that enables projects that connect experiences from reality with better user experiences online.
Miva's newly launched website ranks 9th out of 443 tested public companies according to Webperf. This means that Miva's website proudly made it to the top tier for web-quality among all tested public companies.