MTS GeoEffect adds AI analytics and interest-based segmentation
МТС
MTS has added new features to its GeoEffect platform, including an AI decoder that summarizes analytics and a filter for segmenting audiences by interests. The AI decoder automatically generates summaries with peak days, weather impact, and visitor profiles, while the interest filter allows users to explore statistics for specific categories such as sports, cinema, restaurants, or shopping.
MTS announced an update to the 'Object Attendance' service within its GeoEffect platform, which helps businesses assess location traffic and project profitability using anonymized geodata. The update introduces three new features, the key one being an AI decoder for summarizing analytics, developed by MTS Web Services (MWS). The AI decoder automatically analyzes location visit data and provides summaries including peak attendance days, the influence of weather or day of the week, and a visitor profile. In the future, the decoder will be integrated into other services of the GeoEffect platform. Additionally, the new functionality allows tracking audience interests without additional settings and segmenting audiences by these interests, such as 'sports', 'cinema', 'restaurants', or 'shopping'. According to Alexey Rogovtsev, head of the Geoservices product center at MTS, the filter enables segmenting audiences not by age or gender but by real interests, and the AI agent describes what happens at the location, explains peaks and drops, and gives a visitor profile, saving hours of manual work and making analytics accessible to any manager.
Source: CNews —
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