https://store-images.s-microsoft.com/image/apps.60341.2db006c7-81a9-4815-b86b-b1cdef2ce553.ba8207d5-b801-42fb-bf14-97d084e1709d.ffbeea2a-0f5c-45cb-b99b-b7752f47efe0
SerendibAI
Zone TwentyFourSeven (Pvt) Ltd
SerendibAI
Zone TwentyFourSeven (Pvt) Ltd
SerendibAI
Zone TwentyFourSeven (Pvt) Ltd
An AI powered video analytics platform which generates insights from available video streams.
By integrating cutting edge Machine Learning ( ML ) with data science, the SerendibAI platform helps to convert real-world events into actionable insights. Through this platform, organizations are able to make data-driven decisions to optimize store environments to achieve business goals.
SerendibAI enables physical store insight generation at a level of detail that is equivalent to a web analytics platform generating analytics to an e-commerce portal. This allows organizations to optimize physical stores using data rather than intuition and measure success levels of initiatives in a manner that was not possible previously. The level of granular insights on customer segments and customer behavior is unparalleled.
- Traffic Counting
- Real-time traffic detection of people walking into a store or building.
- Demographic Detection
- Specialized algorithms are able to detect demographic details and segment people into customer segments such as Millennials Gen X, Gen Z, etc.
- Fixture Dwell Time
- Accurately measure customer time spent browsing at fixtures to give organization data on fixture engagement levels and measure the success of products on display.
- Fixture Interaction
- Identifies when customers stop and interact with products on fixtures.
- Impression Count
- Can accurately track gaze and identify impressions on a particular fixture which can be a retail fixture, display case or any general product display platform.
- Line Monitoring
- Tracking in-store lines and alerting staff members of particular changes to lines.
- Continuously monitors all in-store lines and provides real-time alerts based on set variables such as line length etc.
- Using data to predict wait time in order to provide useful information to the customers in real-time.
- Line Prediction
- The platform is able to predict how many checkout registers should be open at a given time frame to optimally cater to the checkout traffic.
- The system analyzes Traffic counts, Occupancy levels, and Customer dwell times to forecast and provide guidance on the expected traffic in checkout areas.
- The system can be used to effectively manage register operations to minimize line creation events and reduce line wait times.
https://store-images.s-microsoft.com/image/apps.28721.2db006c7-81a9-4815-b86b-b1cdef2ce553.a6293842-c778-4375-89cf-91f7178ec7b3.193def26-3bf1-483d-a237-d67ca7160657
https://store-images.s-microsoft.com/image/apps.28721.2db006c7-81a9-4815-b86b-b1cdef2ce553.a6293842-c778-4375-89cf-91f7178ec7b3.193def26-3bf1-483d-a237-d67ca7160657
https://store-images.s-microsoft.com/image/apps.24293.2db006c7-81a9-4815-b86b-b1cdef2ce553.a6293842-c778-4375-89cf-91f7178ec7b3.fd9ab9e6-14b8-41fd-9dc2-26f5d913a683
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https://store-images.s-microsoft.com/image/apps.56681.2db006c7-81a9-4815-b86b-b1cdef2ce553.ba8207d5-b801-42fb-bf14-97d084e1709d.77c55ad2-8966-4427-8c51-9625dfdf932e
https://store-images.s-microsoft.com/image/apps.49514.2db006c7-81a9-4815-b86b-b1cdef2ce553.ba8207d5-b801-42fb-bf14-97d084e1709d.bcd19e97-88a6-48d6-bb43-dec02867b0c1
https://store-images.s-microsoft.com/image/apps.18645.2db006c7-81a9-4815-b86b-b1cdef2ce553.ba8207d5-b801-42fb-bf14-97d084e1709d.0322fe9a-4b62-40ef-acc1-0deb329d575f
https://store-images.s-microsoft.com/image/apps.32698.2db006c7-81a9-4815-b86b-b1cdef2ce553.ba8207d5-b801-42fb-bf14-97d084e1709d.e4b917d5-0879-488c-80ff-1deff2358ce1