Duration: 5 months
Industry: Marketing and Advertising
The client is an innovative advertising company delivering cutting edge technology solutions for marketing and advertising in malls and supermarkets across the US.
The customer created an alerting system for sellers which was based on the developed algorithm, and it functioned to inform that a potential client is approaching the store location. Aterise was to create an algorithm that detects users’ movement around the mall and recognize typical routs and points of interest.
The core task for Aterise team was to develop a neural network algorithm that would analase the collected Big Data and transform it to hunman-readable actionable insights to increase the quality of customer service at hypermarkets and malls.
From the user application standpoint, at this stage Aterise team was required to create a fully functioning MVP relying on the provided mockup by the customer. The prototype of the system contained 3 potential user roles: the administrator, the user, and the business user. Besides the opportunity to upload the examples of AI algorithms to the website, it was necessary to implement the data verification system of the algorithm.
Aterise developed a functional frontend system with an opportunity for further backend integration based on the customer’s mockup. As a result, we delivered software that predicts people’s movements along the area with beacons placed around. The software uses data taken from the accelerometer and a user phone’s compass with the software set up on the phone.
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