The City-Shopper Application operate in context to multiple levels of simulant data processing; speech recognition and translation tools, pre-answered FAQs and Q&As, exposure to new data, cross-selling, digital advertisement, frequency and history of purchase, personal data and local search.
The City-Shopper Assistant ability to respond fast to search questions is an imperative. The City-Shopper machine-learning platform predict shopping pattern in real-time environment. AI-algorithms analyzing users past and predicted future shopping behavior, allowing The City-Shopper to learn and add preference-based data, without being explicitly programmed to perform such operations.
You can choose to interact with The City-Shopper Application anonymous by selecting “private” mode. The City-shopper Application will then work only on a limited information and machine-learning software.