An Empirical Study Of Using New Technology Like Nfc, Ai, Rfid Etc. To Be Implemented In Shopping Malls In Ajmer : To Ease Out The Customer Shopping Experience Like Queue Less And Cashless Payment Mode

Autor: Dimple, Jyoti Kushwah, Manisha Tak, Neeharika singh, Dr. Ajay Singh Jethoo, Vijay Laxmi Kalyani
Jazyk: angličtina
Rok vydání: 2017
Předmět:
DOI: 10.5281/zenodo.1039346
Popis: In today’s world due to rapid development of new shopping trend. The retailers launches new technologies for new shopping trend. In today scenario every people are busy. When we are talking about shopping from stores, shopping malls etc., the customers waiting in queue for long time for payment process. This is a problematic conditions for customers. The traditional shopping trend consuming more time of customers during shopping. To remove this problem many retailers are focussing that how to save the time of customers during shopping and payment process. For this purpose many latest and emerging technologies like Near field communications (NFC) technology, image sensing cameras, computer vision, sensor fusion and Machine learning algorithm, Artificial Intelligence etc. that has brought a new wave of techniques to the retail industry to attract and interact with customers in innovative ways. In today’s scenario the demand of smartphones are increases day by day. Many Smartphones having NFC technology. Therefore with the help of these types of NFC enabled smartphones it can change the way of shopping. Therefore in this paper firstly, the author(s) wants to make aware the customers about latest shopping updations and technology in customers shopping delight. Secondly, we knowing from customers what they feel about queue less, cashless shopping experience, for this purpose we have design a set of questionnaire. The questionnaire filled by only from those customers who are really interested in thesame. These technology will help to improve the traditional shopping. Using these technologies no checkout, no queues, no cashier require in shopping malls and stores.
Databáze: OpenAIRE