Over the past couple of years, smartphone application emerged as the game changer for marketers around the world. The introduction of mobile marketing through applications is real game changer, with smartphones quickly becoming the way to reach users to g
The Game Changer - Smartphone Shopping Applications: R. Deepika, V. Karpagam
A U T U N N O HANDMADE SHOPPER BAG This bag is already packed and ready to be shipped! Handmade, unique piece, only new fabrics! Sturdy cotton shopper bag made entirely by hand with care and passion. Landscape pattern on the front, and the geometric design on the back makes it very special and gives a lively touch to every outfit! Removable leather handles connected with wooden buttons, snap-button closure. Internally lined with cotton fabric and has a convenient dual chest pockets applied to internal. Possibility to expand the bag simply unbuttoning two snaps. The bag is very spacious and useful for different occasions. Foldable slight. An idea as a gift! Can be used on the shoulder or shoulder bag. MEASUREMENTS Width 16 (40 cm) Height 12 (31 cm) Depth 5 (13 cm) Handle length 20 (50 cm) MORE PHOTOS Pinterest httpit.pinterest.comtesuitalia EASY CARE Hand washable in cold weather, unbutton the handles CUSTOMIZE Customizable bag. To order can be made in different colors! Happy shopping with this shopping bag ツ Tania © Tesù Italy
Award-winning creative innovation studio, Holition, has published their latest research on in-store retail user experience surrounding facial recognition and other technology-based points of sales. Research, conducted in collaboration with University College London Interaction Centre, aims to address crucial pain points in consumer experience that involve a new generation of digital technologies. UX Series Volume I entails pioneer studies surrounding customers interactions with Holitions own FACE application, using facial recognition software to aid consumers journeys in-store. FACE specialises in makeup applications, using a plethora of technologies to analyse the consumers, skin tone, shade, skin type, facial features, and more in an effort to ease logistical issues of shopping in-store for and trying on makeup products. The findings underline the apps potential to support consumers whilst shopping and to drive purchase intentions.
Seminar paper from the year 2016 in the subject Business economics - Business Management, Corporate Governance, grade: 1,3, University of Applied Sciences Neu-Ulm , language: English, abstract: The following research paper states out the analysis of the potential of a big data based shopping application for a sales manager of a store department in Germany. Based on a theoretical-conceptual analysis the paper gives a theoretical background regarding the necessary customer data in sales, big data, mobile shopping applications and the store departments. Considering the importance of big data in commerce and the rising amount of data generated by mobile applications, the paper at hand presents which data can be tracked, which analysis can be conducted with the data and what are potential activities for a sales manager to achieve mentioned aims in the different marketing policies and the overarching aim to increase profit. The findings of the analysis demonstrate that the implementation of a mobile shopping app offers many activities to achieve or support sales and marketing goals but the complex situation of store departments also needs to be taken into account.
Personalization is ubiquitous from search engines to online-shopping websites helping us find content more efficiently and this book focuses on the key developments that are shaping our daily online experiences. With advances in the detection of end users emotions, personality, sentiment and social signals, researchers and practitioners now have the tools to build a new generation of personalized systems that will really understand the users state and deliver the right content. With leading experts from a vast array of domains from user modeling, mobile sensing and information retrieval to artificial intelligence, human-computer interaction (HCI) social computing and psychology, a broad spectrum of topics are covered. From discussing psychological theoretical models and exploring state-of-the-art methods for acquiring emotions and personality in an unobtrusive way, as well as describing how these concepts can be used to improve various aspects of the personalization process and chapters that discuss evaluation and privacy issues. Emotions and Personality in Personalized Systems will help aid researchers and practitioners develop and evaluate user-centric personalization systems that take into account the factors that have a tremendous impact on our decision-making - emotions and personality.
The book will provide: 1) In depth explanation of rough set theory along with examples of the concepts. 2) Detailed discussion on idea of feature selection. 3) Details of various representative and state of the art feature selection techniques along with algorithmic explanations. 4) Critical review of state of the art rough set based feature selection methods covering strength and weaknesses of each. 5) In depth investigation of various application areas using rough set based feature selection. 6) Complete Library of Rough Set APIs along with complexity analysis and detailed manual of using APIs 7) Program files of various representative Feature Selection algorithms along with explanation of each. The book will be a complete and self-sufficient source both for primary and secondary audience. Starting from basic concepts to state-of-the art implementation, it will be a constant source of help both for practitioners and researchers. Book will provide in-depth explanation of concepts supplemented with working examples to help in practical implementation. As far as practical implementation is concerned, the researcher/practitioner can fully concentrate on his/her own work without any concern towards implementation of basic RST functionality. Providing complexity analysis along with full working programs will further simplify analysis and comparison of algorithms. Dr Summair Raza has PhD specialization in Software Engineering from National University of Science and Technology (NUST), Pakistan. He completed his MS from International Islamic University, Pakistan in 2009. He is also associated with Virtual University of Pakistan as Assistant Professor. He has published various papers in international level journals and conferences. His research interests include Feature Selection, Rough Set Theory, Trend Analysis, Software Architecture, Software Design and Non-Functional Requirements. Dr Usman Qamar has over 15 years of experience in data engineering both in academia and industry. He has Masters in Computer Systems Design from University of Manchester Institute of Science and Technology (UMIST), UK. His MPhil and PhD in Computer Science are from University of Manchester. Dr Qamars research expertise are in Data and Text Mining, Expert Systems, Knowledge Discovery and Feature Selection. He has published extensively in these subject areas. His Post PhD work at University of Manchester, involved various data engineering projects which included hybrid mechanisms for statistical disclosure and customer profile analysis for shopping with the University of Ghent, Belgium. He is currently an Assistant Professor at Department of Computer Engineering, National University of Sciences and Technology (NUST), Pakistan and also heads the Knowledge and Data Engineering Research Centre (KDRC) at NUST.
Bachelor Thesis from the year 2013 in the subject Business economics - Marketing, Corporate Communication, CRM, Market Research, Social Media, grade: 2,3, International Business School Nürnberg, course: International Business & Management - Potential of Mobile Applications in CRM, language: English, abstract: A practice-oriented approach to the implementation of mobile devices and mobile CRM strategies into the current service-infrastructure of companies dealing with high complexity in CRM. Mobile is everywhere and it´s constantly growing. News are preferably read on the phone, shopping is done via iPad and the travel business has become a highly dynamic patchwork of mobile and online services. The customer has a choice - make it easy to be chosen! [...] Data is ubiquitous and cheap, analytical ability is scarce... The sexiest job in the next ten years will be statistician. (Quote: Google´s Chief Economist, Hal Varian) [...] it is essential for companies to act, not to react, predicting, not observing market developments, in order to ensure future success. A company needs to manage customer relations instead of products.
Internet banking has played a vital role in the e-payment as it provides an online transaction platform to support many e-commerce applications such as online shopping, online auction, and Internet stock trading. In contrast to online purchases, the adopt
From ramen to donuts to pizza to sushi, the way we consume food today is a branding intensive exercise. CrEATivity examines how forty-seven designers and firms tackle design challenges for diverse culinary applications. Restaurants from around the world demand great design not only for carry-out packaging, menu design and other print collateral, but also for their interior design and wayfinding. Labels for packaged food, shopping bags, and digital apps must all synch up in their design mission; making sure that we dont go hungry. If you seek inspiration, youll find that CrEATivity has collected some of the best examples to satisfy your hunger for tasty design solutions.