Marketing Optimization of Economy Hotel Online Group-Buying
In online group-buying market of economy hotel, many economy hotels to optimize their own marketing channels through online group buying. This paper presents the marketing channel optimization method of economy Hotel (MCOMEH). This method guarantees the multi-channel marketing optimization of economy hotel online group-buying under the constraint of local operating priority queuing. The experimental results show that MCOMEH based on the priority queuing system model can not only ensure that the customer’s work is not affected, but also that the coordination between various economy hotels can be improved on such basis. The target value of the obtained solution sets of marketing channel optimization not only is superior to the existing synergy evolution method generating intersection sets, but also has a good dispersity of solutions. Marketing Optimization of Economy Hotel Online Group-Buying
we are witnessing a new shopping trend, showrooming [1], which refers to the situation when a shopper
visits a store to check out a product, but then purchases the product online, from home. This is the case since many people still prefer seeing and touching the merchandise they buy, while many items are available at lower prices through online vendors. As such, local stores essentially become showrooms
for online shoppers. In the past few years, as online shopping exploded, and smartphones became the norm, the showrooming phenomenon seemed to highly threaten store- based retailers. But now, retailers have discovered reverse showrooming, or webrooming, which is when consumers go online to research products, and then head to a bricks-and- mortar store to complete their purchase. Reverse showrooming is nothing new. Since the early days of online shopping, more people have researched their shopping online than bought there. What has changed is that small and medium retailers have begun to identify the reverse showrooming trend and the opportunity it offers to them and are now working to actively recapture those sales.
At the same time, social media has also become a major referral source for bricks-and-mortar chains, not just e-commerce sites. But only recently have traditional retailers begun to capitalize on reverse showrooming [7]. Offline retailers have realized they can utilize offers, as long as they can integrate offline and digital experiences via the online services provided by the product manufacturers to beat e-commerce competitors on convenience. The retailers getting more benefit from this trend are the big ones. Additionally, big stores can offer an online and an optimized offline buying experience, as well as offer in-store pick-up of online orders, in-store Wi-Fi and an online sales infrastructure.
They can be present at big commercial areas, malls, and they can rent big buildings for optimizing the purchasing experience. Small retailers are in risk of losing a big opportunity with the rising of in-store sales triggered by the rising of the webroomer trend [2]. Small and medium-sized retailers must find their way to become the store were the webroomers finally go to finalize their purchase process. They
have the advantage of being able to provide their customers with convenient and local access to stores
We base our work on the concept of OrganiCity [4] and its Experimentation as a Service framework [5]. OrganiCity, based on the outcomes of the SmartSantander project [9], helps cities grow organically with the involvement of the different stakeholders (citizens, communities, scientists, developers, and
others), and not be driven solely by engineering visions. It also allows developers, and researchers to create their own applications quickly and easily using the provided datasets and tools to experiment with new ideas and innovative solutions. The main problems researchers face when developing an
application in the context of a smart city, is locating the datasets required to gather the information of the cities, and consuming such data in a uniform and well-established format. OrganiCity offers in that line a cross-city interface for accessing city data, as attributes of assets that represent points of interest inside the city. Assets are fully searchable and indexed resulting in a hassle-free setup of the application’s dataset. Also, based on to the common format used in each site supported by OrganiCity, developing an application that can be deployed in multiple locations is guaranteed
Webrooming is the practice of researching an item online before visiting a local store to complete the purchase. The novel smart city model is meant to serve as an incubator for the development of a diverse set of highly innovative services and applications. Setting up an experimental facility inside a city
means providing real-world conditions along with the necessary infrastructure for a Smart City that will rely on IoT technologies. The scale and heterogeneity of such an environment make this deployment extremely valuable for scientific and technical research. This city-wide context is intended to attract the necessary critical mass of experimental businesses and end-users that are required for testing on a large
scale, as well as combine it with other Future Internet technologies for market adoption