Digital Transformation in Travel: Navigating the Future

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Top 5 E-commerce Web Designing Trends in 2020

Online shopping habits are undergoing noticeable evolution constantly with a fast-paced life. Eventually, the designers also need to bring change in their design at regular intervals to make sure the online shoppers have a satisfying shopping experience.Whether you are an e-commerce website owner or a web designer, you cannot afford to lose your customers for amateurish e-commerce design. Right?The latest e-commerce web designing trends 2020 highlights the cutting-edge technologies like-Artificial intelligence and VR to provide better UICreative marketing techniques with more customization features for better UXScroll down to check out the top 5 e-commerce designing trends of 2020 that you must follow to design a head-turning, personalized e-commerce site and draw more online shoppers.1. Mobile-friendly layoutsEarlier, the designers used to create the e-commerce website designs primarily for web pages that are responsive and adaptive to mobile devices. In 2020, the idea has just flipped. A significant percentage of online shoppers find it easier and more time-saving to shop from their mobiles.Catering to this need of the customers, the web designers are now framing the layouts of the e-commerce stores first for mobile devices like iPads, tablets, and smartphones. Then they make sure the design also fits for the larger screen.Hence, this year, more mobile-friendly features happen to be incorporated in many e-commerce websites themes like-Card-like layoutsEasy navigationLong-scrolling pagesFinger-friendly icons2. Motion design for product imagesMotion design will play a pivotal role in e-commerce web designing this year. Static product images are no-longer appealing enough to grab the attention of online shoppers and trigger their greed to buy the product. Moreover, a dynamic and moving picture will help the shoppers to estimate how it will look from every dimension. The products having a different texture, patterns, cutting on different sides must be showcased in motion images.Though, we have seen the elements of motion design and videos in the last couple of years, more animation, micro-interactions, videos, cinemagraphs are taking the driver’s seat in 2020 e-commerce design trends.3. Rule of the advanced AI ChatbotsE-commerce web designing trends are now focusing more on the personalization approach to address the buyers. With the evolution of AI, chatbots have made their way to e-commerce in recent years. Chatbots are primarily generated to respond to the customer’s queries about payment, delivery, and products.But the chatbots of 2020 are more advanced to go beyond this limit by providing the shoppers with a customized shopping experience. They reflect shipping details and offer discount codes. Added to that, the round-the-clock virtual availability of this sales assistant guides the customers to land on purchasing decisions. So, those online shoppers who always feel guilty about their impulsive shopping decision will get a shopping companion even at the wee hours.4. Heterogeneous grid layoutsDo you want to stand out from most of the other e-commerce sites? Then think out of the box layouts and take your design out of the comfort zone. No doubt, that similar-sized, square, and homogenous grid layouts keep the website structured and make browsing user-friendly.But some brands, especially the fashion industries and brands particularly for the youngsters rely upon this new trend of unconventional grid design for their e-commerce sites to give an edgy feel. With this new layout, you can also highlight your best-selling products without explicitly categorizing them.5. Display of authentic imagesAre you tired of finding suitable images to design an e-commerce website? Many companies have professional photographers in their team to capture authentic, and top-notch quality images for their brand.Stock images have been back footed this year as the brands want to evoke their stories and sell their unique products. E-commerce designing trends are leaning towards Custom photography to enhance the visual aesthetics of the e-commerce sites as well as to be transparent to their customers with the original pictures of their products.What are the other e-commerce website designing trends you think will reign in 2020? Share your views with us.Besides, if you need bespoke website designing for your e-commerce site, feel free to Email us or talk to us at +91-98367-81929

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Five ways how Chatbots can offer better Customer Service

Chatbots are used everywhere nowadays be it in receiving orders or responding to queries. Most companies are leveraging chatbots for operation purposes to get better outcomes. Many big giants in the industry are referring to chatbots as the next big thing for data management and customer servicing.We are all aware of the buzz that chatbots have created in the business sphere. However, it is a computer program that is capable of initiating a real conversation via chat interface and has a wide range of applications for any type of business. Chatbots are equipped with AI, Machine Learning (ML) and Natural Language Processing have the knack to understand and process human language making it easier to solve human queries.Here’s how chatbots can enhance your customer’s experience:Instant customer service and supportWe are often put on hold while in the middle of a conversation with a customer service representative and this process requires patience and most importantly your customer’s valuable time. Luckily, a chatbot will help you solve this problem. Your customers will never have to wait as a chatbot will answer all your queries in a fraction of second. This allows customer service representatives to focus on more critical issues and leave a positive impact on the customer.Personal service and increased salesChatbot assists in making purchasing decisions, making recommendations based on customers’ preferences and searching for a product catalogue which proves helpful for the customer as well as increases profits for your business. For some reason, if a customer exits a site without making a purchase, the chatbot remembers the last conversation with the customer and makes recommendations accordingly.Access to a larger audienceChatbots allows businesses to access a wide range of audience as there are more than one billion active users who are using messengers or similar applications. It simply means that with just a single click, one can approach more than a billion users.Round the clock availabilityThe purpose of having a chatbot is that customers can initiate a conversation at any time as long as they are using a messenger application on which the chatbot is employed. This proves to be favourable as it can solve any basic issue by a customer during non-working hours.Chatbots can predictChatbot always recollects previously held conversations with a particular customer which benefits the company in predicting the targeted customer base while devising a strategy. The more you know your customer, the better your business will perform.Having a chatbot for your business makes it possible for you to understand your customer requirement which helps in initiating a series of questions. This also allows a business to know the preferences, likes and dislikes, etc. based on these data, an organization can plan the marketing strategy and approach to the target audience.

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How to choose the right Machine Learning Algorithm?

When considering machine learning algorithms, you will find there is no particular solution or one approach that fits all. There are numerous factors that can affect your decision to choose an ML algorithm.Some problems are very explicit and require a unique approach. For instance, if you look at a recommendation system, it’s a very common type of machine learning algorithm and solves a very exact kind of problem. While some other problems are open and need a trial and error approach such as supervised learning, classification and regression. They could be used in anomaly detection or could be incorporated to build more universal sets of predictive models.Further, some of the decisions that we make when choosing an ML algorithm have less to do with the optimization of the algorithm but more to do with business decisions. Here we compiled some of the factors that can help you narrow down the search for your machine learning algorithm.Understanding the DataThe type and kind of data play a vital role in determining which algorithm to practice. Some algorithms can work with smaller sample sets while others require tons of samples. Few algorithms work with certain types of data sets e.g.  Naïve Bayes works well with definite input but doesn’t respond to missing data.Recognize your constraints•    Check data storage capacity in order to store gigabytes of classification or gigabytes of data to the cluster.•    In real-time applications, it is obviously very important to have a swift prediction•    Data learning have to be fast in order to rapidly update your model with a different dataset.Identify the available algorithmsOnce you understand where you stand, you can identify the algorithms that are applicable and tangible to implement. Some of the elements persuading the choice of a model are:•    Whether the model meets the goal of the business•    The accuracy of the model•    How reasonable the model is•    Performance and time it can take to build a model to make the right predictions.•    Scalability of the modelLogistic RegressionLogistic regression provides a probabilistic framework to receive more training data in the future that you want to be able to quickly incorporate into your model. Logistic regression can also help you comprehend the contributing factors behind the prediction.Decision treesDecision trees can easily handle feature interactions and they’re non-parametric, so you don’t have to worry about outliers. One drawback is that they don’t support online learning, so you have to rebuild your tree when new examples come up.Support Vector MachineSupport Vector Machine is a supervised ML technique that is broadly used in pattern recognition and classification problems.Naive BayesNaive Bayes is known to outperform even highly sophisticated classification methods and used for very large data sets.Neural networksIt is used to predict the class by establishing a link between neurons. With Neural networks, extremely complex models can be trained and utilized to perform unsupervised learning tasks, such as feature extraction from raw images or speech with much less human intervention.It is difficult to shortlist at first which algorithm will work best. Being able to combine and balance to solve a machine-driven problem is crucial and those who can do this add the most value. So consider all the points above to develop the right solution and at the end assess the performance of the algorithms to select the best one.