A quick guide to developing PWA apps for your business

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A quick guide to developing PWA apps for your business

Perhaps you're wondering what is Progressive Web App (PWA)?There is a lot of buzz around PWA app with assertions that it is the future of web app development. Since its inception in 2015, it has taken the industry by storm because of the relative ease of development and excellent user experience which is equivalent to the native apps.Progressive web applications are reliable, fast and engaging. It takes advantage of the most recent technologies to combine the best of web and mobile applications.  With such a combination, it is possible to create ultra-fast web pages that provide improved user experience, better visitor engagement, and increased conversion rates. You can also explore how mobile applications as an integral part of today’s business model are shaping modern business strategies..PWAs can be saved on desktops just like any native Android or iOS App.  These are specialized, Java-based websites that give mobile users an app-like experience. It loads fast and responds quickly all while using web technologies. PWAs bring significant benefits to businesses like higher conversion rates and customer retention.So, let’s get into the core principles for better understanding: Connectivity or offline supportPoor internet connectivity won’t be the hindrance for launching PWA apps. They solve the slow connection issues and work on all possible scenarios. Regardless of bandwidth and latency, the navigation inside the app is fairly smooth.PerformanceHigh bounce rates are something that scares all business owners. The root cause of high bounce rates is slow page loading time.  As reported by Google, if a website takes more than 3 seconds to load, 53% of users abandon it and if the time exceeds to 5 seconds, the probability of the bounce increases by 90%.  So, this is where PWAs comes in making it readily available on the user’s device and browser.Rail modelRAIL is mainly an abbreviation for describing key performance metrics. By analyzing human interactions with computer programs a user-centric model RAIL was created. This model can be applied to all user-oriented software programs like websites, desktop applications, mobile applications, and video games.EngagementThe essence of Progressive web applications is that it should have the feel and the capabilities of native apps and needs to be built on the application shell model, with minimal page refreshes. On the desktop, PWAs can be added to docks and taskbar. Also, shortcuts can be added to the desktop.SecureIn a progressive web app, all network requests are intercepted through service workers so, it is imperative that the app is hosted over HTTPS to prevent man-in-the-middle attacks.Merits of Progressive Web Apps (PWA)Progressive Web App (PWA) offers a package deal of some lucrative features:•    The size range of PWAs is way too light and can range in KBs which is much lesser than native apps.•    Cost of acquisition is very low as it is easy to convince a user to visit a website than to install an app to get a first time experience.•    Fewer efforts are required to build and release updatesPWA apps can build a strong mobile presence and drive your business in areas of poor internet connection. In the coming years, we are going to witness a massive rise in progressive app development. Mainly the areas like e-commerce, media, and restaurants can reap more profits and attract new customers with the implementation of PWA. 

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Automation in Retail Enhancing Efficiency and Customer Satisfaction

Introduction:Automation in the retail industry acts as a catalyst for digital transformation, streamlining processes, operations, and management. In this article, we explore the various facets of automation in retail, delving into its role in enhancing efficiency and customer satisfaction.Defining Automation:Automation leverages technological advancements to achieve desired outcomes with minimal human input. Innovative tools, software, and technologies are employed to automate repetitive tasks, ensuring a seamless and risk-free work environment in the retail sector.Challenges in the Retail Sector:The retail sector faces numerous challenges, including changing customer demands, supply chain risks, cost management, cybersecurity threats, and more. Automation serves as a solution by integrating software and tools to streamline operations, ensuring consistency, and effectively managing time.Understanding Automation in Retail:Automation in retail involves the application of innovative technologies to perform repetitive tasks, minimizing human intervention. It acts as the foundation for enhancing agility, efficiency, reducing costs, and improving customer experiences. Chatbots, personalized emails, and Robotic Process Automation (RPA) are prominent tools addressing evolving customer expectations.Key Statistics:The global retail automation market is estimated to be worth approximately 14.9 billion USD in 2023, projected to grow to 33 billion USD by 2030.AI tools in retail operations had a market value of 4.84 billion USD in 2021, expected to reach 31.18 billion USD by 2028 globally (statista).Impact on Efficiency and Customer Satisfaction:Retail automation surpasses manual operations by addressing challenges inherent in a competitive market. It enhances transparency, predicts demand for inventory management, and boosts efficiency and customer satisfaction. Cost reduction is a significant benefit, achieved by replacing manual labor with automated tools, eliminating stress on profit margins.Cost Management Areas Affected by Automation:Inventory management: Optimizes sales and profit.Customer service: Promotes time management and cost savings.Automated order processing: Lowers the cost of manpower integration.Streamlined Processing:Automation reduces reliance on manual labor and traditional systems, predicting retail trends and managerial operations through data analytics. It streamlines online retail functions, minimizing human errors in handling repetitive tasks, and facilitates strategies like ERP, chatbots, and automated emails.Customer Satisfaction Enhancement:Automation bridges the gap between technological demands and shifting customer interests, fostering a direct connection between manufacturers, distributors, local suppliers, and customers. It encourages eCommerce and analyzes purchasing patterns to provide personalized recommendations, nurturing customer loyalty and a fulfilling customer journey.Components of Retail Automation:Point-of-sale (POS) Solutions: Enhancing Decision-Making for Product DemandPoint-of-sale solutions play a pivotal role in retail automation by transforming the manual data updating system. These systems allow for regular data input across multiple locations in retail chains. By providing real-time data on sales and customer preferences, POS solutions empower retailers to make informed decisions about product demand. This, in turn, helps in maintaining a high level of customer satisfaction by ensuring that the right products are available when and where they are needed.Customer Relationship Management (CRM) Tools: Analyzing Market Trends for Personalized Service DevelopmentCRM tools in retail automation serve as powerful engines for analyzing market trends and customer behavior. By consolidating data from various sources such as emails, social media, and market data, CRM tools provide valuable insights into evolving customer demands. This information is crucial for the development of personalized services and experiences, fostering a deeper connection between retailers and their customers. Chatbots integrated into CRM tools further enhance customer interactions by providing timely and relevant information.Automated Inventory Management Systems: Facilitating Effective Supply Chain ManagementAutomated inventory management systems form the backbone of efficient supply chain management in the retail sector. By integrating artificial intelligence, these systems streamline the handling of customers, goods, demand forecasting, and market fluctuations. The advanced data analytics provided by automated inventory management systems enable retailers to manage their inventory effectively, minimizing the risk of overstocking or stockouts. This not only reduces operational costs but also ensures that customers can find the products they need when they need them.Video Analytics: Predicting Customer Buying Behavior to Enhance SalesVideo analytics in retail automation leverage smart technology to provide insights into customer behavior. This involves using data extracted from in-store management systems to predict buying patterns and preferences. By understanding customer behavior through video analytics, retailers can optimize store layouts, product placements, and promotional strategies. This proactive approach enhances the overall shopping experience, leading to increased sales and improved customer satisfaction.Self-Service Checkouts: Improving Customer Experience with Accurate Details on ProductsSelf-service checkouts represent a user-friendly facet of retail automation that directly impacts the customer experience. These systems enable customers to make successful payments by scanning barcodes, ensuring a swift and accurate checkout process. By providing detailed information on quantity, pricing, and other product details through barcode scanning, self-service checkouts enhance customer satisfaction. This automation feature not only expedites the checkout process but also empowers customers with accurate product information, contributing to a positive overall shopping experience.In conclusion, the components of retail automation work synergistically to transform traditional retail processes. Through utilizing the power of technology in point-of-sale, customer relationship management, inventory management, video analytics, and self-service checkouts, retailers can adapt to changing market dynamics, optimize operations, and elevate the customer journey.

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Top 5 Insurance Industry Trends to Watch Out In 2024

Internally, this industry is plagued by issues like ever-evolving customer demands, enhanced risk exposure, changing regulatory compliances, and increased occurrences of fraud.Adopting new digital trends is imperative if this sector wants to negate the effect of the above-mentioned factors. These trends also gain significance because they simplify the daily life of customers and employees alike by:Creating an intuitive, frictionless customer experienceReducing low-value, repetitive manual efforts put in by employeesImplementing Integrated Risk Management(IRM) initiativesThe insurance sector is a late bloomer in the field of technology adoption. It has, however, progressed to adopting Data Analytics and data-generated insights. Leveraging them has helped this industry to understand customer needs and preferences and pinpoint new growth opportunities.The ongoing digital transformation process, as illustrated by the integration of new technologies like IoT and AI, is making this sector increasingly competitive. Keeping up this momentum in 2024 will enable it to digitize the products and services offered, enhance customer engagement and drive inclusive sustainabilityAdditionally, for a perceptibly customer-centric industry, the ongoing tech transformation has exponentially escalated customer demands and made them more powerful. The ability to compare products for prices and suitability with just a few clicks has placed improving customer experience at the center of all upcoming insurance trends.ESG compliance to remain a key focusThe insurance sector faces a unique issue. Along with being evaluated based on their sustainability reports, insurers are also appraised on initiates taken to address carbon emissions, enable workforce diversity and increase governance transparencyGovernment and other such authorities have even introduced compliances that make it imperative for insurers to transition to a low-carbon economy and initiate procedures to manage climate-related risks better. Insurance companies are also swiftly realizing the commercial advantages of becoming Environmental, Social, and Governance(ESG) compliant. Statistics show that 85% of global insurers consider better ESG compliance necessary to transform brand reputation, investments, underwriting, risks & internal audits. Consequently, ESG compliance is now a competitive differentiator, and insurers must proactively focus on implementing initiatives to meet ESG requirements. Popularity of underwriting workbenchesInsurance underwriting refers to the process of assessing the risk potential of a customer. Underwriters have to analyze the business based on several factors, define the acceptability of the risk posed, and calculate a fair price for the coverage to be offered. The criticality of the work involved makes underwriting ideal for implementing automation, thus giving rise to the concept of the underwriter workbench.A centralized workspace containing a collection of all digital tools necessary for the successful execution of the underwriting process, is referred to as the underwriter’s workbench. They are a relatively novel concept. Underwriters have recently realized the convenience of using digital tools to quicken the entire process and make it more accurate. Additionally, the widespread use of automation, Artificial Intelligence, and Machine Learning in other insurance processes has catalyzed the adoption of underwriter workbenches. This accounts for the rapid rise in its popularity in the recent past.AI and process automation to lead from the frontThe digital transformation of other sectors has given customers a taste of a frictionless and convenient experience. Today, they expect the same standards from the insurance sector. Hence, process automation is mandatory if this sector wants to meet these customer expectations quickly. A report published by McKinsey predicts that by 2040, 55% of all insurance processes will be achieved using AI or Artificial Intelligence and ML or Machine Learning. McKinsey further states that automation will reduce the cost of a claim process by as much as 30%, which is substantial.The start of this trend is already evident in the collaborations insurance carriers are building with insurtechs. Leveraging the AI-based business model of these insurtechs is helping insurance carriers to evolve and adapt to the rapidly transforming business landscape. Capitalizing on the efficiencies generated by RPA, AI, Big Data, and Analytics will further help these carriers to streamline their operations and lower costs. They will also witness higher growth by meeting customer expectations and enhancing data security. Further, AI, as a technology driver, is responsible for giving rise to a critical trend in the insurance sector. This trend will lead to the massive evolution of the insurance sector with large-scale integration of AI, automation, and deep learning. Insurance players who evolve with this changing landscape will continue to thrive, but those still holding on to conventional systems might be forced to re-examine their strategies.Partiality toward Low-Code developmentThe insurance sector primarily needs a user-friendly and efficient website that can enhance customer satisfaction. The affinity for low-code websites in the insurance sector is a direct outcome of this need. Low-code websites typically have significantly fewer lines of code written compared to a traditional website. Such websites can be easily and quickly updated without undergoing the cumbersome website redevelopment process.  With customers’ appetite for the latest information evolving rapidly, this accelerated time to market for insurance sector applications has proved a boon.This is further corroborated by statistics as shared by Garter, which shows a growth of 22.6% in the market share of low-code digital insurance platform development. Alternatively, the development of high-end customized websites has declined by 23%. This proves the legitimacy of low-code development as a leading trend in the insurance sector for 2024.Preference for self-service capabilitiesCurrently, most insurance companies utilize the services of call centers and other such channels to handle customer queries and requests. But with workflow digitization resulting in increased customer convenience, there is a perceptible preference for self-servicing capabilities. Irrespective of whether the insurer is tech-savvy, there is universal gravitation towards automated processes. Today, customers want to self-manage policies, make premium payments, and raise and submit claims using self-service portals. With such high demand, insurance companies must upgrade their capabilities and opt for complete workflow digital transformation. Opting for this trend will prove to be counterproductive as insurance companies will benefit from:Reduced customer acquisition costsHigh customer retentionIncreased insurance agent productivityQuicker and less costly claim processesEnhanced customer loyalty resulting in better referralsFurther, implementing data analytics will empower insurance companies with customer behavioral data. They can provide personalized services and offer real-time assistance based on the same.The active adoption of the above trends for insurance digital transformation is no longer an option. It is a necessity that promises to lead the insurance sector toward offering enhanced customer experience,  saving operational costs, and innovating products and services. For a sector that has conventionally enjoyed stability and predictability, driving the above trends will help it to navigate the current uncertainties and achieve some semblance of the same stability and predictability.