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Technology Trends in 2023

In the past couple of years, we have witnessed revolutionary breakthroughs in technology. In a post-pandemic world, anything is possible. Technology will continue to influence how we live and work in 2023. As more products and services include artificial intelligence (AI) and machine learning (ML), they become smarter and more capable of carrying out jobs that were previously solely performed by humans. 

Here are some trends that will shape 2023:

  1. Web3/Blockchain: The blockchain ledger is being utilized in various contexts, including the protection of patient data, accelerating transaction times, reducing digital fraud, and more. By 2030, according to a report by Statista, the market is projected to grow by a CAGR of 82.8% touching $1,235.71 billion. 
  • Asset Tokenization: It is anticipated that some sectors, like healthcare and finance, may choose private blockchains in the years to come due to the requirement for greater security and privacy. The BFSI, retail, travel & hospitality, healthcare, IT & telecom, and media & entertainment are the different market segments for tokenization. The BFSI industry is anticipated to hold the most significant market share for tokenization in 2023. The expansion of this market is attributed to the rise in payment security solutions adoption and data breaches in the BFSI industry.
  1. Web AR: Some benefits of using Augmented Reality in business are boosting sales, minimizing returns, increasing customer engagement, collecting data on customer preferences, and providing a contactless experience. Users can now virtually try clothes and jewelry before purchasing on websites like Candere and Hazoorilal with the help of Web AR. Beauty and wellness platforms like Nykaa and Purplle let one try on lipstick shades digitally before purchasing them. Leading eCommerce portal for eyewear Lenskart allows customers to try on different frames virtually to choose the right one. Web AR is also used in education, taking the learning process to another level. It can be used to understand complex study models. For eg: Medical students can study human anatomy and even train for surgery on it.

Luminaire, a German-based aggregator of in-home and office lighting solutions partnered with Mantra Labs to create an AR model through paper catalogs, hand sketches, technical/2D drawings, and an interactive product database for products with electrical, luminous, & mechanical specifications.

  1. Adaptive AI: Unlike conventional AI systems, adaptive AI can modify its own learning strategies to account for changes in the actual world that weren’t anticipated when the system was created. By 2026, Gartner predicts that businesses that have implemented AI engineering methods to create and oversee adaptive AI systems will outperform their rivals in terms of the quantity and speed of operationalizing AI models. 

Hitee, Mantra Labs’ industry-specific AI-driven conversational chatbot helps insurance enterprises with customer onboarding by creating workflow automation, ticket queuing, etc.

  1. Metaverse: According to Forbes, the metaverse will contribute $5 trillion to the world economy by 2030, and 2023 will be the year that determines the metaverse’s course for the following ten years. Further, it says that by 2023, we’ll have more immersive meeting spaces where people can collaborate, develop, and create things. 
  • Education and learning: Mesh is a mixed reality collaboration and communication platform by Microsoft for staff, faculty, and students to interact using 3D avatars. 
  • Banking and finance: Metaverse in banking is reaching new heights. From any place, the banking metaverse provides a 360-degree picture of actual banks. One can still use their laptop or mobile device to access Metaverse banking even if they don’t own a VR headset.
  • Healthcare: Patients and doctors can communicate in virtual 3D clinics under the umbrella of telemedicine and telehealth, a notion made popular by the Metaverse after the pandemic. Another example is the Metaverse-powered Digital Twin technology, which enables the creation of a patient’s digital representation for the purpose of testing therapies and medications.
  1. Predictive analytics in Logistics: Playing a significant role in logistics by enabling businesses to foresee demand, anticipated delivery dates, and optimize the supply chain, the predictive analysis will result in quicker deliveries, less waste, and cheaper prices.

Hwy Haul, a California-based freight brokerage startup, partnered with Mantra Labs to create a portal to track their freight from booking to end a carrier portal to manage their fleet and drivers, an OPS portal to manage operations and backend systems, and a driver mobile app to deliver conveniently.

Key takeaways:

Technology has always been evident in every ecosystem. However, with the advent of AI and data analytics, one can expect a rather structured, sustainable, and creative take on things. While existing technologies continue to serve and enhance the customer experience, one will witness new ideas and experiments to promote a convenient and conscious lifestyle.

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10 Analytics Tools to Guide Data-Driven Design

Analytics are essential for informing website redesigns since they offer insightful data on user behavior, website performance, and areas that may be improved. Here is a list of frequently used analytics tools to guide data-driven design that can be applied at different stages of the website redesign process. 

Analytics Tools to Guide Data-Driven Design

1. Google Analytics:

Use case scenario: Website Audit, Research, Analysis, and Technical Assessment
Usage: Find popular sites, entry/exit points, and metrics related to user engagement by analyzing traffic sources, user demographics, and behavior flow. Recognize regions of friction or pain points by understanding user journeys. Evaluate the performance of your website, taking note of conversion rates, bounce rates, and page load times.

2. Hotjar:

Use case scenario: Research, Analysis, Heat Maps, User Experience Evaluation
Usage: Use session recordings, user surveys, and heatmaps to learn more about how people interact with the website. Determine the high and low engagement regions and any usability problems, including unclear navigation or form abandonment. Utilizing behavior analysis and feedback, ascertain the intentions and preferences of users.

3. Crazy Egg:
Use case scenario: Website Audit, Research, Analysis
Usage: Like Hotjar, with Crazy Egg, you can create heatmaps, scrollmaps, and clickmaps to show how users interact with the various website elements. Determine trends, patterns, and areas of interest in user behaviour. To evaluate various design aspects and gauge their effect on user engagement and conversions, utilize A/B testing functionalities.

4. SEMrush:

Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct keyword research to identify relevant search terms and phrases related to the website’s content and industry. Analyze competitor websites to understand their SEO strategies and identify opportunities for improvement. Monitor website rankings, backlinks, and organic traffic to track the effectiveness of SEO efforts.

5. Similarweb:
Use case
scenario: Research, Website Traffic, and Demography, Competitor Analysis
Usage: By offering insights into the traffic sources, audience demographics, and engagement metrics of competitors, Similarweb facilitates website redesigns. It influences marketing tactics, SEO optimization, content development, and decision-making processes by pointing out areas for growth and providing guidance. During the research and analysis stage, use Similarweb data to benchmark against competitors and guide design decisions.

6. Moz:
Use case scenario: Research, Analysis, SEO Optimization
Usage: Conduct website audits in order to find technical SEO problems like missing meta tags, duplicate content, and broken links. Keep an eye on a website’s indexability and crawlability to make sure search engines can access and comprehend its material. To find and reject backlinks that are spammy or of poor quality, use link analysis tools.

7. Ahrefs:
Use case scenario:
Research, Analysis, SEO Optimization

Usage: Examine the backlink profiles of your rivals to find any gaps in your own backlink portfolio and possible prospects for link-building. Examine the performance of your content to find the most popular pages and subjects that appeal to your target market. Track social media activity and brand mentions to gain insight into your online reputation and presence.

8. Google Search Console:

Use case scenario: Technical Assessment, SEO Optimization
Usage: Monitor website indexing status, crawl errors, and security issues reported by Google. Submit XML sitemaps and individual URLs for indexing. Identify and fix mobile usability issues, structured data errors, and manual actions that may affect search engine visibility.

9. Adobe Analytics:
Use case scenario:
Website Audit, Research, Analysis,
Usage: Track user interactions across multiple channels and touchpoints, including websites, mobile apps, and offline interactions. Segment users based on demographics, behavior, and lifecycle stage to personalize marketing efforts and improve user experience. Utilize advanced analytics features such as path analysis, cohort analysis, and predictive analytics to uncover actionable insights.

10. Google Trends:

Use case scenario: Content Strategy, Keyword Research, User Intent Analysis
Usage: For competitor analysis, user intent analysis, and keyword research, Google Trends is used in website redesigns. It helps in content strategy, seasonal planning, SEO optimization, and strategic decision-making. It directs the production of user-centric content, increasing traffic and engagement, by spotting trends and insights.

About the Author:

Vijendra is currently working as a Sr. UX Designer at Mantra Labs. He is passionate about UXR and Product Design.

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