Artificial Intelligence (AI)
How Technology Will Reshape Shopping In The Future

Gone are the days you’d spend hours at the mall looking for the perfect wedding gift only to wait in line for ages to check out and pay. More and more consumers are looking at technology to ease their purchasing woes.
The future of shopping is expected to grow in leaps and bounds in the coming years as technology continues to evolve at a fast pace. We see the death of brick-and-mortar stores as e-commerce takes the lead. Customer experience is quick, seamless and convenient.
Nowadays, with a tap on your Smartphone, you can access thousands of items from a wide range of retailers and have it delivered to your doorstep. With some price comparison websites, you can visit multiple stores and pick the ideal item. All while sipping your cup of Joe in your pyjamas.
Disruption in the tech sector will change the way you shop. Most traditional physical stores are barely surviving the digital onslaught. Digitization is blowing like an incessant wind in the shopping sector. For the best products for all your needs check out https://www.bestreviews.guide/
Table of Contents
What the next generation should expect:
Online shopping is the norm nowadays, and very few people are trickling into stores to buy products. Today’s shoppers are savvy and virtual. How technology will influence both online and retail shopping and the potential of blockchain and AI when it comes to shopping, is a must-experience. Let’s peek into the future. Shall we?
Virtual Shopping
Ditch the stores and grab the headsets. Virtual reality is setting sail, and you don’t want to miss out on the fun. Virtual reality technology is taking your shopping experience to another level.
How does taking a 3-D selfie of yourself using your Smartphone sound? Or trying out different outfits in VR? Or maybe visiting a virtual shop with your virtual assistants to help you choose what to buy? Brands like Amazon launched VR kiosks in India’s shopping malls. Swarovski and Mastercard teamed up to open a new home decor items section via a VR app. Tommy Hilfiger enhances its customers experience with VR runway shows while IKEA lets its customers design their ideal kitchen in VR before installing it.
However, VR faces a couple of hurdles. The technology is clunky from a user’s perspective, and the field of view is still not excellent. There is a lot of hardware, but if the headaches are erased, consumers will embrace VR fully.
Enter A-Commerce
Before Pokeman Go, no one could predict the potential of Augmented Reality. But with AR sweeping through the tech world, more and more businesses are embracing this futuristic technology.
One of the sectors where augmented reality is creating a disruptive impact is eCommerce. Online shopping has been on the rise for the last two decades, offering consumers a seamless, quick and convenient shopping experience.
One migraine that consumers face with online shopping is determining if a product is the right fit. Augmented reality is a boon to consumerism as it fills this gap. AR brings realism to your shopping experience and allows you to play around with items that were mere still photos in eCommerce. This transforms eCommerce to a-commerce.
Some brands that have adopted e-commerce to enhance customer shopping experience include; Amazon’s AR view feature. Clients can see how a given item will look in their workspace before ordering it.
Sephora has an app which uses ModiFace Technology. It allows its customers to take a selfie and apply cosmetic products to narrow their shopping choices — having a hard time finding the perfect sunglasses? Try Rayban’s new app “Virtual Try-On” that lets you try different sunglasses before picking the right one — no more wasting hours trying different pairs of sunglasses in front of a mirror.
AI shopping
Running out of home staples such as milk, groceries or breakfast cereals will be a thing of the past. AI (Artificial Intelligence) is about to go to turbo drive and change consumer shopping habits in the coming years.
AI will recognize when your pantry is running low, order and restock your items. The items will ebe delivered to your doorstep, all without having to leave your home. You’ll dedicate your boring shopping needs to intelligent AI bots.
Many eCommerce stores are embracing A.I to understand their customers’ needs, generate leads and provide their customers with a convenient experience. Most stores are embracing “conversational commerce” where AI blends with “chatbots” to drive sales.
Chatbots provide a viable customer support solution. Virtual assistants like Siri, Alexa and Google Now can help you discover a new product launch. Virtual personal shoppers like Amazon’s Mona gives you the most relevant product deals tailored to your needs.
Encounter A.I created Mai in 2018, an advanced retail assistant for restaurants and retailers and to help the blind to simplify ordering. The voice-enabled ordering assistant helps individuals transact in on-premise stores, especially those with visual impairment.
Automated retail- scan-and-go stores
Do you recall picking that can of coke or a pack of biscuits from a vending machine when you were young and even now? Automated retail is not a new technology, but we expect it to change the dynamics of shopping in a few years to come.
Amazon Go has embraced this trend. You can walk into a store, pick the product you want to buy and walk out without any interactions with staff. And on checkout be automatically charged for your purchases.
Automated retail is a vast area and covers unmanned kiosks, vending machines and unattended grocery stores. It provides a broad scope of innovation for the future customer. According to PYMNTS.com, the interactive kiosk in the US is expected to hit more than 1 billion in 2020. And the automated kiosk market will be worth $34 billion in 2023 according to Research and Markets.
We are looking forward to the futuristic shopping experience with no cashiers where consumers experience self-checkout.
Conclusion:
In a highly competitive environment, innovation is king to stay afloat. With changing consumer habits, technologists are finding creative and exciting ways of making your shopping experience fun, exciting and hassle-free. The future of shopping is looking bright, and we are looking forward to the futuristic experiences in our shopping sprees.
Helpful Resources:
1. 16 Best (free) AMP – (Accelerated Mobile Pages) WordPress Plugins in [2019]
2. Do Human Translators Have a Reason to Be Afraid of Advancing Technologies
3. Artificial Intelligence And Its Demands To The Programmers
4. The Future Of Furniture Shopping: Augmented Reality Apps
5. How Augmented Reality Will Change The Future Of Design Industry In [2019]
Artificial Intelligence (AI)
How to Build a Rewarding Career in Data Science?
We’ll explore the interesting world of data science, investigate its numerous applications, and offer you valuable tips on how to establish and grow a successful career in this exciting new sector.

As the need for qualified data scientists grows, acquiring a Data Science Certification might lead to exciting new opportunities. Why Choose Data Science as a Career? This is a prevalent worry among students and recent grads interested in data science, predictive modelling, and AI/ML professions. If you are naturally strong with numbers, like solving riddles, and are naturally curious, consider a career in data science.
In this blog, we’ll explore the interesting world of data science, investigate its numerous applications, and offer you valuable tips on how to establish and grow a successful career in this exciting new sector.
Table of Contents
1. Understanding Data Science: What Is It All About?
Data science is the process of gleaning valuable information from enormous databases. Understanding data patterns and making informed business decisions are aided by a combination of principles from computer science, statistics, and domain expertise. Businesses in every industry are racing to harness the power of data. This is where the services of trained data scientists with the appropriate tools may be invaluable.
2. Why Choose Data Science as a Career?
Before we go into how to get started in the industry, let’s discuss the advantages of a career in data science. Technological innovation is at the forefront of data science. From medicine to finance to retail to the arts, data science is having a profound impact. The potential to have an influence, solve problems, and make a difference in the world is great for those who work in this sector.
3. The Path to Becoming a Data Scientist
You’re obviously interested enough in data science to want to know how to get started in the field, so let’s talk about that. The road ahead may seem challenging, but with focus and strategy, you may make good progress.
a. Educational Foundation
A solid educational foundation is crucial for a successful career in the data science sector. Many data scientists get their start in the field by earning a bachelor’s degree in a quantitative field like Computer Science, Mathematics, or English. If you want to stand out in this competitive field, consider pursuing a master’s degree in data science or a related field or being certified in data science.
b. Develop Technical Skills
Data science requires a diverse range of abilities because of its technological nature. You should study Python and R since they are both widely used programming languages with practical applications in data analysis and machine learning. Use tools for displaying data, such as Matplotlib, and libraries for altering data, such as Pandas.
c. Dive into Statistics and Machine Learning
Statistics act as the backbone of the data science field. Study the ins and outs of creating AI algorithms and statistical analysis. To get the most out of these strategies, try applying them to actual problems.
d. Build a Portfolio
The best way to display your ability is by practical practice. Take part in hackathons and open-source projects. A portfolio is an excellent way to demonstrate your skills and passion.
e. Network and Collaborate
Building your network in the data science community might open doors to paid and unpaid internships. Learn from industry experts by participating in seminars and online discussion groups. The results of collaborative activities are often shared knowledge and shared responsibility for tasks.
f. Stay Updated
Data science is a dynamic field that’s constantly evolving. Be informed about the latest advances in the area. Continuous learning is essential for keeping one’s competitive edge in the workplace.
4. Job Opportunities in Data Science
If you have a varied set of talents and a data science certification, you’ll be eligible for a variety of opportunities in the data science ecosystem.
- Data Analyst: Determine actionable insights from data via analysis.
- Machine Learning Engineer: Machine learning engineers develop and implement intelligent software that can teach itself.
- Data Engineer: Manage data pipelines and infrastructure.
- AI Research Scientist: Work as a scientist who focuses on artificial intelligence and does research to better the field.
- Data Scientist: Data Scientists use their knowledge and expertise in specialized fields to solve complex problems.
5. Final Thoughts
Data science may be a fulfilling and intellectually stimulating career. Start a productive career by investing in your education, technical skills, and experience. Data science certification might help you succeed professionally. Data science may be appropriate for you if you love data and want to change the world. If you study hard and work hard in this field, you can influence global enterprises.
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