How can we apply artificial intelligence? 100 words
Answers
Answered by
1
Answer :-
19 Powerful Ways To Use Artificial Intelligence In eCommerce
1. Create customer-centric search
Amir Konigsberg is the current CEO of Twiggle, a business that enables eCommerce search engines to think the way humans do. Watch any recent interviews with Amir and he will tell you that consumers often abandon eCommerce experiences because the product results displayed are often irrelevant.
2. Retarget potential customers
According to Conversica, at least 33% of marketing leads are not followed up by the sales team. This means that pre-qualified potential buyers interested in your product or service, fall through the inevitable cracks.
3. Identify exceptional target prospects
New AI technology arms e-commerce businesses with the timely intelligence required to solve their business challenges such as lead generation.
4. Create a more efficient sales process
Thankfully, just about all of us have moved on from the days of old sales techniques such as picking up the trusty Yellow Pages and pestering potential clients through cold-calling.
5. Create a new level of personalisation across multiple devices
Personalisation is nothing new for eCommerce and if you frequently use Amazon then you’ll know exactly what we’re referring to. However, with the ever-increasing advances in artificial intelligence and machine learning technologies, new deep levels of personalisation have started to penetrate the fast-growing e-commerce world.
6. Provide a personal touch with chatbots
A tornado of technological advances has changed consumers’ expectations, and commerce is now focused on building experiences for the individual, and not the mass market. For consumers, there are a multitude of touch points and influences that generate purchases.
7. Empower store workers
Whilst online retailers have experimented with chatbots, there has also been some consideration of how to replicate the helpful experience in-store.
8. Implement virtual assistants
All of us need a little help online sometimes.
9. Integrate with everyday household items
There are few more interesting examples of AI integration than the partnership between Amazon’s Alexa and LG’s Smart InstaView refrigerators.
10. Improve recommendations for customers
Using AI, brands can more intelligently and efficiently scan through petabytes of data to predict customer behaviour, and offer relevant and helpful recommendations to individual consumers.
11. Introduce virtual personal shoppers
We discussed the concept of virtual assistants in #8, but AI is also enabling brands to create purposely-built ‘shoppers’ to assist their customers online.
12. Work with intelligent agents
New intelligent agent negotiation systems have become a popular tool used in eCommerce, following the development of artificial intelligence and agent technology.
13. Build an ‘assortment intelligence’ tool
Customers are forcing retailers to change their pricing strategies. Therefore, it is imperative that multichannel retailers apply flexibility when it comes to their price structuring, in order for them to retain customers.
14. Bridge the gap between personalisation and privacy
Whenever it comes to discussing the topic of personalisation, there is often a trade off with concerns to user privacy. User privacy has been a hot topic in recent years with its importance considered stronger than ever.
15. Generate sales through wearable technology
We’re all aware of the important role that mobile plays in e-commerce sales.
16. Improve dialogue systems
Amazon have started to apply AI to widely known issues with dialogue systems, such as speech recognition, natural language understanding and question answering.
16. Improve dialogue systems
Amazon have started to apply AI to widely known issues with dialogue systems, such as speech recognition, natural language understanding and question answering.
17. Tackle fake reviews
Any experienced online retailer will be able tell you of at least one painful story about receiving fake reviews for their brand.
18. Combat counterfeit products
As with fake reviews (#17 in the list above), attributes such as product, brand and category are also useful to spot counterfeit products.
19. Localise the customer experience
With the rapid growth of AI in recent years, we are starting to see more industry-focused engines appear. Wayblazer, an AI platform for the travel industry, is a great example of this.
Hope it helps and mark as brainliest please.
If it is long you can make it shorter.
19 Powerful Ways To Use Artificial Intelligence In eCommerce
1. Create customer-centric search
Amir Konigsberg is the current CEO of Twiggle, a business that enables eCommerce search engines to think the way humans do. Watch any recent interviews with Amir and he will tell you that consumers often abandon eCommerce experiences because the product results displayed are often irrelevant.
2. Retarget potential customers
According to Conversica, at least 33% of marketing leads are not followed up by the sales team. This means that pre-qualified potential buyers interested in your product or service, fall through the inevitable cracks.
3. Identify exceptional target prospects
New AI technology arms e-commerce businesses with the timely intelligence required to solve their business challenges such as lead generation.
4. Create a more efficient sales process
Thankfully, just about all of us have moved on from the days of old sales techniques such as picking up the trusty Yellow Pages and pestering potential clients through cold-calling.
5. Create a new level of personalisation across multiple devices
Personalisation is nothing new for eCommerce and if you frequently use Amazon then you’ll know exactly what we’re referring to. However, with the ever-increasing advances in artificial intelligence and machine learning technologies, new deep levels of personalisation have started to penetrate the fast-growing e-commerce world.
6. Provide a personal touch with chatbots
A tornado of technological advances has changed consumers’ expectations, and commerce is now focused on building experiences for the individual, and not the mass market. For consumers, there are a multitude of touch points and influences that generate purchases.
7. Empower store workers
Whilst online retailers have experimented with chatbots, there has also been some consideration of how to replicate the helpful experience in-store.
8. Implement virtual assistants
All of us need a little help online sometimes.
9. Integrate with everyday household items
There are few more interesting examples of AI integration than the partnership between Amazon’s Alexa and LG’s Smart InstaView refrigerators.
10. Improve recommendations for customers
Using AI, brands can more intelligently and efficiently scan through petabytes of data to predict customer behaviour, and offer relevant and helpful recommendations to individual consumers.
11. Introduce virtual personal shoppers
We discussed the concept of virtual assistants in #8, but AI is also enabling brands to create purposely-built ‘shoppers’ to assist their customers online.
12. Work with intelligent agents
New intelligent agent negotiation systems have become a popular tool used in eCommerce, following the development of artificial intelligence and agent technology.
13. Build an ‘assortment intelligence’ tool
Customers are forcing retailers to change their pricing strategies. Therefore, it is imperative that multichannel retailers apply flexibility when it comes to their price structuring, in order for them to retain customers.
14. Bridge the gap between personalisation and privacy
Whenever it comes to discussing the topic of personalisation, there is often a trade off with concerns to user privacy. User privacy has been a hot topic in recent years with its importance considered stronger than ever.
15. Generate sales through wearable technology
We’re all aware of the important role that mobile plays in e-commerce sales.
16. Improve dialogue systems
Amazon have started to apply AI to widely known issues with dialogue systems, such as speech recognition, natural language understanding and question answering.
16. Improve dialogue systems
Amazon have started to apply AI to widely known issues with dialogue systems, such as speech recognition, natural language understanding and question answering.
17. Tackle fake reviews
Any experienced online retailer will be able tell you of at least one painful story about receiving fake reviews for their brand.
18. Combat counterfeit products
As with fake reviews (#17 in the list above), attributes such as product, brand and category are also useful to spot counterfeit products.
19. Localise the customer experience
With the rapid growth of AI in recent years, we are starting to see more industry-focused engines appear. Wayblazer, an AI platform for the travel industry, is a great example of this.
Hope it helps and mark as brainliest please.
If it is long you can make it shorter.
Similar questions
English,
10 months ago
Science,
10 months ago
Computer Science,
1 year ago
Computer Science,
1 year ago