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Conversational AI

Amazon Echo, Apple HomePod and Google Home are examples of tools that enable voice shopping. Voice assistants would get more sophisticated as they would be able to understand and interpret complex shopping queries, going beyond simple keyword matches. Chatbots and virtual assistants would become intuitive and make suitable recommendations. Domino’s Pizza Bot orders food and tracks delivery.15 Walmart’s Easy Reorder simplifies shopping with AI-powered recommendations,16 and Target’s Redcard offers personalised deals.17 Over a period of time, they could provide voice-enabled comparisons of products or suggest additions to the carts. In future, when integrated with AR and VR, conversational AI would provide an enhanced customer experience.

AR and Virtual Try-Ons

AR is being used currently in virtual showrooms. For instance, Warby Parker has created an AR application that enables customers to try on eyeglass frames virtually, thus helping customers feel comfortable with the options being considered before reaching the decision for purchase.18 Houzz and Williams-Sonoma use an AR application to help customers visualise furniture and home décor in their own space to determine the right choice of products.19 L’Oreal uses AR to enable customers to virtually try on cosmetics and make-up.20 Tiffany & Co’s engagement ring experience21 and De Beer’s Diamond Experience22 are aimed at interactive storytelling, leading to enhanced customer experience. Louis Vuitton hosts AR fashion shows, which offer immersive fashion experiences.23 Automobile manufacturers such as Audi, BMW and Tesla help customers to visualise cars in 3D formats and explore car features and designs.24 Social commerce platforms such as Shopify AR create AR experiences for e-commerce and provide an integrated AR shopping experience.25 Fashion brands partner with influencers for AR-powered product showcases. For instance, influencers use Sephora’s Virtual Artist or Ulta Beauty’s Virtual Try-On to showcase make-up looks.26 Heritage Indian brands are creating immersive experiences for their customers through AI and AR. The legacy brands include Britannia, Tata Tea and ITC.27 AI can use a shopper’s picture or measurements to create digital avatars for virtual try-ons. It is anticipated that AR-powered virtual try-on capabilities will become more widely used in the coming days. Smart mirrors can transform the retail business with innovative AI and AR applications. While they are currently being deployed to enable customers to try on fashion and convenience-related products and provide them with real-time haptic feedback to help them speed up their decision-making process, in due course of time, AI algorithms would personalise recommendations based on the analysis of customer preferences and purchase patterns. Some examples of businesses that are using smart mirror technology include H&M, which has installed smart mirrors with Microsoft Azure-powered voice assistants at its New York Times Square store, and Adidas and Tommy Hilfiger, which encourage customers to try various options virtually and thus reduce the return rates.28 The trends in using AR to enhance the shopping experience will grow significantly in the coming years.29 The combination of AR and AI technologies would bring XR into the mainstream, enabling further personalised experiences and interactive applications. For instance, we would be experiencing generative AR glasses that are able to identify objects and enrich them with AR information generated on demand, offering real-time and personalised experiences. Immersive customer experiences would become more enriching. With the integrated applications combining AR, spatial computing, Web3 and non-fungible tokens, customer engagement would be enhanced, linking products with immersive experiences.

Smart Inventory Management

Inventory management and fast-moving items have been closely monitored by manufacturers for a while now. Moving away from stock-and-sell approaches to smart inventory management involving predictive analytics has been effective with those businesses where data is systematically organised so that it could be sliced and diced as required to come up with optimal stocking as well as manufacturing plans. Predictive analytics can be used to know which items would be required in which stores based on seasonality, specific occasions and target audiences. Many organisations struggle with data access, formats of organising the data, ownership of data and the time taken to reorganise or clean up the data to build/maintain models. There is also the added challenge in integrating data from multiple devices/modes/channels and making them amenable for analysis. In future, robotics and blockchain technology will play a significant role in handling and tracking stock and minimise human errors. IoT-enabled smart shelves and intelligent inventory replenishments will ensure that what customers need is always in stock.

练习题

Which of the following is mentioned in the source material as a tool that enables voice shopping?

Amazon Echo

TikTok Shop

Fitbit Versa

PlayStation VR

According to the text, future voice assistants in shopping are expected to move beyond simple keyword matching by doing what?

A. Replacing all physical stores immediately

B. Understanding and interpreting complex shopping queries

C. Limiting users to only brand-name searches

D. Removing the need for product recommendations

Which of the following examples are identified in the passage as AI shopping assistants or AI-powered retail support tools? Select all that apply.

Domino’s Pizza Bot

Walmart’s Easy Reorder

Target’s Redcard

Warby Parker’s AR eyeglass app

Google Home

Conversational AI in retail is expected to remain limited to simple keyword matching and will not support product comparison or cart suggestions.

The source suggests that integrating conversational AI with $AR$ and $VR$ could enhance customer experience.

Chatbots and virtual assistants are expected to become intuitive and make suitable ___ for shoppers.

How do the developments in conversational AI described in the passage build on the earlier shift toward digital content improving product access and purchase decision support?

Which statement best connects current conversational AI trends with the earlier retail trend toward hyper-personalisation?

A. Conversational AI mainly reduces internet speed requirements for shopping

B. Conversational AI makes catalogues physical again

C. Conversational AI can provide intuitive recommendations and personalised deals based on shopper needs

D. Conversational AI prevents integration with other technologies such as

AR

Which company is cited as using $AR$ to let customers virtually try on eyeglass frames?

L’Oreal

Warby Parker

Tesla

Tiffany & Co.

Which of the following are examples from the passage of $AR$ helping customers visualise or try products? Select all that apply.

Houzz

helping users visualise furniture in their own space

L’Oreal

enabling virtual cosmetic try-ons

Audi, BMW, and Tesla

offering

3 D

car visualisation

Domino’s Pizza Bot

tracking delivery

Warby Parker

offering virtual eyeglass try-ons

$AR$ in retail is described only as a future possibility and is not currently being used in virtual showrooms.

The passage suggests that $AI$ can use a shopper's picture or measurements to create digital avatars for virtual try-ons.

Smart mirrors are currently being deployed to enable customers to try on products and receive real-time ___ feedback.

Explain how combining $AR$ and $AI$ could bring $XR$ into the mainstream according to the passage.

Which statement best reflects the role of smart mirrors described in the passage?

A. They are used only for warehouse stock counting

B. They help customers try products virtually and may later personalise recommendations using preference and purchase data

C. They replace all online shopping platforms

D. They are mainly designed for cryptocurrency payments

The growth of $AR$ shopping trends is presented as likely to decline significantly in the coming years.

How do $AR$ shopping experiences in social commerce connect with the earlier retail shift toward social commerce and data-driven targeting?

According to the source, smart inventory management moves away from a traditional ___ approach.

scan-and-pay

stock-and-sell

browse-and-return

try-and-compare

Which of the following are described as challenges in using data for inventory analytics? Select all that apply.

A. Difficulty in data access

B. Problems with formats of organising data

C. Ownership issues related to data

D. Time needed to reorganise or clean data

E. The claim that all organisations already have perfectly integrated data

Predictive analytics in inventory management can help determine which items are needed in which stores based on seasonality, specific occasions, and target audiences.

The passage argues that integrating data from multiple devices, modes, and channels is easy and requires no special effort for analysis.

In future, $IoT$ -enabled smart shelves and intelligent inventory replenishments will help ensure that what customers need is always in ___.

Why is systematically organised data important for smart inventory management based on predictive analytics?

Which future technologies are mentioned as likely to play a significant role in handling and tracking stock while minimising human errors?

Robotics

and

blockchain

Mail order

and

catalogues

Biometric payments

and

face recognition

AR fashion shows

and

NFTs

Smart inventory management aligns with the earlier retail focus on using $AI$ to analyse buying patterns and predict customer needs more accurately.

A retailer wants to improve purchase decisions by combining a voice assistant with an immersive product experience. Which option best reflects this integration using concepts from both earlier digital retail evolution and the current section?

A. Replacing digital content with printed catalogues so that customers can study products before speaking to the assistant

B. Using a voice assistant to answer complex shopping queries and combining it with

AR

virtual try-ons so customers can evaluate products more confidently

C. Limiting the assistant to simple keyword search and removing product visualisation features

D. Focusing only on queue-free checkout without offering product information or recommendations

Which of the following examples show retail moving toward more personalised and context-rich shopping experiences by combining prior $AI$ recommendation ideas with current technologies? Select all that apply.

A. A chatbot suggests suitable products to a shopper based on preferences

B. A smart mirror analyses customer preferences and purchase patterns to personalise recommendations

C. A voice assistant compares products and suggests adding related items to the cart

D. A retailer switches from digital content back to mail-order-only catalogues to reduce customer choice

AR

cosmetics try-ons allow customers to test make-up virtually before choosing

Because current recommendation systems already rely on customer patterns and browsing behaviour, it is reasonable that future smart mirrors could personalise recommendations by analysing customer preferences and purchase patterns.

The current section states that $AI$ can use a shopper's picture or measurements to create digital avatars for virtual try-ons, which extends the earlier retail goal of in recommendation systems.

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Conversational AI

Conversational AI

AR and Virtual Try-Ons

Smart Inventory Management

练习题

Which of the following is mentioned in the source material as a tool that enables voice shopping?

According to the text, future voice assistants in shopping are expected to move beyond simple keyword matching by doing what?

Which of the following examples are identified in the passage as AI shopping assistants or AI-powered retail support tools? Select all that apply.

Conversational AI in retail is expected to remain limited to simple keyword matching and will not support product comparison or cart suggestions.

The source suggests that integrating conversational AI with AR and VR could enhance customer experience.

Chatbots and virtual assistants are expected to become intuitive and make suitable ___ for shoppers.

How do the developments in conversational AI described in the passage build on the earlier shift toward digital content improving product access and purchase decision support?

Which statement best connects current conversational AI trends with the earlier retail trend toward hyper-personalisation?

Which company is cited as using AR to let customers virtually try on eyeglass frames?

Which of the following are examples from the passage of AR helping customers visualise or try products? Select all that apply.

AR in retail is described only as a future possibility and is not currently being used in virtual showrooms.

The passage suggests that AI can use a shopper's picture or measurements to create digital avatars for virtual try-ons.

Smart mirrors are currently being deployed to enable customers to try on products and receive real-time ___ feedback.

Explain how combining AR and AI could bring XR into the mainstream according to the passage.

Which statement best reflects the role of smart mirrors described in the passage?

The growth of AR shopping trends is presented as likely to decline significantly in the coming years.

How do AR shopping experiences in social commerce connect with the earlier retail shift toward social commerce and data-driven targeting?

According to the source, smart inventory management moves away from a traditional ___ approach.

Which of the following are described as challenges in using data for inventory analytics? Select all that apply.

Predictive analytics in inventory management can help determine which items are needed in which stores based on seasonality, specific occasions, and target audiences.

The passage argues that integrating data from multiple devices, modes, and channels is easy and requires no special effort for analysis.

In future, IoT-enabled smart shelves and intelligent inventory replenishments will help ensure that what customers need is always in ___.

Why is systematically organised data important for smart inventory management based on predictive analytics?

Which future technologies are mentioned as likely to play a significant role in handling and tracking stock while minimising human errors?

Smart inventory management aligns with the earlier retail focus on using AI to analyse buying patterns and predict customer needs more accurately.

A retailer wants to improve purchase decisions by combining a voice assistant with an immersive product experience. Which option best reflects this integration using concepts from both earlier digital retail evolution and the current section?

Which of the following examples show retail moving toward more personalised and context-rich shopping experiences by combining prior AI recommendation ideas with current technologies? Select all that apply.

Because current recommendation systems already rely on customer patterns and browsing behaviour, it is reasonable that future smart mirrors could personalise recommendations by analysing customer preferences and purchase patterns.

The current section states that AI can use a shopper's picture or measurements to create digital avatars for virtual try-ons, which extends the earlier retail goal of ​ in recommendation systems.

The source suggests that integrating conversational AI with $AR$ and $VR$ could enhance customer experience.

Which company is cited as using $AR$ to let customers virtually try on eyeglass frames?

Which of the following are examples from the passage of $AR$ helping customers visualise or try products? Select all that apply.

$AR$ in retail is described only as a future possibility and is not currently being used in virtual showrooms.

The passage suggests that $AI$ can use a shopper's picture or measurements to create digital avatars for virtual try-ons.

Explain how combining $AR$ and $AI$ could bring $XR$ into the mainstream according to the passage.

The growth of $AR$ shopping trends is presented as likely to decline significantly in the coming years.

How do $AR$ shopping experiences in social commerce connect with the earlier retail shift toward social commerce and data-driven targeting?

In future, $IoT$ -enabled smart shelves and intelligent inventory replenishments will help ensure that what customers need is always in ___.

Smart inventory management aligns with the earlier retail focus on using $AI$ to analyse buying patterns and predict customer needs more accurately.

Which of the following examples show retail moving toward more personalised and context-rich shopping experiences by combining prior $AI$ recommendation ideas with current technologies? Select all that apply.

The current section states that $AI$ can use a shopper's picture or measurements to create digital avatars for virtual try-ons, which extends the earlier retail goal of in recommendation systems.