Case Study: Transforming Retail Operations with Azure AI Services

Business Overview

Lakeshore Retail, a prominent retail chain with over 500 stores nationwide, offers a diverse range of products from groceries to electronics and maintains a strong online presence. Lakeshore Retail goals include enhancing customer experience, streamlining operations, and leveraging data for informed decision-making.

Existing Setup

Lakeshore Retail’s robust IT infrastructure includes:

1. Point of Sale (POS) Systems: Integrated with inventory management.
2. Customer Relationship Management (CRM): For managing customer data and interactions.
3. E-commerce Platform: Supporting online sales and customer engagement.
4. Data Warehousing: For storing and analyzing sales and customer data.

New Requirement

Lakeshore Retail has identified several areas for improvement:

1. Enhanced Customer Experience: Personalizing customer interactions both online and in-store.
   • Virtual Try-On Feature: Lakeshore Retail is planning to launch the virtual ‘Try-It-On’ feature with their range of eyewear products such as sunglasses, swimming goggles, and spectacles. Customers will be able to upload a front-profile selfie and see how the eyewear fits.
     
   • In-Store Touch Screen Assistant: Enhancing the touch-screen assistant in retail outlets with mic input and read-aloud functionality.
     
   • Digital Assistant: Creating a digital assistant for their e-commerce platform to assist customers with order details, return policies, etc.
     
   • Sentiment Analysis: Analyzing product reviews to recommend more suitable products to customers.
     
   • Image-Based Search: Add an option in the E-commerce site, where customers can upload an image and search for similar items in the inventory.
     
2. Streamline Business Operations
   • Customer Purchase Analysis: Analyzing customer purchase invoices to identify patterns and draw business conclusions.
     
   • Social Media Analysis: Analyzing tweets to identify key topics being discussed about Lakeshore Retail.
     
3. Business Expansion and Compliance
   • Age Verification: Lakeshore Retail plans to expand its business by adding a liquor section in their retail outlets. To ensure minors cannot order liquor through the Touch-Screen Assistants, it will implement age verification for customers purchasing alcohol.
     

Question 1: Which Azure AI service can they use to implement the virtual Try-It-On feature, to identify the position of the eyes in an uploaded image ?

Question 2: Lakeshore Retail wants to use the Azure AI Language Service to analyze product reviews and suggest products with higher positive reviews to customers. Which class and method should be used to analyze the product reviews using the Azure AI Language Service SDK in C#?

Question 3: Which AI service and feature should the developers implement a read-aloud feature for visually impaired users in their Touch Screen Assistant at retail outlets?

Question 4: Lakeshore Retail wants to analyze tweets about the company to identify key discussion topics. Which endpoint will you use for social media analysis?

Select an answer GET POST PUT DELETE “https:///language/:analyze-text?api-version=2023-04-01" -H "Content-Type: application/json" -H "Ocp-Apim-Subscription-Key: " --data-ascii "{\"kind\":\<" Select an answer NamedEntityRecognitition KeyPhrase Extraction LinkedEntities SentimentAnalysis

","analysisInput":{"documents":[{"id":"documentId","text":""}]}}"

Question 5: How can Lakeshore Retail implement the new requirement for image-based search?

Check Order Help me

Question 6: Which actions from below would you take to fulfill the Business Expansion and Compliance Requirements?
Select 3 correct options from the left column and place it in the right order on the right column

Help me with the correct sequence Show Solution