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›Feed Review

Chapter 1

    Product Overview

    • Unbxd Product Overview
    • Unbxd Technical Product Overview
    • Unbxd Integration Overview

Chapter 2

    Feed Review

    • Feed Review Stages
    • Feed Compatibility Review
    • Feed Product Review
    • Feed Data Integrity Review
    • Feed Logic Review

    Feed & Schema Processing

    • Process Feed
    • Process Schema

    Feed Indexing

    • Feed & Schema Indexing

    Search & Browse API

    • Search & Browse API

Chapter 3

    Analytics

    • Types of analytics integration
    • API based integration
    • JS based integration
    • HTML based integration
    • GTM based integration

Chapter 4

    Recommendation Widgets

    • Recommendation

Chapter 5

    AutoSuggest

    • Types of Autosuggest

Chapter 6

    First Integration

    • Integration Prerequisite
    • Scope of integration
    • Meet Your Customers

Chapter 7

    Inter Team Cordination

    • Inter Team Co-ordination
    • Work with Engineering Team
    • Work with Relevancy Team
    • Work with Quality Assurance Team

Chapter 8

    Take Customer Live

    • Before Go Live
    • Go Live Day
    • Post Go Live

Chapter 9

    Account Handover

    • Account Conversion Numbers
    • Account Handover

Top 100 Issues

  • Top 100 Integration Questions

Feed Business Logic Review

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In this stage of feed review, we try to understand if any business logic customer has suggested for fields like inventory, out of stock, segment pricing, etc. In this phase, our goal is to make sure we have enough information to implement any special logic the customer has asked for.

Usecase

Usecase 1

Requirement from the customer could be to have 3 types of pricing (of a product ) based on the segment to a user belongs.

Pricing segments could be

  • Super Users
  • Regular Users
  • Guest Users

Consider following sample feed


productId,size,title,description,image,categoriesids,price
"098ABD","small","Black Tshirt","Black tshirt made up of cotton", "https://dummyurl.com/black-t-shirt/img.jpg", "home|womens,home|womens|topwear", 100
"4321ANC","small","Pink Tshirt","Pink tshirt made up of cotton", "https://dummyurl.com/pink-t-shirt/img.jpg", "home|insale,home|newproducts", 200
"654AMIT","small","Green Tshirt","Green tshirt made up of cotton", "https://dummyurl.com/green-t-shirt/img.jpg", "home|newproducts",300
"876BCVF","small","Red Tshirt","Red tshirt made up of cotton", "https://dummyurl.com/red-t-shirt/img.jpg", "home|heavydiscounts",400

If you take a closer look at the feed then this feed contains only one price attribute which is not suffice for implementing pricing segmentation. To implement pricing segmenation in the feed we are suppose to have 3 type of pricing for each segmentation of users.

Feed Review Question

How do we determine segmented pricing given just one price information. Feed should be three pricing for each segment of customers.

So sample feed should look like this

productId,size,title,description,image,categoriesids,price_super,price_regular, price_guest
"098ABD","small","Black Tshirt","Black tshirt made up of cotton", "https://dummyurl.com/black-t-shirt/img.jpg", "home|womens,home|womens|topwear", 100,120,150
"4321ANC","small","Pink Tshirt","Pink tshirt made up of cotton", "https://dummyurl.com/pink-t-shirt/img.jpg", "home|insale,home|newproducts", 200,220,250
"654AMIT","small","Green Tshirt","Green tshirt made up of cotton", "https://dummyurl.com/green-t-shirt/img.jpg", "home|newproducts",300,320,350
"876BCVF","small","Red Tshirt","Red tshirt made up of cotton", "https://dummyurl.com/red-t-shirt/img.jpg", "home|heavydiscounts",400,420,450

Usecase 2

Customer want to show discount % across each product on the website.

Following is the feed given by the customer


productId,size,title,description,image,categoriesids,price
"098ABD","small","Black Tshirt","Black tshirt made up of cotton", "https://dummyurl.com/black-t-shirt/img.jpg", "home|womens,home|womens|topwear", 100
"4321ANC","small","Pink Tshirt","Pink tshirt made up of cotton", "https://dummyurl.com/pink-t-shirt/img.jpg", "home|insale,home|newproducts", 200
"654AMIT","small","Green Tshirt","Green tshirt made up of cotton", "https://dummyurl.com/green-t-shirt/img.jpg", "home|newproducts",300
"876BCVF","small","Red Tshirt","Red tshirt made up of cotton", "https://dummyurl.com/red-t-shirt/img.jpg", "home|heavydiscounts",400

As you can see, we just have price across each product and we can not derive %discount just by this. Here we need either selling price so that we can calculate discount or %discount attribute itself. Hence we have a feed review question to ask from the customer

Feed Review Question

To calculate %discount we need either product's selling price or we need this field itself.

Exercise

Exercise 1


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← Feed Data Integrity ReviewProcess Feed →
  • Usecase
    • Usecase 1
    • Usecase 2
  • Exercise
    • Exercise 1
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