Customer Review Response Generation

Introduction

Customer Review Response Generation generates personalized response for various types of reviews by deeply analyzing user reviews and star ratings. It optimizes customer interaction, enhances service satisfaction, and ensures that every customer review receives a precise and considerate response.

Use Cases

• For e-commerce platforms or online service providers: This API can be integrated into their customer support systems. The product can help quickly respond to customer feedback, reduce the burden on customer service teams, and improve processing efficiency and user satisfaction.

• For brands using social media: On social media, this API can be used to automatically reply users'comments, demonstrating the brand's attentiveness to user feedback and the professionalism of its customer service.

Samples

Customer Review	Rating	Response
I dont know what the little strainer is for but it's cute and will work for me.	☆☆☆☆	Thank you so much for your positive review! If you have any more thoughts or need assistance, feel free to reach out. Enjoy your new purchase! 🌟
The strainer's purpose was unclear.	☆☆	I'm sorry to hear that the strainer's purpose wasn't clear. We appreciate your feedback and will work on improving our communication. Please contact our customer service for a solution. Thank you.
Very good quality!，but it's too late for my birthday.	☆☆☆	Thank you for praising our quality! We're sorry for the delivery delay and its impact on your birthday. We truly value your feedback and are looking into the issue to prevent future delays. Our sincerest apologies. Belated happy birthday wishes to you!
Not so good packed, the picture of the trophy is remembered by the Bula.	☆	I am very sorry for not satisfying you. Your opinions and feelings will be conveyed to our product team to continue to optimize the product.If you have any questions, you can contact our customer service at any time, and we will solve it for you as soon as possible.Thank you for your support and wish you a happy life~
Cheaply made.	☆☆☆	We understand that our cheap price may not always meet your expectations. Please know that we're committed to providing quality products at affordable prices. It is recommended that you contact online customer service. Wish you a happy life and thank you.

Key Features

1. Supported Language Pairs

The Customer Review Response Generation API enables the generation of native language content in 11 languages, ensuring that the input and output languages remain consistent. More languages are continuously being added. If you have any specific needs, please contact us via navigation bar or email us ([e-mail]).

Language	Language Code
Arabic	ar
Chinese	zh
Dutch	nl
English	en
French	fr
German	de
Japanese	ja
Korean	ko
Portuguese	pt
Spanish	es
Turkish	tr

2. Supported Length of Response

For the length of response, three selectable text lengths are provided: short, medium, and long. Parameter 0 represents a short reply length (5-10 words), parameter 1 represents a medium reply length (15-30 words), and parameter 2 represents a long reply length (30-50 words). You can control the length of the generated review response by inputting different parameters.

Pricing

To use the API, you are required to choose and purchase an API resource pack from us on a subscription basis.

• Each resource pack is valid for one calendar year upon successful purchase, and enables you to access the API up to the number of requests specified in the pack. No refunds can be provided.

• If you need to purchase more QPS due to business requirements, please contact us via navigation bar or email us ([e-mail]).

• Resource packs cannot be used across different products. For example, if you need to use both product text translation and image translation, you must purchase separate resource packs for each.

The prices are as follows:

Capacity	Price (USD)	Unit Price(USD)	Maximum QPS
100,000 requests	700	$7 /1000requests	5
1,000,000 requests	7000	$7 /1000requests	5
10,000,000 requests	70000	$7 /1000requests	5

Quick Start

1. Sample Request

The customer review r///esponse API accepts four key inputs: the content of the review, the star rating, the source language, and the target language. Other optional inputs include: the text length, the category and subcategory of the product, and the platform source. A simple request is shown as follows:

Java

IopClient client = new IopClient(url, appkey, appSecret);
IopRequest request = new IopRequest();
request.setApiName("/ai/review/auto/reply");
request.addApiParameter("commentContent", "very good");
request.addApiParameter("sourceLanguage", "en");
request.addApiParameter("targetLanguage", "en");
request.addApiParameter("replyLenght", "2");
request.addApiParameter("commentStarRating", "5");
request.addApiParameter("productTitle", "38pcs/Strand 13x13mm Starfish Shape Turquoises Beads Loose Spacer Beads Seed Beads for DIY Jewelry Making Bracelet Necklace");
request.addApiParameter("rootCategory", "Jewelry & Accessories");
request.addApiParameter("leafCategory", "Beads");
request.addApiParameter("platformSource", "AE");
request.addApiParameter("extendParams", "{\"\":\"\"}");
IopResponse response = client.execute(request, Protocol.TOP);
System.out.println(response.getBody());
Thread.sleep(10);

2. Sample Response

Based on the input parameters, the API will provide a response. The output format includes the reply text and result information.

Java

{
  "result": {
    "data": {
      "replayContent": [
        "Thank you so much for your positive feedback! We're thrilled to hear you had a great experience."
      ]
    },
    "success": true,
    "resCode": 200,
    "resMessage": "success"
  },
  "code": "0",
  "request_id": "2101725817192364345216241",
  "_trace_id_": "2140dcce17192364345174096eb7f3"
}

FAQ

1. Which platforms does the API support?

It is not dependent on specific platforms. You only need to retrive the original review content, and the response will be generated.

1. Can the API automatically recognize negative reviews?

It can automatically recognize negative reviews and will respond by comforting the customer, offering remedial measures, and improving customer service satisfaction.

1. Can I customize the reply templates?

Custom reply templates are not supported now. It will generate targeted replies based on its database training.