Analyze customer feedback in the Retail industry

Analyze text-based, unstructured customer feedback from multiple sources, according to dimensions relevant to the Retail industry.

Top Benefits

  • Easily embed unstructured customer feedback into your processes.
  • Analysis based on retail industry-specific dimensions: companies, products, operations, service activity.
  • Includes positive/negative/neutral polarity analysis by category and a specific dimension of customer satisfaction.
  • High out of the box accuracy and relevance, with no need for coding.

Tasks

  • Analyze open-ended responses and free-form comments from customer surveys, contact center interactions and social media.
  • Enrich internal systems with industry-oriented customer feedback analysis.
  • Obtain the full analysis of the Voice of the Customer categorization in Retail.

Companies can no longer afford to ignore customer feedback coming via unstructured channels and comments: interviews, open-ended survey responses, contact center interactions (email, phone, chat), social conversations. These comments possess a level of spontaneity and often include references to the root causes of the problems that make them particularly valuable.

However, in order to embed this information automatically into the company's processes and enable them to effectively take this feedback into account, it is necessary to perform an analysis that is highly adapted to this domain.

This bot uses MeaningCloud's semantic analysis APIs and the predefined models of its Vertical Pack for the analysis of the Voice of the Customer in Retail to implement a customer feedback analysis very adapted to this industry.

The bot receives the text of an unstructured comment and returns a multilevel categorization based on typical categories of the retail industry: companies, products, operations, customer service activities, interaction channels, quality parameters. In addition, the bot can return a positive/negative/neutral polarity analysis related to these categories and a specific customer satisfaction dimension. The bot will also output the JSON with the complete analysis returned by the API.

The bot enables the immediate analysis of customer feedback in the retail industry with high relevance and accuracy and without the need to develop specific domain configurations. In this way, that feedback can be embedded into the company's processes and enrich its internal systems (CRM, marketing automation) with very valuable information about the needs, perceptions and preferences of customers.

Get Bot

Free

Bot Security Program
Level 1
Applications
Business Process
Category
Vendor
Automation Type
Bot
Last Updated
July 24, 2020
First Published
March 2, 2020
Enterprise Version
11.x
ReadMe
ReadMe
Support

Setup Process

Install

Download the Bot and follow the instructions to install it in your AAE Control Room.

Configure

Open the Bot to configure your username and other settings the Bot will need (see the Installation Guide or ReadMe for details.)

Run

That's it - now the Bot is ready to get going!

Requirements and Inputs

  • Access to MeaningCloud Deep Categorization 1.0 (MeaningCloud account)
  • Access to the Voice of the Customer vertical pack (MeaningCloud)
  • Input a UTF-8 text