Contact Form Text Classifier for eCommerce

This workflow automates the processing of customer contact forms, using intelligent text classification to categorize messages into five types, thereby enhancing the customer service efficiency of e-commerce businesses. The information submitted by customers is classified immediately upon receipt, and the system automatically sends customized emails to the relevant departments while saving the data to Google Sheets for easier management and analysis. This process effectively addresses the issues of chaotic information classification and delayed responses, making it suitable for e-commerce platforms, customer service teams, and any organization that needs to efficiently handle customer requests.

Workflow Diagram
Contact Form Text Classifier for eCommerce Workflow diagram

Workflow Name

Contact Form Text Classifier for eCommerce

Key Features and Highlights

This workflow is triggered by form submissions to automatically collect customer contact details and message content. It leverages the OpenAI GPT-4o-mini model for text classification, intelligently categorizing customer messages into five main categories: "Quote Requests," "Product Information," "FAQs," "Order Information," and "Others." After classification, the system automatically sends customized emails to the corresponding departments and synchronizes the information into Google Sheets for easy management and analysis.

Core Problems Addressed

This workflow addresses the challenges faced by eCommerce businesses and customer service teams in handling large volumes of customer contact forms, where information classification is often chaotic and response efficiency is low. By automating classification and distribution, it reduces manual judgment and sorting time, thereby improving the speed and accuracy of customer request processing.

Application Scenarios

  • Automating customer support on eCommerce platforms
  • Rapid distribution of product inquiries and quote requests
  • Automatic categorization and handling of order-related issues
  • Unified management of customer information across multiple departments
  • Quick integration of customer information processing via any website form (e.g., WordPress CF7 plugin)

Main Process Steps

  1. Customers submit their name, email, and message through a web contact form.
  2. The workflow is triggered via a webhook that receives the form data.
  3. The OpenAI language model performs intelligent classification of the message text.
  4. Based on the classification results, customized email notifications are automatically sent to the relevant departments.
  5. The categorized customer information is synchronized and stored in corresponding Google Sheets for archiving and management.
  6. Supports extensibility to replace the email sending node (e.g., Gmail, Outlook) and database storage tools.

Involved Systems and Services

  • Webhook (to receive external form data)
  • OpenAI GPT-4o-mini model (text classification)
  • SMTP email service (automatic email notifications)
  • Google Sheets (storage of categorized customer information)
  • Compatible with any external form tools (e.g., WordPress CF7)

Target Users and Value

  • eCommerce customer service teams: Enhance efficiency in handling customer requests and reduce manual classification workload.
  • Customer service automation solution designers: Quickly build integrated workflows for intelligent classification and email distribution of customer information.
  • Product management and sales departments: Obtain accurately categorized customer needs in real time for prompt response.
  • Any enterprise or organization requiring intelligent classification and automatic distribution of user messages.

This workflow is easy to use and highly customizable, making it an ideal solution for eCommerce and customer support teams seeking to automate and intelligently manage their business processes.