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AI and Automation Use Cases for E-commerce

Help e-commerce teams create content faster, understand customers and streamline service and operations.

AI automation use cases at a glance

Alongside these specialised workflows, the general AI and automation use cases can help with everyday documents and messages. The examples below show how to apply similar approaches to your team.

These examples are starting points. Adapt the inputs, integrations and review steps to your process.

Use case 01

AI-generated product description drafts

The problem: Writing engaging descriptions for a large catalogue takes time.

The solution: Draft product descriptions from verified product information.

Example workflow:

  • Collect product specifications and relevant details.
  • Send them to an AI assistant.
  • Generate customer-focused descriptions with clear headings and relevant search terms.
  • Save the drafts in a spreadsheet for validation or publish approved content.

Descriptions can be created or translated into multiple languages.

Use case 02

AI-assisted product imagery

The problem: Producing many product images takes time.

The solution: Generate visual variations from product information and reference images.

Example workflow:

  • Provide product information and references.
  • Prepare prompts for image variations.
  • Generate alternative views or backgrounds.
  • Review and adjust images to ensure they accurately represent the product.

Use case 03

Customer review and sentiment analysis

The problem: Large review volumes make it difficult to understand customer opinions.

The solution: Collect and analyse customer reviews across relevant channels.

Example workflow:

  • Collect reviews and comments from your website, social media and other platforms.
  • Analyse sentiment and recurring themes.
  • Report strengths and areas for improvement.
  • Track changes and send alerts for predefined situations.

Use case 04

Automated returns management

The problem: Managing returns creates operational complexity and costs.

The solution: Coordinate return requests and logistics according to your returns policy.

Example workflow:

  • Collect requests through a website or app form.
  • Analyse reasons and suggest supported options such as replacement or refund.
  • Generate return labels or organise collections through connected systems.
  • Track returns and analyse recurring problems.

Use case 05

E-commerce customer service chatbots

The problem: High enquiry volumes make it difficult to respond consistently and quickly.

The solution: Use chatbots to answer common questions and route exceptions to support.

Example workflow:

  • Develop a chatbot for frequently asked questions.
  • Connect approved information about orders, returns, fees and delivery times.
  • Deploy it on your website or messaging platforms.
  • Answer supported questions and transfer complex requests to the support team.
  • Monitor conversations and improve responses.

Discuss your AI automation opportunities

Tell us about your current process. We can help identify a useful first use case, define the workflow and put it into practice.