Building a Marketing Tool to generate eCommerce Product Descriptions

2

October

2023

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Today I will share my personal experience about implementing Generative AI for a company I worked for. During my time at the company, I was part of the IT department Solution Team. The marketing department was short on staff and struggled with writing product descriptions for our eCommerce web shop. As a result, the information on our web shop was outdated and new products did not even have product description. Since this could have a negative impact on sales, the marketing manager asked us to find a solution for the problem.

I immediately thought about using a ChatGPT API to automatically generate product descriptions. First, I made a prompt for ChatGPT to test if the AI could generate a ‘good’ product description. The output was evaluated by the Marketing and after some changes the prompt was usable. The second step was to set up a flow in the Enterprise Service Bus (ESB) to make a GET-call with the prompt to the ChatGPT API. The next step was to build a product description generator tool. The prompt needed to be variable and therefore I made a Google Form page, where marketing employees could fill in some variable values in the prompt. For instance, could say like: highlight the sustainable advantages of the product. I also integrated all the Masterdata information about the product in the prompt,  matching each product with its relevant information using unique article numbers. Employees have access to the tool page in the Customer Relationship Management (CRM) portal. The tool page allowed them to simply generate product descriptions in a short time period. The marketing employees only had to fill out the Google Form and hit the action button to receive the desired product description in four languages.

The end result? The process of writing product description was less time consuming and the marketing employees were very pleased with the solution. The production descriptions were not perfect, but after some minor changes they were ready to be put on our eCommerce web shop. In conclusion, the solution made the process less labour intensive, especially since we were short on staff. Every product now has a product description and the outdated product descriptions were renewed. 

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