Navigating Business Operations with the Pimcore Copilot - Part 2

Learn how the Pimcore Copilot helps create text variations for various output channels.
Navigating Business Operations with the Pimcore Copilot - Part 2 - Impression #1

In the dynamic and multi-channel world of business communication, the way you describe your products or services can significantly impact your market reach and customer engagement. However, catering to the varied demands of different channels can be daunting. In this episode of our blog series, we show you how the Pimcore Copilot helps create text variations for various output channels.

Understanding the Challenge of Multi-Channel Text Creation

Imagine manually creating and updating countless text variants for each channel. This labor-intensive process is time-consuming and prone to errors and inconsistencies, which can detract from your brand's message and professionalism. It can slow down your operations and increase the time to market, potentially causing you to miss out on valuable opportunities.

Each channel has unique text requirements, whether a digital marketplace, SEO, or even targeted business proposals. For instance, SEO demands clear, structured text, marketplaces might have specific length limits, and proposals need a more tailored approach.

Enter Pimcore Copilot: A Game-Changer in Automation

The Pimcore Copilot is your partner in seamlessly navigating the complexities of content creation across various platforms. This sophisticated system allows businesses to automate the generation of text variations, ensuring that each piece of content is perfectly tailored to meet the specific requirements of different channels. By dramatically speeding up the time to market, the Pimcore Copilot enhances your productivity and the quality of the delivered data while maintaining a consistent brand voice.

How Does It Work?

Configuring Pimcore Copilot is straightforward and doesn't require you to be tech-savvy. To create a new action, simply follow these steps:

  1. Active the Copilot: Start by pressing 'ALT' + 'X' while in the Pimcore backend.
  2. Add a New Action: Create a new automation action in the Pimcore backend.
  3. Define Activation: Choose whether this action should be triggered manually on specific objects or automatically on a predefined set of objects.
  4. Customize Action Steps: Add different steps within the action to generate the desired variations of your text.
  5. Set Permissions: Define who in your organization has permission to create or modify these actions.

Video: How to Execute Actions (1 min.)

This video demonstrates how to use Pimcore Copilot to generate multiple text variants of a single product description, each optimized for different marketing channels.

Video: How to Configure Actions (3 min.)

This video showcases how to configure Pimcore Copilot to create tailored variations of a product description for different audiences and purposes.

The Power of Automation & AI in Your Hands

In the following example, we use three different steps to generate text variations, leveraging AI technology for precise results. You have the flexibility to decide how many variations you need and tailor the process to suit your specific requirements. These steps are also adaptable to multiple languages, making them versatile for any business context.

The Pimcore Copilot leverages these steps with cutting-edge AI models from Hugging Face.
AI-based text generation uses advanced models to create human-like text based on input prompts. Leveraging deep learning, these models can produce varied text types, from creative writing to technical documents. They predict and generate subsequent words in a sequence to form coherent and contextually relevant sentences. Key applications include chatbots, content creation, and language translation. For instance, Hugging Face’s Transformers library provides robust tools for training and deploying these models, offering capabilities like fine-tuning specific tasks, handling large datasets, and integrating with various frameworks.

If you want to dive deeper, there are various models like Mistral, llama, or Phi with specific characteristics to choose from. In addition, there are different possibilities for the inference. You can use the public inference API or dedicated endpoints. The Pimcore Copilot could further be extended to also utilize other models like OpenAI, Google Gemini, or Claude from Anthropic.

Here is just a glimpse of what is possible with it:

  • Shorten or expand texts to fit different platforms.
  • Optimize content for SEO to boost your online visibility.
  • Generate new texts from existing data fields or attributes.
  • Tailor content for specific target groups, enhancing personalization.

Don´t worry—you do not need to start from scratch! Within the Pimcore Copilot, predefined action steps are already available and can be customized based on your requirements. This further enables you to quickly search for and execute specific actions, making your work process faster and more efficient. Once you start using it, you’ll wonder how you managed without it before!

Did you know?

With the Pimcore Copilot, you can easily search for and execute menu entries to speed up your work within the Pimcore backend. You can search for specific menu entries or use groups of menu entries to find the desired result.

Once you get used to this innovative new feature, you won't want to miss it anymore.

The Future of Text Automation

Pimcore Copilot offers a remarkable solution that speeds up content creation across various channels and enhances the quality and consistency of the outputs. It’s an invaluable tool for any business looking to scale up its content operations without compromising quality.

Ready to explore more about how Pimcore Copilot can revolutionize your content strategy? Stay tuned for our next blog post for this series!

If you want to explore the available action steps and configuration options in depth, please visit our developer documentation.

If you want to follow along or help out, check out our blog section on a regular basis. You can also follow the development in real-time on GitHub.

Author:Patrick Heigl
Patrick Heigl
  • Product Manager
3 articles by this author

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