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New Feature! Clear AI Memory And Filter Chat History By Site

New Feature! Clear AI Memory And Filter Chat History By Site

Getting fresh, accurate data to your AI chatbot is crucial for providing the right answers and building customer trust. To keep your customer experience sharp, you need tools to clear AI memory when context changes and to review conversations efficiently.

The core challenge is that old data can lead to stale answers. An AI chatbot that remembers last month’s sale can confuse today’s shoppers. Likewise, reviewing chat logs is difficult when conversations from all your storefronts are mixed together.

That’s why we’re excited to announce two new admin controls for StoreAgent Chat: the ability to Clear AI Memory per site and a new option to Filter Chat History by Site.

This powerful new feature for our WordPress Chatbot plugin gives you practical governance tools that are built directly into your dashboard. You can now ensure your chatbot’s knowledge stays current and that your reviews are fast and focused!

Why Admin Control Over AI Data Is Critical

One of the main benefits of using AI chatbots is their ability to provide instant, helpful answers. However, their effectiveness plummets if they are working from outdated information.

StoreAgent Chat new feature interface showing clear AI memory and chat history filter by site for better WooCommerce AI governance
New features let you clear AI memory and filter chat history by storefront in StoreAgent Chat to ensure fresh context and efficient reviews

Your chatbot’s data hygiene directly impacts accuracy, customer trust, and the quality of support you provide.

  • Accuracy vs. Momentum: A chatbot learns from conversations, but that momentum can become a problem when your business changes. Old context can lead to incorrect answers about pricing, policies, or product availability. The ability to perform an AI chatbot data reset is essential.
  • The Multi-store challenge: If you run multiple websites, reviewing chat performance can be slow and inefficient. Without a site-level chat history filter, you have to manually sort through conversations to find what’s relevant to a specific brand or region.
  • Faster QA and coaching: Effective chatbot admin controls allow your team to quickly spot issues, identify coaching opportunities for agents, and improve your automated responses based on real-world conversations from a specific store.

How To Use Your New Admin Controls In StoreAgent

Getting started with these new governance tools is simple. You don’t need any technical expertise to configure and manage them within your StoreAgent dashboard.

How to Clear AI Memory

StoreAgent dashboard page highlighting clear AI memory button next to a connected site domain in the wordpress chatbot plugin
Clear AI Memory with one click from the Connected Sites section to reset chatbot context for each store click to zoom
  1. Log in to your account at app.storeagent.ai.
  2. Navigate to My Account and then to the Connected Sites section.
  3. Find the site you wish to manage and click the Clear AI Memory button.
  4. Confirm the action.

That’s it! Your site’s AI memory will be reset instantly.

How to Filter Chat History

StoreAgent Chat History page showing conversation filtering by domain and date range for targeted WooCommerce chatbot admin
Filter chat history by site using dropdowns and date filters to audit conversations specific to each storefront click to zoom
  1. From your dashboard at app.storeagent.ai, navigate to My Account and then to Chat History.
  2. At the top of the page, you will see a new All Domains dropdown menu.
  3. Select the storefront you want to review. The conversation list will update instantly.
  4. You can layer this filter with the date range filters for even more granular analysis.

Pretty straightforward, right?

The real strength of this feature is that it helps you focus exactly on the conversations that matter most for your storefronts, making audits and coaching much more efficient.

Best Practices For AI Data Governance

While you should always test what works for your store, here are our recommendations for getting the most out of these new controls.

best practices for AI data governance including when to clear AI memory and how to review chat history
Top best practices for AI data governance monthly memory clears weekly chat history reviews and light audit rubrics click to zoom
  • For clearing AI memory
    • We recommend you clear AI memory after any major business change. This includes ending a large sale, updating your return policy, or overhauling a product category.
    • A good rule of thumb is to perform a quick review once a month. Ask yourself: “Has anything changed that would make the chatbot’s old knowledge incorrect?” If the answer is yes, a reset is a good idea.
  • For reviewing history
    • We recommend using the site-level chat history filter to perform a quick review on a weekly basis. Look for common unanswered questions or points of friction.
    • Use this focused view to create training examples for your support team or to identify product descriptions that need more clarity.

Conclusion

A great chatbot for customer support does more than just answer questions; it provides a reliable and trustworthy experience that reflects the current state of your business.

With StoreAgent’s new admin controls, you have the power to maintain that trust by ensuring your chatbot’s knowledge is always fresh and your reviews are always efficient.

In this article, we covered:

By taking a few moments to filter chat history by site for weekly reviews and to clear AI memory after important changes, you create a more helpful, accurate, and effective experience for your customers.

These new features are a powerful step toward building more trust and driving more sales with your Woocommerce AI tools.

Ready to take control of your chatbot’s data? Explore our pricing plans to find the perfect StoreAgent solution for your business.

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Katrine Villanueva Writer, Content Manager
StoreAgent

AI Chat.
AI Content.
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