AI Store Employee & MemoryDeveloperAdvanced

AI Assistant Memory, Fact Candidate Review & Cognitive Settings

Discover how Conversora's long-term semantic memory remembers customer preferences and stages learned facts for merchant review.

6 min readUpdated 2026-09-18
In This Guide
  • Understand how Aura remembers customer preferences (sizing, color choices, past purchases) across conversations.
  • Audit and approve AI-discovered 'Fact Candidates' in the merchant staging queue before they become permanent memory.
  • Configure cognitive memory parameters including retention duration and auto-pruning rules.
  • Comply with customer privacy and GDPR/local regulations with one-click customer memory deletion.
Prerequisites

Before configuring this feature, confirm that your store meets the following requirements:

AI Employee Activated:AI Employee configured and receiving customer conversations.
conversora.io/admin/ai-employee
AI Assistant Memory, Fact Candidate Review & Cognitive Settings
Click to enlarge

Interface view for this workflow.

1. Reviewing & Approving Fact Candidates

To ensure memory remains accurate and free of noise, Conversora provides a 'Fact Candidate' review queue. Here, you can review statements the AI deduced during customer conversations before they are committed to permanent memory.

For example, if a customer said 'I am buying this shirt for my husband who is 6 feet tall', the AI might propose the fact: 'Customer's husband is 6ft tall, wears XL'. You can verify the accuracy with one click.

1

Open Memory Review Queue

From the admin console, navigate to AI Employee and select 'Memory & Learning'.

Path:Admin Sidebar → AI Employee → Memory
2

Inspect Pending Candidates

Review the list of proposed facts, including the customer name, source conversation snippet, and proposed memory.

Path:Memory Workspace → Fact Candidates Tab
3

Approve or Discard

Click 'Approve' to index the memory, or 'Discard' to permanently delete the candidate.

Path:Candidate Card → Approve / Discard Action
Pro Tip

You can enable 'Auto-Approve Low Risk Facts' (such as standard clothing sizes) in Cognitive Settings to save time on routine approvals.

2. Customer Privacy & Memory Deletion

Respecting customer privacy is paramount. If a customer requests that their personal information or memory history be deleted, Conversora enables instant compliance.

Deleting a customer's memory purges all associated vector records from Cloudflare Vectorize and removes customer attribute records from the database immediately.

1

Locate Customer Record

Search for the customer in the Customers list or directly inside the Omnichannel Inbox.

Path:Admin Sidebar → Customers → Search Customer
2

Click 'Clear AI Memory'

In the customer profile card, select 'Clear AI Memory' and confirm.

Path:Customer Details → Privacy & Data → Clear AI Memory

Practical Business Scenarios

How leading merchants implement this functionality in daily operations:

Returning Fashion Shopper
Situation: A shopper who previously purchased a Size Small blazer returns to ask about a new jumpsuit.
Best practice: Aura accesses customer memory, greets them warmly, and advises: 'Based on your previous Size Small blazer, the Size Small jumpsuit will fit you perfectly!' This dramatically boosts conversion.

Troubleshooting & Common Issues

Diagnose and resolve frequent failure points quickly:

Problem: Fact candidate queue shows zero proposed facts after dozens of chats
Why this occurs: Memory Learning is set to 'Disabled' in Cognitive Settings.
Resolution: Navigate to AI Employee > Memory > Cognitive Settings and ensure 'Continuous Preference Learning' is toggled to ON.

Frequently Asked Questions

Is customer memory shared across different merchant stores?

Never. Memory vectors are strictly partitioned by storeId. A customer's preferences in Store A are completely invisible to Store B.