Swiftask's Remote Retrieval connector feeds your AI agents with the latest data from your catalogs. No more outdated info during customer interactions.
Result:
Ensure absolute data accuracy across all channels, automatically.
AI Agents
remote retrieval
Connector remote retrieval · Secure OAuth 2.0
Keeping a product catalog up to date in an AI agent is a major challenge. With changing prices, stockouts, and new references, manual entry is inefficient and leads to costly errors for the customer experience.
Main negative impacts:
Outdated product data
Your AI agents offer unavailable products or expired pricing, damaging customer trust.
Heavy manual management
Your teams spend valuable time updating databases instead of focusing on strategy.
Multi-channel misalignment
Information varies between your website, your CRM, and the answers provided by your AI agents.
With the Remote Retrieval connector, Swiftask connects to your data sources to automatically synchronize your catalog. Your AI agents always access the most recent version of your information.
BEFORE / AFTER
The classic management
A new product line arrives. A team member exports a CSV file, cleans it, then attempts to manually update each agent's knowledge base. The process is slow, prone to errors, and not scalable.
The Swiftask approach
The Remote Retrieval connector queries your source of truth at regular intervals. As soon as a change is detected, your catalog is updated in Swiftask. Your AI agents immediately use the new data.
1
STEP 1 : Configure the data source
Connect your product database or API to the Remote Retrieval connector in Swiftask.
2
STEP 2 : Define the refresh frequency
Choose the synchronization frequency to ensure your agents always have the latest information.
3
STEP 3 : Map your attributes
Match your source fields to the parameters understood by your AI agents for optimal usage.
4
STEP 4 : Activate automatic updates
Let Swiftask handle the synchronization. Your agents are updated without any additional human intervention.
The connector analyzes differences between your source and Swiftask to import only relevant changes.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-remote-retrieval@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Eliminate entry errors and ensure your AI agents communicate the right prices and stock levels.
Automate a time-consuming task and allow your teams to focus on high-value work.
Manage thousands of product references without changing your internal processes.
Provide reliable and instant answers thanks to always-up-to-date data.
Data access is secured and controlled via API keys and robust authentication protocols.
Swiftask applies enterprise-grade security standards for your remote retrieval automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Update delay | Several days (manual) | Real-time (automated) |
| Data error rate | High (human input) | Near zero |
| Team time spent | 8h+ / week | 0h (maintenance only) |
| Agent reliability | Variable | Constant and accurate |
Ensure absolute data accuracy across all channels, automatically.