• Pricing
Book a demo

Sync your product catalogs in real-time with your AI agents

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 No more outdated info during customer interactions.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.

Manual catalog updates are error-prone

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  • Outdated product data: Your AI agents offer unavailable products or expired pricing, damaging customer trust.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

What changes with Swiftask

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.

Deploy synchronization in 4 simple steps

STEP 1 : Configure the data source

Connect your product database or API to the Remote Retrieval connector in Swiftask.

STEP 2 : Define the refresh frequency

Choose the synchronization frequency to ensure your agents always have the latest information.

STEP 3 : Map your attributes

Match your source fields to the parameters understood by your AI agents for optimal usage.

STEP 4 : Activate automatic updates

Let Swiftask handle the synchronization. Your agents are updated without any additional human intervention.

Advanced synchronization capabilities

The connector analyzes differences between your source and Swiftask to import only relevant changes.

  • Target connector: The agent performs the right actions in remote retrieval based on event context.
  • Automated actions: Incremental synchronization, REST/GraphQL API support, automatic data validation, version control, detailed synchronization logs.
  • Native governance: Your data consistency is ensured by a built-in validation system before each update.

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.

Why choose Swiftask for your catalogs

1. Data precision

Eliminate entry errors and ensure your AI agents communicate the right prices and stock levels.

2. Productivity gains

Automate a time-consuming task and allow your teams to focus on high-value work.

3. Full scalability

Manage thousands of product references without changing your internal processes.

4. Improved customer experience

Provide reliable and instant answers thanks to always-up-to-date data.

5. Enhanced security

Data access is secured and controlled via API keys and robust authentication protocols.

Data governance and security

Swiftask applies enterprise-grade security standards for your remote retrieval automations.

  • Stream encryption: All data transferred via the connector is encrypted from end to end.
  • Granular control: You decide which data is extracted and which catalog parts are synchronized.
  • Audit logging: Keep a record of every synchronization performed for compliance needs.
  • Robust architecture: Designed to handle large data volumes without impacting your agents' performance.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your operational efficiency

MetricBeforeAfter
Update delaySeveral days (manual)Real-time (automated)
Data error rateHigh (human input)Near zero
Team time spent8h+ / week0h (maintenance only)
Agent reliabilityVariableConstant and accurate

Take action with remote retrieval

Ensure absolute data accuracy across all channels, automatically.

Secure remote data extraction with your AI agents

Next use case