Pricing

Optimize your logistics operations with AddressZen and Swiftask

Swiftask integrates AddressZen to turn your address data into logistics performance. Automate validation and structure your delivery flows seamlessly.

Result:

Drastically reduce delivery errors and optimize operational costs through unmatched data precision.

Inaccurate address data paralyzes your logistics

Logistics management relies on data quality. A poorly entered or incomplete address leads to returns, delivery delays, and increased transport costs. Manual correction is an unacceptable waste of time.

Main negative impacts:

High delivery costs: Address errors multiply delivery attempts and return fees.
Operational time loss: Your teams spend hours manually verifying and correcting customer databases.
Customer dissatisfaction: Delays due to address issues directly degrade your brand image and customer loyalty.

Thanks to the Swiftask + AddressZen integration, your AI agents clean, validate, and geocode your addresses in real-time, ensuring smooth, error-free logistics flows.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask + AddressZen

An order arrives with an incomplete address. The logistics team must contact the customer, wait for a response, and manually correct the database. The package is stuck, and the route is impacted.

With Swiftask + AddressZen

Upon receipt, the AI agent queries AddressZen, instantly corrects the address, and updates your ERP or WMS. The order is ready for shipment without any human intervention.

4 steps to automate your logistics

STEP 1 : Connect AddressZen to Swiftask

Configure the AddressZen connector in your Swiftask interface to access address validation services.

STEP 2 : Define your logistics rules

Create an AI agent tasked with monitoring your order flows and applying AddressZen validation rules.

STEP 3 : Automate data processing

The agent processes each new entry, verifies compliance with AddressZen, and enriches the data if necessary.

STEP 4 : Monitor performance

Track the validation rate and time saved on your Swiftask dashboard.

Key features of the integration

The AI agent analyzes the quality of incoming data and cross-references information with the AddressZen repository.

Target connector: The agent performs the right actions in addresszen based on event context.
Automated actions: Real-time address validation. Precise geocoding. Normalization of address formats according to postal standards. Automatic integration into Transport Management Systems (TMS).
Native governance: All corrections and validations are logged for a complete audit of your logistics flows.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-addresszen@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 this solution?

1. Reduction in delivery errors

Ensure every package arrives at the right destination on the first attempt.

2. Productivity gains

Free your teams from tedious data entry and correction tasks.

3. Reliable data

Maintain a clean and actionable database for your logistics analytics.

4. Rapid deployment

Deploy automation without a single line of code, in just minutes.

5. Scalability

Manage growing order volumes without increasing your logistics headcount.

Security and compliance

Swiftask applies enterprise-grade security standards for your addresszen automations.

Data encryption: All data passing between Swiftask and AddressZen is encrypted.
GDPR compliance: Address data processing respects the strictest privacy standards.

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

RESULTS

Concrete results

Metric	Before	After
Address error rate	10-15%	< 1%
Processing time	Minutes per order	Milliseconds

Take action with addresszen

Drastically reduce delivery errors and optimize operational costs through unmatched data precision.