Pricing

Secure your Go-UPC data: automated AI error detection

Swiftask continuously analyzes your Go-UPC data streams. Identify and fix entry errors before they compromise your product catalog.

Result:

Ensure perfect product data integrity and eliminate costly manual corrections.

Data entry errors in Go-UPC are expensive

Manual data management in Go-UPC is prone to human error: typos, incorrect codes, incomplete descriptions. These mistakes propagate throughout your supply chain, impacting sales and brand reputation.

Main negative impacts:

Corrupted product data: A single entry error can make a product unsearchable or miscategorized, directly impacting your conversion rate.
Manual correction overhead: Identifying errors after the fact requires significant time for manual auditing and correction within Go-UPC.
Compliance risks: Erroneous information can lead to compliance issues with distributors or e-commerce platforms.

Swiftask integrates with Go-UPC to apply intelligent validation rules. Our AI monitors every entry, detects anomalies in real-time, and alerts you before final validation.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

An operator enters product data into Go-UPC. A typo in an EAN code goes unnoticed. The product is rejected by the logistics platform two days later. This leads to tedious research, manual correction, and delayed product launches.

With Swiftask + Go-UPC

As soon as data is entered or imported into Go-UPC, the Swiftask agent analyzes it. It immediately detects the EAN code inconsistency against standards. An alert is instantly sent to the operator for immediate correction, before any propagation.

4 steps to secure your Go-UPC data

STEP 1 : Connect your Go-UPC instance

Link your Go-UPC account to Swiftask via our secure connector. No changes to your existing architecture are required.

STEP 2 : Define your validation rules

Configure quality criteria: code formats, mandatory fields, description consistency. The AI learns your standards.

STEP 3 : Activate real-time monitoring

The AI agent proactively analyzes every new entry or update in Go-UPC.

STEP 4 : Manage alerts and corrections

Receive immediate notifications for every anomaly detected, with automated correction suggestions.

AI analysis capabilities for Go-UPC

The agent evaluates semantic compliance, format structures (EAN, SKU), and data consistency against your historical records.

Target connector: The agent performs the right actions in go-upc based on event context.
Automated actions: Automatic typo detection. Cross-validation of product data. Instant alerts via email or Teams. Weekly error reporting. Intelligent correction suggestions based on context.
Native governance: All validations are documented in an audit log accessible from your Swiftask workspace.

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

Each Swiftask agent uses a dedicated identity (e.g. agent-go-upc@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 data

1. Guaranteed data quality

Drastically reduce the error rate in your Go-UPC database.

2. Operational time savings

No more exhaustive manual product sheet verification.

3. Cost reduction

Avoid losses related to referencing errors and logistics returns.

4. Simplified compliance

Maintain your data to industry standards without extra effort.

5. Fast deployment

A no-code solution that adapts to your existing processes in hours.

Security and data protection

Swiftask applies enterprise-grade security standards for your go-upc automations.

Encrypted API connection: Your interactions with Go-UPC are secured by end-to-end encryption protocols.
Strict confidentiality: Swiftask does not store your sensitive data beyond what is necessary for validation processing.
Granular access control: Precisely define which employees can manage validation rules in Swiftask.
GDPR compliance: Our infrastructure meets the highest standards for data protection.

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

RESULTS

Impact on your productivity

Metric	Before	After
Data entry error rate	5% to 10%	Less than 0.1%
Correction time	Several hours per week	Minutes (targeted alert)
Catalog reliability	Variable	Standardized and constant

Take action with go-upc

Ensure perfect product data integrity and eliminate costly manual corrections.