This article explores the powerful features of GelatoConnect, designed to optimize your production processes, ensuring you meet your service level agreements (SLAs) and maintain high-quality control standards. We'll delve into managing SLAs, handling reprints, improving dispatch and staffing, and implementing robust QC measures.
Managing SLAs and Dispatching Orders
During peak seasons, keeping up with SLAs can be challenging. GelatoConnect provides tools to manage dispatch and ensure SLA compliance.
Set SLAs Per Customer:
Configure SLAs within the system based on customer requirements. All metrics, dashboards, and reports will align with these SLAs.
Monitor Dispatch Overview:
Use the dispatch overview to identify any delayed orders and prioritize them. Filter by product type to focus on specific formats (e.g., flat formats).
Production Flow and Automation
Once orders are prioritized, GelatoConnect’s production flow tools help manage reprints and streamline order dispatch.
Automated Plate Creation:
Select the necessary formats and build plates with a few clicks. Plates can be sent to the FTP for seamless machine transfer and automated processing.
Using the Dispatch Algorithm:
The dispatch algorithm allows you to plan staffing based on incoming order volume. By viewing historical and future order data, you can proactively adjust staffing for peak periods.
Quality Control (QC)
Quality control is essential for maintaining customer satisfaction, especially during busy seasons. GelatoConnect supports QC through barcode scanning, automated camera checks, and manual verification.
Barcode Scanning and Manual Checks:
Use barcodes to confirm product details before dispatch. Automated camera QC is available to streamline this process, or you can manually verify the product’s quality and accuracy.
Packaging and Shipping Accuracy:
Ensure all items in an order are packed correctly. GelatoConnect provides alerts for orders with multiple items, ensuring completeness before shipment.
AI-Powered Address Validation:
An AI-powered address validation engine minimizes shipping errors. This feature has reduced shipping costs for customers by up to 17%, as incorrect addresses are flagged before dispatch.
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