Transaction sets are identified by a numeric identifier and a name.
- 204 - Motor Carrier Load Tender
- 990 - Response to a Load Tender
- 214 - Transportation Carrier Shipment Status Message
- 210 - Motor Carrier Freight Details and Invoice
- 850 - Purchase Order
- 855 - Purchase Order Acknowledgment
- 856 - Ship Notice/Manifest
- 810 - Invoice
- 820 - Payment Order/Remittance Advice
- 875 - Grocery Products Purchase Order
- 880 - Grocery Products Invoice
- 997 - Functional Acknowledgment
- Packing SlipsGS1-128 (or UCC-128) Bar Code Shipping Labels
Seamless Integration with Peregrine through Cogential IT
Choosing Cogential IT for your EDI integration needs ensures a hassle-free connection between your back-office systems and Peregrine. Our pre-built connectors support leading ERP, TMS, and WMS systems, facilitating a smooth integration process.
By establishing comprehensive, end-to-end B2B integration flows, your business can streamline operations, enhance order management, and optimize inventory and shipment handling. Trust Cogential IT to provide the robust and efficient integration solutions you need to stay competitive.
About Peregrine Technologies
Peregrine Technologies is a cutting-edge software company specializing in providing advanced data analytics and AI-driven solutions. Their mission is to empower organizations by transforming raw data into actionable insights, facilitating smarter decision-making processes.
Services Offered
- Data Analytics: Comprehensive data analysis services to derive meaningful insights from complex datasets.
- AI Solutions: Custom AI-driven solutions tailored to address specific business challenges.
- Machine Learning: Implementation of machine learning algorithms to optimize business processes and predictions.
- Consulting: Expert consulting services to guide organizations through their data transformation journey.
Industries Served
- Healthcare: Providing AI and data analytics solutions to enhance patient care and operational efficiency.
- Finance: Offering advanced analytics to improve risk management and financial decision-making.
- Retail: Utilizing machine learning to drive sales, enhance customer experience, and optimize inventory management.
- Manufacturing: Implementing predictive analytics for improved production efficiency and quality control.