
Collaboration and automation across your end-to-end manufacturing ecosystem give you visibility and control to improve manufacturing and performance while reducing costs.
Vendor
e2open
Company Website
E2open Manufacturing Collaboration is a comprehensive solution designed to enhance visibility and control over the entire manufacturing process. It addresses the complexities of global sourcing, contract manufacturing, and operational inefficiencies by providing tools for improved collaboration, automation, and data-driven decision-making. This platform helps organizations streamline their production processes, reduce costs, and increase profitability by eliminating blind spots and improving operational efficiency.
Key Features
Improve Operational Efficiency Enhance manufacturing processes through automated monitoring and adjustments.
- Monitor key metrics automatically
- Course-correct quality, supply, service, and inventory processes
Identify Issues Proactively Detect problems early to minimize production disruptions.
- Reduce scrap and shorten delays
- Address high inventory costs and poor quality
Introduce New Products Faster Accelerate the product introduction cycle with precise data management.
- Ensure accurate transfer and validation of manufacturing instructions
- Significantly reduce cycle times
Eliminate Overpayments Ensure financial accuracy by validating service-based costs against contracts.
- Capture all incurred service costs automatically
- Validate invoices to prevent incorrect charges
Benefits
Enhanced Visibility and Control Gain comprehensive insights into internal and external manufacturing processes.
- Improve decision-making with validated data
- Extend control across all production tiers
Increased Profitability Optimize operations to boost financial outcomes.
- Decrease excess and obsolescence costs by 20-30%
- Improve supply issue response times by 30-50%
Strategic Decision-Making Utilize aggregated data for better strategic planning.
- Eliminate blind spots in decision-making
- Make informed choices based on comprehensive data analysis