Key Capabilities
Fulfillment Health Score: A real-time diagnostic score representing the health of your fulfillment operations based on metrics such as cost, time, reliability, and split shipments. AI Recommendations: fabric’s AI identifies inefficiencies and suggests fulfillment rule changes to improve performance and reduce cost-to-serve. Parallel Simulations: Run up to three test scenarios to preview performance versus your live configuration before committing any changes. Dynamic Activation: With one click, deploy new rules directly to your order flow. All future orders will use the updated logic. Continuous Monitoring: Even after deployment, the system continues to monitor fulfillment outcomes and flags new opportunities for improvement.The Fulfillment Health Score
This score is built using key performance indicators, including: Split Shipments: The percentage of orders requiring multiple packages. Distance Traveled: Average shipping distance from fulfillment center to customer. Fulfillment Time: The average time it takes to process and ship an order. Delayed Shipments: The percentage of orders that are delayed relative to the expected average. Fulfillment Cost: The average cost incurred to process and deliver an order. Cancellation Rate: The rate of unfulfilled or canceled orders. These metrics are weighted to reflect their impact on speed, cost, and customer experience.Dashboard Features and Score Breakdown
Score Breakdown: Visual representation of score components. Historical & Benchmark Comparisons: Track performance over time and against industry baselines. Rule Visibility: View and manage your current active routing rules.How it works
- Connect your data to visualize current fulfillment efficiency and identify top optimization areas.
- Test and simulate new routing strategies such as modifying shipping zones and see the projected impact.
- Deploy improved rules with no custom engineering required.
Use Cases
- Brands managing multi-node fulfillment networks across warehouses and 3PLs.
- Shopify merchants seeking to reduce shipping costs and increase delivery speed.
- Direct-to-consumer businesses wanting to automate fulfillment decisions using AI.
- Operations teams looking for low-code tools to test and optimize fulfillment rules.