Vendor scorecard reporting
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How to automate creating a vendor scorecard
Managing on-time, in-full (OTIF) delivery rates is critical for maintaining strong relationships with retail channels and wholesale partners. However, tracking performance metrics like shipment timeliness and fulfillment accuracy can be a complex and manual process, especially when dealing with high volumes of data from multiple orders, POs, and SKUs. By automating your vendor scorecarding process, your team can have real-time visibility into KPIs across your vendor network — enabling you to make proactive decisions and address vendor issues as they occur.
With Parabola, you can create vendor scorecards that consider everything from on-time delivery and defect rates to cost variances and transit times. Build a comprehensive reporting dashboard to compare performance across vendors, and trigger email and Slack updates to the team to provide consistent visibility into vendor performance.
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Why Parabola
Parabola has provided a sense of ownership over workflows to my staff and has given us back 28 hours of time per month to apply toward critical growth initiatives.
Creating a vendor scorecard is the process of evaluating vendor performance across key metrics such as on-time, in-full (OTIF) delivery rates, defect rates, cost variances, and transit times. These scorecards provide visibility into vendor reliability and fulfillment accuracy, enabling teams to compare performance across suppliers and address issues proactively. Automating the vendor scorecarding process ensures real-time tracking of KPIs, helping businesses maintain strong relationships with retail and wholesale partners while optimizing supply chain performance.
- Import key datasets into Parabola using steps like Pull from CSV file, Pull from Netsuite, and Pull from PDF file. Consider datasets like POs, receipts, invoices, and shipment details.
- Clean and standardize your data using steps like Edit columns and Standardize with AI to ensure data properly maps to your internal format across vendors and datasources.
- Calculate metrics like OTIF rate by applying steps like Sum by group and Add math column.
- Combine data across siloed sources based on identifiers like vendor and PO number.
- Once your data has been cleaned, combined, and aggregated for wholesale partners and retail channels, create a reporting dashboard using Parabola’s Visualize step and Parabola Tables.
- Map out your desired final output before building your vendor scorecard Flow. Determine which KPIs are most critical for your team, and then work backwards to understand which dataset(s) you’ll need to calculate each metric.
- Standardize key fields like SKUs and dates early in your flow to ensure clean, accurate metrics.
- Incorporate data from PDFs using the Pull from inbound email step, which leverages AI to extract key details from PDFs.
- Use Sum by group and Add math column to calculate and aggregate OTIF metrics across POs, SKUs, and channels.
- Build specific visualizations for retail and wholesale channels to identify areas for improvement.
- Leverage dashboards to communicate scorecarding metrics in a clear and actionable format for internal teams and partners.
- In your reporting dashboard, you have the ability to filter by vendor. Many teams will choose to create a comprehensive dashboard to report on all vendors, and then create specific, filtered-down views to analyze performance for specific vendor.
- To start building your vendor scorecarding Flow, use the Template above and check out Parabola University.
- Learn more about how to set up an auto-forwarding rule in Parabola here.
