This template gives procurement teams a centralized system to track vendor performance, manage contracts, and score evaluations consistently.
It connects four dedicated tables: Suppliers, Evaluations, Contracts, and Users. Each assessment automatically links to the right vendor and evaluator, preventing broken records and duplicate entries.
Built-in AI fields research company websites to generate vendor descriptions, summarize evaluation scorecards automatically, and classify contract risk levels.
When vendor evaluations live in disconnected workbooks, each evaluator creates their own copy. Files get emailed back and forth, updates get overwritten during manual consolidation, and sensitive contract values end up in the wrong hands.
A dedicated database keeps a single source of truth where every score, date, and contract value stays in a typed field that cannot be corrupted accidentally.
Instead of copying supplier details across multiple sheets, each evaluation links natively to the exact vendor record. While you can connect an online Excel file to Softr as a remote data source, running your workflow directly in Softr Databases ensures real-time updates and complete data integrity.
Log detailed scorecard ratings for quality, delivery, and pricing while automatically generating executive summaries using Database AI agents.
Track upcoming contract expiration dates, monitor risk tiers across active agreements, and assign internal owners to keep every supplier relationship accountable.
Manage internal procurement team members, roles, and supplier assignments
Track vendor details, status, and AI-generated web company profiles
Score vendor performance across key metrics with AI summary insights
Monitor supplier agreements, timelines, values, and AI risk scoring
This template is designed for operations and purchasing teams that need structured vendor oversight without manual spreadsheet maintenance:
Customize the database by modifying evaluation score metrics, adding custom risk tiers, or adjusting vendor status categories to match your procurement policy in seconds.
Import your existing supplier records and historical reviews instantly using CSV upload or connect automated feeds via API.
When you are ready, build an app on top of your data in minutes using Softr's AI Co-Builder. You can set up granular users and permissions so evaluators only see their assigned reviews while procurement leads access full contract terms.
A supplier evaluation database is a structured system used to track vendor profiles, score performance metrics, and monitor contracts in one centralized hub. It replaces static review sheets with connected records that keep scores, evaluator notes, and agreement terms organized.
A no-code database lets procurement teams deploy a tailored vendor tracking tool without writing code or waiting on IT. It enforces data types, links evaluations directly to suppliers, and allows instant customization as your vendor review processes evolve.
AI assists by researching vendor websites to write company overviews, analyzing numerical scores alongside notes to draft evaluation summaries, and classifying contract risk levels automatically. With Database AI agents, these tasks run on specific triggers, such as when a new review is submitted.
Yes, you can generate an internal procurement portal by using Softr's AI app generator directly on top of this database. You can define distinct role-based interfaces so external vendors submit documents while internal managers score evaluations privately.
Yes, this database template is completely free to copy and use within Softr. Softr includes databases on all plans, and you can invite unlimited collaborators to view and manage your data without per-seat charges.
Unlike static spreadsheet workbooks that duplicate across emails and risk formula errors, this database links reviews directly to vendor records in a secure environment. It prevents accidental row deletion, supports native AI enrichment, and powers interactive apps with role-based access control.
Build and launch your first app in under 30 minutes.