This Vendor Portal database centralizes vendor management with five connected tables: Vendors, Users, Tasks, Documents, and Invoices. Each vendor company links to team members, assigned tasks, submitted documents, and outstanding invoices—giving you a complete view of every relationship in one place.
The structure enforces proper data organization: vendor status tracking (Under review, Approved, Rejected), automatic categorization of documents by type (Legal, Financial, Compliance), and invoice amount extraction from uploaded files. AI agents automatically classify vendor categories based on descriptions and extract invoice amounts from PDFs, eliminating manual data entry.
Google Sheets breaks down when managing vendors because filtering, saving views, and maintaining structure becomes cumbersome—so teams end up creating multiple tabs for the same vendor data, losing the single source of truth. Columns mix dates with comments and text, formulas break when someone edits the wrong cell, and VLOOKUPs connecting vendor info across tabs become fragile as your vendor list grows.
Softr Databases solve these structural problems by enforcing column types: vendor status as select fields, dates as actual dates, and currency fields that stay numeric. Instead of fragile VLOOKUPs, you get native connections—each vendor links directly to their team members, tasks, documents, and invoices through related records. Rollup fields automatically count open tasks or outstanding invoices per vendor. This follows the principle of one table = one object (Vendors table, Users table, Documents table), making your data app-ready and eliminating the spreadsheet chaos of mixed data types and broken cross-references.
The vendor approval workflow tracks companies from submission through review to approval, with automatic date stamping at each stage. Database AI agents categorize vendors by industry (Equipment, Materials, Catering, Services) based on their descriptions, classify uploaded documents by type, and extract invoice amounts from PDF files—all happening automatically when records are added or updated. Related records connect everything: see which team members belong to each vendor, which tasks are assigned, and which invoices are outstanding, with rollup counts surfacing totals instantly.
Manage vendor and admin profiles with roles, contact info and task links
Store supplier profiles and use AI to automatically categorize business types
Coordinate vendor actions using AI to generate concise titles from descriptions
Archive vendor files and utilize AI for automatic document type classification
Process payments and use AI to extract exact billing amounts from uploaded files
This database helps teams managing external vendor relationships:
Customize the database. Modify the Category select field to match your vendor types—replace Equipment, Materials, Catering with Software, Consulting, Manufacturing if that fits your business. Add custom fields like Contract Renewal Date or Preferred Payment Terms. Since this is a native Softr Database, editing is straightforward and everything stays connected.
Import your existing data. Use CSV import to bring in your current vendor list with company names, contacts, and status. Set up API connections to sync invoice data automatically from your accounting system or pull vendor information from your ERP.
Build an app on top. The logical next step is creating a vendor-facing portal where external vendors can log in, see their assigned tasks, upload required documents, and submit invoices—while your internal team uses an admin view to review submissions and approve vendors. Building these interfaces in Softr connects directly to this database, and users and permissions ensure vendors only see their own data while admins control approval workflows. Because the database is already well-structured with proper relationships between Vendors, Users, Tasks, Documents, and Invoices, building these separate interfaces becomes straightforward—each user group sees exactly what they need without complex filtering logic.
A vendor portal database centralizes all vendor relationship data—company information, contacts, approval status, documents, tasks, and invoices—in one structured system. It replaces scattered spreadsheets and email threads with a single source of truth where both internal teams and external vendors can access relevant information with proper permissions.
No-code databases let procurement and operations teams build production-ready vendor systems in hours instead of waiting months for custom development. You maintain complete autonomy to adjust vendor categories, approval workflows, and document requirements as your business changes, without depending on developers or paying for ongoing technical maintenance.
AI Database co-builder follows your prompts to set up vendor tables, write filters for approved vendors, and create formulas calculating payment terms. Database AI agents work as configurable fields that automatically categorize vendors by industry from their descriptions, classify uploaded documents as Legal, Financial, or Compliance, and extract invoice amounts from PDF files. These agents execute when records are added or updated, eliminating manual data entry while maintaining accuracy.
Yes, using Softr's interface builder you can create separate views for different user groups: an external portal where vendors submit documents and invoices, and an internal admin interface where your team reviews submissions and manages approvals. Permissions ensure vendors only see their own company data and assigned tasks, while procurement teams control approval workflows and access all vendor information across the system.
Yes, free to get started. Databases are included in Softr's free plan, with higher-tier plans offering increased database limits as your vendor network grows. All plans include unlimited collaborators, so your entire procurement team and all vendor contacts can access the system.
Google Sheets forces you to create multiple tabs for the same vendor data because filtering and view management is cumbersome, and columns often contain mixed data types that break formulas. This database enforces structure: vendor status as select fields, dates as actual dates, currency as numbers. Instead of fragile VLOOKUPs connecting vendor info across tabs, you get native related records linking vendors to their team members, tasks, documents, and invoices—relationships that don't break when data changes.