This template centralizes your entire purchasing process, keeping teams aligned on requests, vendor details, and approvals.
It connects four dedicated tables—Users, Customers, Vendors, and Procurement Requests—so you can link orders directly to specific suppliers and assign managers instantly.
Built-in AI agents automatically assess financial risks, classify vendors, and summarize customer details straight from the web.
Managing hardware, software, and consulting requests across scattered spreadsheet tabs quickly turns into an administrative nightmare.
Spreadsheets rely on fragile VLOOKUPs to match vendors with request IDs, leading to broken formulas and lost quote files. In a true database, every column enforces a clear data type—like dates, currencies, and precise file attachments.
You can easily link a specific request to an internal employee and a required vendor without duplicating rows. This is exactly what Softr Databases are designed for.
Instantly log and track requests through status stages, from draft to approved and finally delivered.
Automatically categorize your vendors and run instant risk assessments on high-cost requests using native AI agents. Everything is connected and ready to scale.
Maintain a directory of internal staff, roles, and department assignments
Manage client profiles with AI-generated industry tracking and business summaries
Store supplier details with AI-powered category classification for better sourcing
Process purchase workflows using AI for risk assessment and automated titling
This system is built for operations teams and managers who need to streamline company spending.
It takes only a few clicks to rename your request statuses or add new vendor categories. Because it is a fully native database, you can freely adjust the structure to match your exact approval workflow.
Easily upload a CSV of your current vendors or connect via API to sync your existing employee directory. Your historical purchasing data will be ready to use in seconds.
When your team needs an internal portal to submit requests, you can easily build an app directly on top of this data.
You can set distinct permissions so that employees only see their own submissions while procurement managers review everything. Starting with a cleanly structured database makes scaling into a powerful internal tool effortless.
A procurement database is a structured system that centralizes your company's purchasing processes. It tracks internal requests, vendor details, estimated costs, and approval statuses in one reliable place. This ensures complete visibility over company spending.
No-code databases give operational teams the power to launch production-ready tools instantly without relying on developers. They offer the speed of a spreadsheet but ensure data integrity, eliminating broken formulas and messy rows. You maintain full autonomy to adapt the system as your purchasing workflows evolve.
An AI Database co-builder can help you generate formulas to calculate spending or write filters for specific vendor categories. More importantly, Database AI agents act as automated assistants directly inside your tables. For procurement, they can automatically research vendor industries, summarize customer details from the web, and run real-time risk assessments on costly requests.
Yes, you can use Softr's interface builder to turn this data into a fully functional internal portal. Employees can log in to submit hardware or software requests, while managers get a dedicated dashboard to approve budgets. You safely control who sees what, ensuring people only access the records relevant to their role.
Yes, this template is completely free to get started and customize. Databases are included in our free plan alongside unlimited collaborators, so your whole team can jump in. As your procurement volume grows, higher-tier plans offer increased record limits to scale with your needs.
Spreadsheets struggle with scalability because they lack strict structure and relational links. Tracking an employee, a vendor, and an invoice across multiple spreadsheet tabs quickly leads to duplicate data and broken VLOOKUPs. A relational database fixes this by assigning distinct object types to specific tables that connect effortlessly.