

If you run a growing business, you already know the moment when purchase orders stop fitting in your head. One day it is a handful of vendors; the next, you are juggling dozens of open POs, partial deliveries, and invoices that all insist they are correct.A dedicated purchase order tracker becomes your single source of truth. It ties PO numbers to vendors, due dates, amounts, and status so you can answer simple but critical questions in seconds: What do we owe? What is late? Who are our most reliable suppliers? Whether you start in Google Sheets or Excel, a structured tracker reduces disputes, prevents duplicate orders, and gives finance a clear audit trail.Where it really gets interesting is when you stop babysitting that tracker yourself. Delegating PO tracking to an AI computer agent means it can read emails, portals, and forms, then update Google Sheets or Excel automatically. Instead of retyping confirmations and changing statuses line by line, you get a continuously updated picture of spend and delivery risk while you focus on negotiating better terms, not chasing cells.
At first, tracking purchase orders feels simple. A quick spreadsheet here, a few email threads there. But as order volume grows, the mental overhead quietly explodes. The good news: you can start with lightweight manual methods in Google Sheets and Excel, then gradually hand the repetitive work to an AI computer agent so the tracker runs itself.## 1. Manual Tracking in Google SheetsGoogle Sheets is perfect when you want a shared, always online PO tracker for a small team.Step by step:- Create a new sheet and add core columns: PO ID, Vendor, Item or description, Quantity, Unit cost, Total, Currency, Requester, Approver, Order date, Expected delivery, Status, Invoice number, Amount paid.- Turn the range into a filterable table using the Data menu so you can quickly slice by vendor, status, or due date.- Add data validation to the Status column with values like Draft, Approved, Ordered, Partially received, Received, Invoiced, Paid, Cancelled. This keeps your status language consistent.- Use simple formulas for Total and aging. For example, multiply quantity by unit cost, and calculate days overdue by comparing expected delivery to today.- Share the sheet with procurement, finance, and operations, giving edit access only to the people who truly need it.Pros: real time collaboration, easy sharing with agencies or remote teammates, lightweight and cheap. Cons: easy to break formulas, no offline robustness, and still a lot of manual typing and status chasing.## 2. Manual Tracking in ExcelExcel shines when your team prefers desktop speed and heavier analysis.Step by step:- Start from a purchase order tracking template or build a similar table structure to your Sheets version.- Format the data as a table so you can sort and filter by status, vendor, or date.- Use conditional formatting to highlight overdue POs in red, upcoming deliveries in yellow, and fully paid orders in gray.- Build a simple summary sheet with pivot tables: total spend by vendor, count of open POs, average days from PO to payment.- Save the file in a shared drive or cloud storage, and agree on ownership so only one person maintains the structure.Pros: powerful analysis, offline use, mature features for finance workflows. Cons: version control headaches, limited real time collaboration, and still very manual updates.## 3. Semi Automated Workflows With Form InputsBefore jumping to full AI agents, you can reduce friction by standardizing how POs enter your tracker.Ideas:- Create a Google Form or Microsoft Form that feeds new PO requests directly into your sheet, with required fields for vendor, items, budget, and approver.- Use lookup tables for vendors and cost centers so requesters choose from a list instead of typing free text.- Add simple rules to flag requests above a certain amount for extra approval.This step does not remove updates or reconciliations, but it dramatically reduces the messy, inconsistent front door of your PO process.## 4. Fully Automated Tracking With a Simular AI Computer AgentManual systems break down once you are handling dozens or hundreds of POs a month. At that scale, the real time sink is not the spreadsheet structure; it is the endless clicking between email, supplier portals, PDFs, and your Google Sheets or Excel file.A Simular AI computer agent changes the game by acting like a digital operations assistant that lives on your desktop and browser.Here is what that looks like in practice:- The agent opens your email, reads supplier confirmations and shipping notices, and identifies which PO each message belongs to.- It jumps into your Google Sheet or Excel tracker, finds the correct row by PO number, and updates status, expected delivery dates, and tracking links.- When invoices arrive, it records invoice numbers and amounts, flags mismatches between PO and invoice, and highlights anything over tolerance.- On a schedule, it sweeps vendor portals, downloads CSV or PDF reports, and reconciles them back into your tracker so you have a near real time view of open orders.Because Simular Pro is built to automate full computer workflows, you do not have to redesign your process around rigid integrations. The agent simply uses the apps you already use, from browsers to spreadsheets to shared drives, and runs the same steps a trained coordinator would run.## 5. Pros and Cons: Manual vs AI AgentManual Google Sheets and Excel workflows are great for:- Early stage teams with low PO volume- Simple approval paths and a handful of vendors- Owners who want to feel every transaction in the businessTheir downsides appear as you scale:- Human error in copy paste and status changes- Lost emails and missed delivery slips- Hours of month end reconciliationA Simular AI computer agent is ideal when:- You process many POs per week or work with many suppliers- Your team is spread across time zones and tools- You need reliable, transparent execution that scales without extra headcountThe tradeoff is that you invest a bit of time up front to define clear operating instructions and edge cases. In return, you get a purchase order tracker that updates itself, with every click logged and inspectable, so you can finally step out of the spreadsheet and back into running the business.
Start with a spreadsheet. In Google Sheets or Excel, create a table with columns for PO ID, vendor, requester, order date, expected delivery, status, and amounts. Turn it into a filterable table, add basic formulas for totals, and set up a dropdown list for status values. Save it as your master template so every new PO line follows the same structure and can be sorted and reported on easily.
In Google Sheets, use one master tab for all POs. Apply data validation on the Status column to keep values consistent, protect header rows to avoid accidental edits, and use filters or slicers to view open, overdue, or paid POs. Share the sheet with edit rights only for the procurement team and comment rights for others. Add a summary tab with COUNTIF and SUMIF formulas to see open POs and total committed spend by vendor.
Use Excel tables and pivot tables. First, ensure every PO row includes vendor, dates, amounts, and status. Convert the range to a table, then insert a pivot table summarizing total ordered, received, and paid amounts per vendor. Apply conditional formatting to highlight overdue POs. At month end, filter to open or partially received orders, export that view as a PDF for finance, and archive a copy of the file so you have a clear audit snapshot.
Standardize how POs enter the system. Use a form that feeds directly into your Google Sheet or Excel via connected tables, making key fields required. Store vendor lists and cost centers in lookup tables so users pick from dropdowns, not free text. Where possible, import CSV files from your accounting system instead of retyping. As you mature, introduce an AI agent to read emails and PDFs, then post updates into your tracker automatically.
You are ready for automation when your team spends hours each week updating statuses, chasing email confirmations, or reconciling spreadsheets with invoices. Signs include frequent late payments, duplicate orders, or missing PO numbers. At that stage, map your ideal workflow, then hand repetitive steps to an AI computer agent that can log into portals, read emails, and update your Google Sheets or Excel tracker while humans handle exceptions and approvals.