Finance & FP&A

How to analyze vendor and category spend as Small Finance Teams

Finance & FP&AFor Small Finance Teams2 apps12 steps~24 min to set up

Your AP aging lives in NetSuite or QuickBooks. Your actual bank transactions live in Plaid or your bank portal. Your team's working definition of 'vendor spend' is whatever someone exported to a CSV last month and pasted into a Google Sheet. When the CFO asks 'what did we spend with AWS last quarter versus this quarter?' you're cross-referencing three sources — the ERP for accrual-basis entries, the bank feed for cash actually out the door, and someone's memory of whether that Ramp card charge got coded correctly. Close week makes this worse. You don't have time to build a clean vendor-level view, so you answer the question with a caveat and move on. The caveat accumulates.

Build this on Starch → See the apps used

Finance & FP&AFor Small Finance Teams2 apps12 steps~24 min to set up

Outcome

What you'll set up

A live vendor and category spend dashboard that pulls directly from QuickBooks, NetSuite, and Plaid bank feeds — no CSV exports, no manual refresh — so you can answer 'what did we spend with X this quarter?' in under 30 seconds

Automated anomaly alerts that flag when a vendor charges more than their normal range or a new vendor appears on your bank feed for the first time, before it shows up as a surprise in the month-end close

A reusable spend analysis surface you can filter by vendor, category, department, or time period — the thing you currently rebuild in Google Sheets every time someone asks a one-off question

The Starch recipe

Apps, data, and prompts

The combination of Starch apps, the data sources they pull from, and the prompts you use to drive them.

Apps used

Transaction Insights Runway Analysis

Data sources & config

Starch syncs your QuickBooks data on a schedule — bills, vendors, payments, and journal entries — and separately syncs your Plaid bank transactions on a schedule. These two streams feed the spend dashboard simultaneously, so accrual-basis vendor coding from QuickBooks and cash-out-the-door from Plaid are visible side by side. If you're on NetSuite, Starch syncs your NetSuite invoices, expenses, and vendor data on a schedule as the QuickBooks equivalent. Stripe payouts sync on a schedule as well, useful for net-of-fees cash reconciliation. No live-query limitations on any of these — the data is refreshed automatically and lives in Starch ready for your queries.

Prompts to copy

Build me a vendor spend dashboard using my Plaid transactions and QuickBooks bills. Show month-over-month spend by vendor, grouped by category. Flag any vendor where this month's total is more than 20% above their 6-month average. Show new vendors that appeared in the last 60 days.

Add a category drilldown to the spend dashboard. I want to click into 'Software & Subscriptions' and see every vendor, their monthly trend, and their total for the quarter. Pull from both Plaid bank feed and QuickBooks vendor bills so I catch everything regardless of how it was coded.

Create a recurring spend tracker. Show me every vendor that's charged us in at least 3 of the last 6 months, their average monthly amount, and whether this month's charge has come through yet. Alert me on Slack if a recurring vendor misses their normal billing window by 5 days.

Run these in Starch → or paste them into your favorite agent

Walkthrough

Step-by-step

1 Connect QuickBooks (or NetSuite) to Starch — Starch syncs your bills, payments, vendors, and journal entries on a schedule. This typically completes the first full sync within minutes and updates daily after that.

2 Connect Plaid to Starch — Starch syncs your bank transactions on a schedule, categorized and tagged by merchant. If you have multiple accounts (operating, payroll, savings), connect all of them so the cash view is complete.

3 Start with the Transaction Insights app from the App Store — it gives you a working vendor and category spend view out of the box using your Plaid feed. Use it as your starting point before customizing.

4 Tell Starch what you want on top of the starter: 'Add QuickBooks vendor bills to the spend view so I can see both booked expenses and cash transactions side by side, matched by vendor name.' Starch builds the join for you.

5 Set your anomaly thresholds — describe them in plain English: 'Flag any vendor where this month's total is more than 20% above their trailing 6-month average.' Starch writes the detection logic and runs it each time the dashboard refreshes.

6 Build the category drilldown: 'Let me click into any spend category and see the vendor-level breakdown, monthly trend, and quarter-to-date total.' This is the view you currently rebuild in Sheets every time someone asks.

7 Add the new-vendor alert: 'Send me a Slack message when a vendor appears in my Plaid transactions for the first time.' Starch syncs your Slack connection and fires the alert automatically — Starch connects directly to Slack.

8 Build the recurring-vendor tracker prompt above. This is the subscription audit you mean to do every quarter but only do when a renewal surprises you on the credit card statement.

9 Save a filtered view for the CFO's standard question: 'Show me software and SaaS spend by vendor, this quarter vs last quarter, sorted by total.' Pin it so you can open it during the next leadership meeting without rebuilding it.

10 Add Stripe to the mix if gross margin by product line is a recurring ask — Starch syncs your Stripe charges and revenue on a schedule. Tell Starch: 'Add a revenue vs. COGS layer to the spend dashboard so I can show gross margin by product line pulling from Stripe revenue and QuickBooks cost accounts.'

11 At month-end, run a one-off query: 'Show me all vendors with more than $5,000 in total spend this month where the QuickBooks bill and Plaid cash transaction don't match — flag timing differences.' This is the reconciliation check you usually do manually in two open tabs.

12 Share the dashboard URL with the CFO as a live link. The next time they ask about vendor spend mid-close, they can look themselves instead of interrupting you.

See this running on Starch

Connect your tools, describe what you want, and the agent builds it. Closed beta is free.

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Worked example

March 2026 close — Q1 vendor spend review

Sample numbers from a real run

AWS (Infrastructure)	34,200
Salesforce (CRM)	18,600
Rippling (HR / Payroll platform)	11,400
Ramp card — uncategorized charges	8,750
New vendor flagged (Anthropic API)	3,100
Recurring vendor miss (Zoom — March charge not yet posted)	1,890

It's March 28th, two days before Q1 close. The CFO pings asking for a Q1 vendor spend summary broken down by category and flagging anything that moved more than 15% versus Q4. In the old world, that's a 90-minute Sheets build: export QuickBooks AP, export Plaid transactions, VLOOKUP them together, pivot by vendor, manually compare to the Q4 version you hopefully still have. Instead, you open the Starch spend dashboard. Starch has synced QuickBooks bills and Plaid bank transactions overnight. The dashboard shows AWS at $34,200 for Q1 — up $6,400 from Q4, already flagged in red with the anomaly alert you set in January. Salesforce is flat. Rippling is up $900 because you added three people in February, which matches your memory. The Ramp card charges at $8,750 have a yellow flag: $3,100 of it is a new vendor (Anthropic API) that appeared for the first time in February. You didn't set up that vendor in QuickBooks yet — the Plaid feed caught it before the accrual did. Zoom's March charge hasn't posted yet, also flagged. You screenshot the dashboard, paste the vendor table into the CFO's Slack thread in about four minutes, and note the Anthropic line needs a QuickBooks vendor record. Close continues.

Measurement

How you'll know it's working

Vendor spend variance month-over-month (actual vs. prior month, by vendor and category)

New vendors appearing in bank feed not yet coded in the ERP

Recurring vendor charges missed or late in the current month

Cash-to-accrual timing gap by vendor (Plaid cash out vs. QuickBooks bill date)

Software and SaaS spend as a percentage of total operating expense, quarter-over-quarter

Comparison

What this replaces

The other ways teams handle this today, and how the Starch version compares.

Google Sheets + QuickBooks CSV export

Free and familiar, but you rebuild it manually every time and it's stale the moment you export — there's no live connection, no anomaly detection, and no Plaid layer for cash transactions that haven't hit the ERP yet.

NetSuite saved searches and SuiteAnalytics

Powerful for accrual-basis ledger queries, but no bank feed data, no cross-system vendor matching, and building a custom saved search that a non-NetSuite user can read takes time you don't have during close week.

Ramp or Brex built-in spend analytics

Good for card spend specifically, but only sees what went through that card — it misses ACH, wire, and bill-pay transactions, and has no connection to your ERP vendor list or your Plaid bank feed.

Mosaic or Pigment (FP&A platforms)

Purpose-built for finance teams and genuinely good at multi-source consolidation, but they're priced for larger finance functions, require a meaningful implementation, and are harder to customize mid-close when you just need to answer one question fast.

On Starch RECOMMENDED

One platform — transaction insights, runway analysis all running on connected data. Setup in plain English; numbers stay current via scheduled syncs and live agent queries.

Try it on Starch →

FAQ

Frequently asked questions

Does Starch replace NetSuite or QuickBooks for AP and vendor management?

No, and it's not trying to. Your ERP owns the chart of accounts, the coded bills, the vendor records, and the audit trail. Starch syncs that data on a schedule and lets you build the views and alerts on top that your ERP doesn't surface cleanly — like a cross-system vendor spend dashboard that combines QuickBooks bills with Plaid bank transactions. You keep running your close in NetSuite or QuickBooks; Starch is the surface where you answer questions about what's in there.

What if a vendor in Plaid has a different name than in QuickBooks — will they match?

Plaid merchant names and QuickBooks vendor names are often different (e.g., 'AMZN MKTP' vs. 'Amazon Web Services'). You can tell Starch how to handle this in plain English: 'When you see AMZN MKTP or Amazon Web Services in any data source, treat them as the same vendor.' Starch applies that mapping going forward. It's not magic — you'll find mismatches, especially early — but you fix them once and the dashboard stays clean.

Is Starch SOC 2 certified?

Not yet — Starch is not SOC 2 Type II certified today. If that's a hard requirement for connecting your bank data or ERP, that's an honest reason to wait. It's on the roadmap.

The QuickBooks P&L report I normally pull — can Starch sync that directly?

QuickBooks report views like the standard P&L and Transaction List are temporarily unavailable due to a connector issue being fixed upstream. The underlying entity data — bills, invoices, payments, vendors, journal entries — syncs normally on a schedule. For most vendor spend analysis, entity-level data is actually more useful than the formatted report anyway. We'd rather be honest about this now than have you discover it after connecting.

We use Ramp for corporate cards — can Starch see that spend too?

Ramp doesn't currently appear as a scheduled-sync provider in Starch. However, your Ramp transactions will show up in your Plaid bank feed if you have a Ramp bank account connected, and Starch can automate actions in Ramp through your browser — no API needed. If you need deep Ramp data, connect Ramp from Starch's integration catalog (3,000+ apps available); the agent queries it live when your dashboard runs.

How often does the spend data refresh?

QuickBooks, NetSuite, Plaid, and Stripe all sync on a schedule — typically daily. This means your vendor spend dashboard reflects yesterday's data, not this morning's. For most spend analysis use cases that's fine. It's not a real-time stream, and Starch isn't a data warehouse storing years of history — it's a live surface for current and recent data.