The Scenario
You are a sales ops analyst. Q1 closed six weeks ago, and the revenue team is doing a reconciliation: every dollar attributed to an SMS campaign in Dripcel needs to match a corresponding line in the CRM before the board presentation next Tuesday. You know Dripcel has sales records — sale ID, customer phone, product name, amount, date — but right now they live in Dripcel and your reconciliation lives in an Excel workbook.
The gap between those two places is the problem.
The bad version:
- Log into Dripcel's reporting section, navigate to the sales records view, and discover that the export gives you a 500-row CSV and you need to page through eight pages to get all of Q1.
- Download all eight CSVs, open each one in a separate worksheet, copy them into a master sheet, spend 30 minutes fixing the date format inconsistencies between export batches, and then realize the currency column is formatted as text in four of the eight files.
- Hand the resulting mess to a colleague for review, who finds two duplicate sale IDs and sends it back.
The board presentation is Tuesday. The reconciliation does not move forward until the data is clean and in one place.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your workbook context and calls Dripcel through its built-in integration — so you can land all sales records in the workbook without downloading a single CSV.
Fetch the complete Dripcel sales list and paste each record's key fields into the 'Revenue Reconciliation' Excel tab with a total sum at the bottom.
What You Get
- All Dripcel sales records pulled in one pass — no pagination to manage.
- Sale ID, customer phone, product name, amount, and date written into the 'Revenue Reconciliation' tab with consistent column formatting.
- Amounts formatted as numbers, not text, so you can sum and filter immediately.
- A total sum of the amount column at the bottom of the tab.
- If SheetXAI detects duplicate sale IDs in the returned records, it flags them in a separate column before writing.
What If the Data Is Not Quite Ready
You only need Q1 records — January through March
Retrieve all Dripcel sales records with a date between 2026-01-01 and 2026-03-31. Write sale ID, customer phone, product name, amount, and date into the 'Q1 Revenue' Excel tab. Add a total sum of the amount column at the bottom.
You want to match Dripcel sale records against a CRM export already in the workbook
Read the 'CRM Export' worksheet (column A = sale ID). Retrieve all Dripcel sales records for Q1 2026. Write the Dripcel records into a new 'Dripcel Sales' tab. Then add a 'CRM Match' column: for each Dripcel sale ID, write 'Matched' if it appears in the CRM Export, or 'Unmatched' if it doesn't.
The Dripcel records are in USD but the board report needs EUR — you want the conversion done inline
Retrieve all Dripcel sales records for Q1 2026. Convert all amounts from USD to EUR using a rate of 0.92. Write sale ID, customer phone, product name, original USD amount, converted EUR amount, and date into the 'Q1 Revenue EUR' tab. Add a total EUR sum at the bottom.
You want to pull, deduplicate, convert currency, match against the CRM, and produce a summary in one pass
Retrieve all Dripcel Q1 2026 sales records. Remove duplicate sale IDs. Convert amounts from USD to EUR at 0.92. Compare each sale ID against the 'CRM Export' worksheet (column A) and mark 'Matched' or 'Unmatched'. Write all results into the 'Revenue Reconciliation' tab. At the top, add a summary: total records, duplicates removed, matched to CRM, unmatched, total EUR revenue.
One prompt that reconciles and summarizes is the same effort as running the pull — and it lands board-ready.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook where your revenue reconciliation lives, then ask it to pull all Dripcel sales records and match them against your existing data. You can also see how SheetXAI handles delivery log audits or the full Dripcel integration overview.