The Scenario
You are part of an e-commerce fulfillment team. Every Monday morning your team exports 150 orders from the order management system into a Google Sheet. The sheet has one row per order: address in columns C through G, package weight in column H, order ID in column A.
The goal is to get labels for all 150 orders and start scanning packages by noon. Right now the process is: create 150 individual ShipEngine shipments by hand, then manually trigger a batch, then wait. On a good Monday it takes two hours. On a bad one, someone fat-fingers an address and the whole batch fails.
The bad version of Monday morning:
- Create shipment one in ShipEngine manually
- Add it to a new batch
- Create shipment two
- Add it to the batch
- Repeat 148 more times
- Hit "Process Labels"
- Find out at row 60 that a weight field was blank and the batch is broken
- Scanning starts at 1:30 PM.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your spreadsheet that reads the order rows, creates the ShipEngine shipments, adds them to a batch, and triggers label generation, all in one pass.
Open the SheetXAI sidebar and type:
Create a ShipEngine batch from the orders in my Monday Export sheet — build one shipment per row using the address in columns C through G and package weight in column H, then process labels for the entire batch. Write each tracking number back into column I.
SheetXAI reads the sheet, builds each shipment via the ShipEngine API, adds all of them to a new batch, processes the label run, and writes the tracking numbers back into column I. The labels are ready and the sheet is updated before your team finishes coffee.
What You Get
One processed ShipEngine batch with 150 labels, plus column I filled with tracking numbers:
- One tracking number per row — written back into column I immediately after label creation
- Batch ID logged — SheetXAI writes the batch ID into a header cell so you can reference it in ShipEngine's dashboard
- Error rows flagged — any shipment that fails to create gets a flag in column I instead of a tracking number
The labels are ready in ShipEngine's interface and in the sheet at the same time. Your team can start scanning, and the tracking numbers are already in the sheet for the customer notification step.
What If the Data Is Not Quite Ready
Monday morning exports are never perfectly clean. SheetXAI handles the cleanup and the batch creation in the same prompt.
When some rows have blank weights
Ten orders have blank values in column H because the product catalog is missing a weight for those SKUs.
Before building the batch, check column H for blank values. For any row missing a weight, use a default of 1 lb. Then build one shipment per row from the Monday Export sheet and process the batch. Write tracking numbers into column I and flag any rows where you used the default weight in column J.
When some addresses failed validation in a prior step
You ran address validation earlier and column K has 'invalid' for a few rows. You want to exclude those from the batch.
Skip any rows in the Monday Export sheet where column K is marked 'invalid'. Build ShipEngine shipments for all other rows, add them to a new batch, and process labels. Write tracking numbers into column I.
When you need to split the batch by carrier
Your warehouse manager wants FedEx shipments in one batch and UPS in another because they have different pickup windows.
For each row in the Monday Export sheet, fetch the cheapest carrier using the address in columns C through G and the weight in column H. Split the orders into two groups: FedEx and non-FedEx. Create one ShipEngine batch for each group, process both, and write the tracking number and carrier code into columns I and J.
When you need to validate addresses, build the batch, and send a summary email all in one prompt
The operations supervisor wants a summary before the label run starts.
Validate each address in columns C through G of the Monday Export sheet with ShipEngine. For rows that pass validation, build a ShipEngine shipment and add to a new batch. Once the batch is processed, write tracking numbers into column I and write a summary into cell K1: how many labels processed, how many skipped due to invalid addresses, the batch ID, and the total label cost.
The pattern: validate, batch, and summarize in one prompt. No second pass, no manual reconciliation after.
Try It
Get the 7-day free trial of SheetXAI and open any order export sheet, then ask it to build a ShipEngine batch and process labels for every row. The ShipEngine integration is included in every SheetXAI plan. For related workflows, see how to get rate quotes before purchasing labels or the ShipEngine in Google Sheets overview.