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 an Excel workbook — Monday Export tab, with order ID in column A, address in columns C through G, and package weight in column H.
The goal is to get labels for all 150 orders and start scanning packages by noon. Right now the process is: create shipments one by one in ShipEngine, add them to a batch, and trigger the label run. On a good Monday it takes ninety minutes. On a bad one, a blank weight field breaks the batch and scanning starts at 1:30 PM.
The bad version of Monday morning:
- Create shipment one in ShipEngine
- Add it to a new batch
- Repeat 149 more times
- Process the batch
- Find out mid-way that row 80 has a blank weight
- Start scanning late, again.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that reads the order rows, creates the ShipEngine shipments, builds the batch, and triggers label processing, all in one operation.
Open the SheetXAI sidebar and type:
Read my Order Export Google Sheet, create ShipEngine shipments for each row, add them all to a new batch, then process the batch labels and write each tracking number back into column I.
SheetXAI reads the Monday Export tab, builds each shipment via ShipEngine's API, adds them to a batch, processes labels, and writes tracking numbers back into column I before your team finishes the morning standup.
What You Get
One processed ShipEngine batch with 150 labels and column I filled with tracking numbers:
- One tracking number per row — written into column I immediately after label creation
- Batch ID logged — SheetXAI writes the batch ID into a header cell for reference
- Error rows flagged — any shipment that fails to create gets a flag in column I with the reason
Labels are ready and tracking numbers are in the workbook. Your team scans packages, the tracking numbers are ready for the customer notification step.
What If the Data Is Not Quite Ready
Monday morning order exports are never perfectly clean. SheetXAI handles the cleanup and the batch creation in the same prompt.
When some rows have blank weights
Eight orders have blank values in column H because the product catalog is missing weights for those SKUs.
Before building the batch, check column H of the Monday Export tab for blank values. For any row missing a weight, use a default of 1 lb. Build one shipment per row and process the batch. Write tracking numbers into column I and flag any default-weight rows in column J.
When some addresses were already flagged as invalid
You ran address validation earlier and column K has 'invalid' for a few rows.
Skip any rows in the Monday Export tab where column K is marked 'invalid'. Build ShipEngine shipments for all other rows, add them to a new batch, process labels, and write tracking numbers into column I.
When you need to split the batch by carrier
Your warehouse has separate FedEx and UPS pickup windows.
For each row in the Monday Export tab, fetch the cheapest carrier using the address in columns C through G and weight in column H. Split orders into FedEx and non-FedEx groups. Create one ShipEngine batch per group, process both, and write the tracking number and carrier code into columns I and J.
When you need to validate, batch, and produce a summary report all in one pass
The ops supervisor needs a summary before scanning starts.
Validate each address in columns C through G of the Monday Export tab with ShipEngine. For rows that pass, build a ShipEngine shipment and add to a new batch. Process the batch. Write tracking numbers into column I. Write a summary into cell K1: shipments processed, rows skipped for invalid addresses, batch ID, and total label cost.
The pattern: validate, batch, and summarize in one prompt. No second pass.
Try It
Get the 7-day free trial of SheetXAI and open any order export workbook, 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 Excel overview.