Ready for AI, too —automate connecting, shaping and operating.
OpsEngine Connect — "OC" below
One month of line items
192,218rows
Measured on the largest category
Time to pull
11.6sec
Measured on those 190,000 rows. 2,418 rows takes1.8 sec
Writing 70 columns × 280,000 rows
10min or less
Heaviest month, including writing to the sheet
All figures are from our highest-volume customer, in their heaviest month. Lighter categories finish in seconds (inbound: 2,418 rows = 1.8 sec; storage: 130,493 rows = 7.5 sec, same customer).
Connect
None of these come out of a single admin screen. So today, they get reconciled by hand in Excel. Cross them, and you have the answer. Two sources, or three.
Categories we connect — tap one to filter the examples
Shipping×Weather
Logistics / floor
Orders×Shipping
CS / logistics
Orders×Accounting
Accounting / cash flow
Payments×Accounting
Management
Shipping×Accounting
Management / pricing
Inventory×Orders
Purchasing / inventory
Ads & analytics×Orders
Marketing
Video & site×Shipping
Site management
Weather×Orders
Purchasing / retail
Orders×Shipping×Weather
CS / floor
Ads & analytics×Orders×Accounting
Management / marketing
Inventory×Orders×Weather
Purchasing / retail
Gathering, aligning and holding the information these cross-checks need —
that is what OpsEngine Connect does.
* These are examples of use. We keep adding connections. Ask us about the services you use and we will answer directly.
What's missing
As people ask more of AI, there is not enough data in a form you can hand over — and it shows.
The way to get it out is provided as an API — a handover point. But raw output is not usable as it arrives.
Readable by a person? Usable by an AI as-is? Only once it is arranged that far does it become usable information.
Most services have an API — a handover point, and you can receive their data through it.
When fields, units and ordering differ, people cannot read it and AI misreads it. Align it into a single table.
As a table for people, and in a form AI can read directly — both. Consistent every time is the point.
Switch to weekly. Add another angle. People and AI decide from the same information.
What you decide becomes the next pull condition
Who benefits
The monthly grind on the floor disappears,,accounting stops waiting for the close,, and the data you hand AI is consistent every time.
On the floor
The numbers sit in one screen per service.
So every month, someone gathers and re-compiles them by hand.
No time spent redoing the same compilation. If someone takes leave, it does not stop.
Accounting / management
Numbers only arrive once the floor finishes compiling them.
So last month's figures appear halfway through this month.
See the numbers without waiting. Moving from monthly to weekly adds no one's workload.
Decision makers / AI
Every pull is reshaped by hand on the spot.
So the data handed over differs each time, and every job starts with re-aligning it.
Same columns, same shape every time — no re-aligning, and less checking for the AI.
Check
All of them come from numbers being split across services.
What is an API
API (Application Programming Interface) means a window between programs. It is an exit built so machines can take a service's data directly. No one opens an admin screen or downloads a CSV — it arrives in the shape you set.
Via the admin screen
Via the API
What an API makes possible
No screen to open, nothing to wait for.
It runs the same at night or at dawn.
The same live data as the admin screen.
No need to download it again.
190,000 rows received in 11.6 seconds.
More rows, same effort.
It runs without anyone touching it.
Same time each month, same shape.
What actually arrives (sample) — data from different sources, lined up in one table
| Orders | Shipping | Weather | ||||||
|---|---|---|---|---|---|---|---|---|
| Order date | Order no. | Ship date | Destination | Qty | Shipping | Weather | Temp | |
| 2 | 07-01 | EC-8841 | 07-02 | Tokyo | 3 | 880 | Clear | 31.2 |
| 3 | 07-01 | EC-8842 | 07-02 | Osaka | 1 | 880 | Cloudy | 29.8 |
| 4 | 07-02 | EC-8843 | 07-03 | Hokkaido | 5 | 1,320 | Rain | 22.4 |
| 5 | 07-02 | EC-8844 | 07-04 | Fukuoka | 2 | 880 | Rain | 28.1 |
| 6 | 07-03 | EC-8845 | 07-04 | Aichi | 1 | 880 | Clear | 33.0 |
Why
Connecting takes time — to research, to write, and to keep it running.
That time was never in the plan — that is where most teams start.
What an API returns
{ "shipments": [
{ "id": "SH-0012",
"amt": 1280,
"date": "2026-07-31" },
{ "id": "SH-0013", …
Not in a form people read
Work out what can be pulled
Decide how to fill what is missing
Write it, and keep it running
What the floor wants
Your usual spreadsheet
Thanks to AI, writing code got easier.
Even so, reading the requirements and the spec still remains.
OpsEngine Connect takes on that whole set.
Before / After
Until now
Six steps, repeated every month
With OC
Build it once; the same thing arrives every time
Pull & Push
Today it can pull, align and hold — three things.
Next come automating operations such as creating and updating records, and holding AI-ready data in a consistent shape.
It pulls what you need from the connected service's API. No opening admin screens, no CSV downloads.
Choose the columns and the destination sheet. Line up data from several services in one table.
Conditions are saved and recalled any time, and can refresh on a schedule.
Why spreadsheet
Three destinations to choose from. Create a new file, or keep using the file you already have.
It makes one blank file and writes there. Best for a first trial.
Your existing files are never touched
Your file stays as it is. Only a new sheet appears.
The order of your existing sheets does not change
It replaces a fixed range each month. Appending below is also available.
Formulas, pivots and charts pointing at that sheet stay connected
It arrives where you already work.
Notes, categories and judgements — as always.
Formulas, pivots and sharing settings keep working.
Export to CSV or Excel and hand it to another system.
Shape with words BETA
Reshaping a table used to need someone who could write formulas (VLOOKUP, IF, SUMIFS…). With OC, you just write what you want. Calculations, conversions, joins between tables.
| Product | Unit price | Qty | Revenue New column | |
|---|---|---|---|---|
| 2 | Cooler bag | 1,980 | 3 | 5,940 |
| 3 | Diatomite mat | 2,480 | 1 | 2,480 |
| 4 | Pet stroller | 12,800 | 2 | 25,600 |
Calculate
"Make a gross margin column with shipping and fees deducted"
Transform text
"Pull just the prefecture out of the address"
Join tables
「"Join to the orders table on order number"
Add or remove
"We don't use these three columns — drop them"」
These instructions are saved together with the pull conditions. Next month, just recall it — the same steps run in the same order.
This feature is in beta. Complicated instructions may not be understood.
You can check the result on screen before it is written — if it looks wrong, say it differently and it runs again.
What goes to the AI is only column names and types for data. The data itself is never sent.
Save & Repeat
From where, for when, which columns, into which sheet. Name that combination and save it.
Next month, just recall it.Add a schedule and it stays current without opening anything.
Like "Monthly billing ledger" — the conditions themselves remain. Archive them when unused, restore them when needed.
Next month you just pick it. Columns and destination stay. What was pulled and when is kept in the run history.
Set a schedule such as "the 1st of each month". The target month can be held as "last month" or "this month", so nothing needs editing when the month rolls over.
How this differs from the two usual approaches
| Write GAS yourself | Use a dedicated tool | OpsEngine Connect | |
|---|---|---|---|
| To build it | Write code | Pick it on screen | Pick it on screen |
| Where conditions live | In the code | In the tool | Saved under a name |
| Next month | Open and edit | Pick again | just recall it |
| Scheduled runs | Configured separately | Sometimes yes, sometimes no | Attach a schedule to the same conditions |
| Target month | Compute it yourself | Fixed periods only | Held as "last month" / "this month" |
| Scope | Everything is yours to build | Inside that tool only | Spans services |
Steps repeated each month
6→0steps
Decide once; next month just open it
Times you build conditions
Every month→1time only
Save it, then recall it
192,218 rows, one month
11.6sec
Measured in real use
GAS can do anything. But it stops when the person who wrote it leaves. A dedicated tool is easy, but you cannot go outside it.
Safety
Your services and files stay as they are. We just stand in between and shape the data.
It is written to your Google Drive. We hold only the pull settings and the run log.
We touch only files this service created and files you select.
Disconnect and the files created so far stay with you.
Will it work with the services we use?
We support services with published APIs, adding them in turn. Tell us what you use.
How much data can it handle?
In real use, one month of 192,218 rows of line items is pulled in 11.6 seconds . A 70-column, ~280,000-row shipping ledger finishes, writing included, in under 10 minutes.
What about spreadsheet limits?
If you approach the 10-million-cell limit per file, you can choose which columns to output. Files can also be split by month or category.
Is our data safe?
We do not store the line items on our servers. Output goes to your Google Drive, and access is limited to files this service created and files you select.
What does it cost?
It depends on what you use. We will suggest a plan and a quote — just ask.
Outsource
From writing down the requirements to building the conditions and running them — we take the whole thing on.
Automate the current way as-is and the steps that should be revised get set in stone too.
What to keep, what to stop, what to automate. We decide that together, first.
A screen recording of you working as usual, thinking out loud. That is enough. No need to prepare anything for us. It does not need to be tidy.
Which tasks take how long. Where everything rests on one person. We handle the interviews and the workflow mapping.
stop / keep human / automate We sort each task into one of those. Then we build the pull conditions and destinations and hand them over.
info@opsengine.jp