Fast-growing brands
Teams that have outgrown Excel as their SKU count climbs.
Innostock forecasts demand across your channels — Amazon, Shopify, Shopee, and more — so you order the right quantity at the right time.
Cut stockouts and overstock at the same time.
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※ Sample data — actual results vary with your data and operations.
No more juggling spreadsheets.
| Product (SKU) | Stock | Recommended order Qty | 26.07 | 26.08 | 26.09 | 26.10 | 26.11 | 26.12 | 27.01 | 27.02 | 27.03 | 27.04 | 27.05 | 27.06 | 27.07 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Total | 8,450 | 13,200 | 9,500 | 11,200 | 11,000 | 9,400 | 8,000 | 8,200 | 10,400 | 11,500 | 9,600 | 9,500 | 8,400 | 10,000 | 10,600 |
| Wireless earbud case | 520 | 480 | 340 | 380 | 350 | 400 | 370 | 410 | 390 | 420 | 400 | 430 | 410 | 440 | 460 |
| Camping lantern | 60 | 90 | 140 | 210 | 280 | 240 | 160 | 120 | 110 | 130 | 180 | 250 | 300 | 260 | |
| Dog food 2kg | 700 | 650 | 560 | 580 | 560 | 590 | 570 | 600 | 580 | 610 | 590 | 620 | 600 | 630 | 640 |
| Hand cream set | 140 | 210 | 280 | 240 | 300 | 260 | 330 | 290 | 350 | 310 | 370 | 340 | 400 | 430 |
※ Illustrative sample — figures shown are examples and actual results may vary with your data.
For over a decade — across large corporations, multinationals, and startups —
I've forecasted demand mostly in Excel.
The problem was Excel itself: add a few SKUs and it slowed to a crawl, a few formulas and it buckled — freezing mid-save, even wiping out my work.
So I built Innostock — it forecasts demand fast and accurately, however much data you have, and tells you exactly which SKUs to reorder, and how many.The era of running inventory on Excel is over.
| Criteria | Hire more staff | ERP·WMS | Innostock |
|---|---|---|---|
| Cost | High | High | No implementation costs |
| Setup | – | Not needed | |
| Reliable demand forecasting | |||
| Fits SMB sellers |
Hiring more people still leans on one person's skill — and when they leave, the know-how leaves with them.
Teams that have outgrown Excel as their SKU count climbs.
Tired of managing inventory separately across Amazon, Shopify, Shopee, and more.
Demand swings make it hard to time your orders right.
The data is piling up, but forecasts still rely on experience and intuition.
Expensive, complex software only slows you down — it takes forever to learn,
and you'll end up using less than half of it anyway. So we built in only what you truly need.
Proven statistical algorithms analyze seasonality and trends in your sales history to forecast 12 months of demand for every SKU. It flags outliers like promotions and stockouts and suggests whether to adjust.
Replay history to show how accurate the forecast would have been back then. Don't go on gut — check it against your own data.
Tells you exactly how much to order, and when — factoring in lead time, in-transit stock, and your target months of cover (service level).
See weekly trends and week-over-week change at a glance — quickly catch what's rising or fading.
Know something the forecast doesn't? Edit it with a note — changes are kept on record.
Automatic SKU classification by revenue contribution. Focus on what truly matters.
※ The screens and figures above are illustrative; actual results may vary with your data.
Three steps. No complicated setup — start right away.
Fill our sample template with your data and drag-and-drop the Excel or CSV. Just move the order history you exported from Amazon, Shopify, Shopee, and the like into it — all we need is date, SKU, and quantity.
In seconds to minutes, generate 12-month demand forecasts for every SKU, viewable by channel.
Just enter your current stock and lead times, and we'll factor in in-transit and safety stock to tell you exactly how much to order this month.
Cut stockouts and overstock, and both your sales and cash flow come alive.
See demand coming and reorder in time, so you never miss a best-seller and recover the sales you used to lose.
Filter out what won't sell, and recover the cash locked in inventory to put it where it actually matters.
A company doing ₩10B a year recovers about ₩500M in annual sales by cutting stockouts just 5% — and frees capital tied up in excess stock.
Yearly sales recovered from a 5% stockout cut
(₩10B revenue, illustration)
The standard plan covering inventory operations end to end, for a single operator.
When multiple people manage different brands, or you need large-scale, custom operations.
From data migration to your first forecast — we help you get set up 1:1.
Normally $799 · free for launch
All prices in USD · no commitment, change or cancel anytime.
This is a digital service that begins immediately upon payment; once use has commenced (e.g., uploading data or running a forecast), withdrawal may be restricted under Article 17(2) of the Act on Consumer Protection in Electronic Commerce.
From data migration to your first forecast, the founder helps you personally — on par with the strategy consulting that normally costs thousands of dollars, free right now.
No installation, no contract. Start with a file upload and cancel anytime.
Your uploaded sales data is encrypted in transit and at rest, and row-level access control means only your account can access it. It is never used to train AI models, and you can delete it anytime.
Founder
E-commerce F&B
I'd been searching even overseas, wondering why no tool like this existed. I really think this one's going to take off!
SCM Lead
Startup
Having all the info that used to be scattered across spreadsheets in one view is the biggest win. It should cut our work hours significantly.
Demand Planner
Cosmetics
Everything I'd always wanted as a practitioner is right here. It'll really help with order quantity planning.
ERP is a tool for recording the past. Innostock learns from that data to predict future demand — and tells you exactly when and how much to reorder. And unlike spreadsheets that slow down or freeze as SKUs and formulas pile up, Innostock handles far more data, fast.
There's no installation or implementation. Just upload your sales history as an Excel or CSV file, and you'll see forecasts within minutes.
If the system provides an API, integration is possible. That said, some providers charge for API access. Even then, you can simply upload your sales data as an Excel or CSV file and get started right away — with or without an integration.
Forecast accuracy improves the longer your sales history is. So the sooner you start managing with a statistical approach, the more your data builds up — forecasts keep getting sharper and your inventory operations get steadier over time. And above all, the biggest value is what you pick up along the way: which signals to watch and how to judge them — the management fundamentals — become second nature as you use Innostock. Even for a few SKUs or brand-new products, starting early pays off.
Not right away. This price adjustment applies to new customers, and if you are already subscribed, your current rate is maintained through December 31, 2026. From January 1, 2027, the updated rate applies, and we always notify you by email at least 30 days before any price change.
Yes, you can cancel anytime.
Solo is the standard plan for a single operator with up to 1,000 SKUs. If multiple people manage different brands, or you need large-scale/custom integration or security, that’s Team/Custom (contact us).
A package covering initial data setup, a 1:1 onboarding session, and your first forecast review — we set it up with you so you get value fast. It’s currently free as a launch promotion.
Good products built with blood and sweat, left to gather dust in a warehouse before they're thrown away.
For the founders I work with, I'll help make sure that never happens.
— Founder, Innostock