Upload your sales records from your point-of-sale system or Excel. Get a 14-day outlook for stock and sales, with no formulas and no data scientist.
UPLOAD YOUR SALES DATA (CSV / XLSX)
Drag a file here, or choose one from your computer. Files are processed in your browser and are never sent to a server.
> computed in your browser, not on a server
> a simple model for the demo, not a production model
Ask your data in plain language
Type a question about your business, or tap one of the examples. The system scans the data and answers with a chart and a confidence level. This demo uses sample data.
The confidence level appears once the analysis is complete.
Three tools, no formulas
Tableau, Power BI and Looker Studio hand you a blank canvas to assemble yourself. Here you get the answer straight away, for example "how many kilos of coffee beans should I stock tomorrow?". Hover over or tap a tool to see its preview.
- UPLOAD WITHOUT THE HASSLE coming soonMessy Excel or CSV files are cleaned up automatically: date formats, duplicates, blank values.
- ONE-CLICK STOCK FORECAST demo availableKnow when ingredients will run out and how much to buy. The demo above uses a simple model.
- LOST-CUSTOMER RADAR coming soonSee which customers are coming back less often, so you can reach out to them first.
Pay for the scale you use
Start free and move up as your business grows. Adjust the usage sliders and the best-fitting plan lights up automatically. Final prices may change.
Instant answers, not a blank canvas
A "planned" tag means the feature is not available today.
| MANUAL EXCEL | TABLEAU / POWER BI / LOOKER | DATASCIENCE.CO.ID | |
|---|---|---|---|
| Technical skill | Write your own formulas and pivots | Learn to build dashboards | None needed. Upload a file, see results |
| Questions answered | How much sold yesterday | Whatever you design yourself | How much to stock tomorrow, when stock runs out |
| Time to an answer | Hours to days | Days to weeks | Minutes (target) |
| Messy files | Cleaned up by hand | Cleaned up by hand | Auto-cleaner (planned, month 3) |
| Indonesian context | None | Not built in | Payday cycles, national holidays, rainy season (planned, month 1) |
| Cost | Free, but time-consuming | Per-user licence | From free up to Rp499K / month |
Privacy from day one
This section is not for café owners, it is for those who want to connect
For point-of-sale providers, developers and data owners. Everything shown below is a target design and an example interface. None of it is running today.
Data flow from checkout to decision
INSPECT
Click a node to see its role, latency and a sample payload.
Data marketplace (stage 2)
Data-as-a-Service (DaaS) Marketplace
Curated datasets, pay-as-you-go API access and escrow-based transactions.
EXAMPLE VIEW. The datasets, prices, escrow balance and log below are illustrations, not real data or transactions.
API for developers (example)
Where we stand today
We choose to be open about where the product stands. Our blog has been publishing since 2024, but this forecasting tool only started in October 2026. What you tried above is a demo, not a service that is already running.
Blog launched
datascience.co.id began publishing articles on data science and AI in plain language. There are 9 articles on the blog so far (in Indonesian).
New direction
Our focus shifts to a no-code forecasting tool for small businesses, starting with coffee shops and F&B.
Demo and waitlist
The in-browser sandbox demo and the waitlist form are open. Interviews and the beta follow.
AVAILABLE NOW
- An in-browser sandbox demo with a real forecasting model
- Interface design and the Magic Upload flow
- A three-tier pricing plan
IN PROGRESS
- Interviews with coffee shop and F&B owners
- Collecting historical data from beta testers
- Testing model accuracy on real data
NOT YET AVAILABLE
- Accounts and storage of customer data
- Direct POS integration (Moka, GoBiz)
- LLM-based Ask Data, WhatsApp alerts, the data marketplace
Forecasting engine
One niche: coffee shops. Train the model on data from 5 beta shops and add payday dates, national holidays and the rainy season.
Simple interface
One upload screen, a processing animation, one results screen. No technical parameters.
Closed beta with 50 small businesses
An auto-cleaner for messy Excel files. Watch for the points where users get confused.
Partnerships
A white-label add-on for local point-of-sale providers and small-business communities.
Before you sign up
How accurate are the forecasts?
Every forecast is backtested on the last 14 days of your own data, and the confidence figure is shown together with a range of likely outcomes. It is not a guarantee. Short or messy data lowers accuracy, and the system will show you when that happens.
Which businesses is it for?
We are starting with coffee shops and F&B businesses that have daily sales data. Retail shops and online stores are welcome to sign up, but their turn comes after the first niche is proven.
Which file formats are accepted?
CSV and Excel (XLSX) files with one date column and one sales-figure column. The demo above already recognises the date formats YYYY-MM-DD and DD/MM/YYYY.
Can it connect to Moka or GoBiz?
Not yet. Direct point-of-sale integration is part of the Growth plan and depends on API access from the POS provider. For now, upload an exported file.
When will the Data Marketplace be available?
Stage 2, after the forecasting service has proven useful. Data owners and buyers need mature rules for anonymisation and transactions, and we do not want to rush that.
What happens to my data?
See the Privacy section above. In the sandbox, your file never leaves your browser. In the upcoming beta, your data is used only for your own account's analysis and can be deleted on request.
Be one of the first beta cafés
We are looking for coffee shop and F&B owners who want to try this early. In return, you get stock forecasts for your business at no cost during the beta, and a say in which features we build next.
- All we need is daily sales data from your point-of-sale system or Excel
- A short 20-minute interview, if you are willing
- Beta places are limited