5:45 pm · Data and machine learning
Illustration
Data and machine learning
Sales and demand forecasts, customer churn signals and clear dashboards from the data you already keep. Plus early access to our ML Playground.
The short answer
We turn the records you already keep (sales, bookings, stock, customers) into forecasts and clear answers about what will sell next month, which customers are drifting away and where money is leaking. It's for growing businesses that make decisions from gut feel and a pile of spreadsheets.
How it works
We start with one question.
It might be "How much stock should we order for the festival season?" or "Which clients are likely to stop booking?"
We gather and clean the data.
It can come from spreadsheets, Tally, Zoho, your store or your CRM, and we tell you honestly what it can and can't answer.
We test before we trust.
We build the forecast or model, check it against your past, and show you how often it would have been right.
You get it where you work.
That might be a simple dashboard, a weekly summary on WhatsApp or email, or numbers fed straight into your ordering sheet.
What you can ask of your data
Demand and sales forecasts.
By product, branch or season.
Customers likely to leave.
Flagged early, so someone can call them first.
Unusual transactions.
Refunds, discounts or expenses that look out of place.
Stock planning.
Fewer stock-outs and less dead stock.
Plain dashboards.
The few numbers you check every morning, on one screen.
What you get
Screens are mock-ups
One clear question answered with your own data
A written note on how reliable the answer is, and why
A dashboard or regular summary your team actually reads
The cleaned data and the method, documented, so they're yours
An optional monthly refresh as new data comes in
The ML Playground
We're building the ML Playground, an AI data scientist that runs experiments on your data and learns from each one. It isn't available yet, so register interest and we'll tell you when it opens.
Where it fits
Data work pays off when the same decisions come round again and again, like ordering stock, staffing shifts or chasing renewals. If your data is still on paper or in PDFs, start with document processing. If you want the answers acted on automatically, add workflow automation.
For large or fast-moving data spread across many systems, see big data services. For forecasts that run live inside your systems and retrain themselves, see predictive analytics.
Price
We quote every data project in writing after a free consultation, and the timeline is agreed in the same quote. You'll find the full details on the pricing page.
FAQ
Do I have enough data for machine learning?
Often you have more than you think. A few years of sales, bookings or orders in a spreadsheet or your accounts software is enough for many forecasts. If there isn't enough for a reliable model, we'll tell you, and a good dashboard is usually the better first step.
How accurate will the forecast be?
We can't know until we test it on your data. We hold back part of your history, check how well the model would have predicted it, and show you that result in plain words before you rely on it.
Do I need a data warehouse?
Not to start. We can work from spreadsheets, Tally or Zoho exports, or your store database. If you outgrow that, we'll set up something sturdier.
What is the ML Playground?
It's a product we're building, an AI data scientist that runs experiments on your data and learns from each one. It isn't available yet, but you can register interest on the ML Playground page.
How much does a data project cost?
We quote every data project in writing after a free consultation, based on your data sources and what you want to see. Cloud costs, if there are any, are listed separately.
Related
- 4:30 pmOnline storesAI for D2C brands and online stores
- 10:20 amAI integrationAI integration for the systems you already run
- 2:40 pmAPI integrationAPI integration and middleware that keeps your systems in sync
- 3:10 pmAsk your documentsA private AI assistant that answers staff and customer questions from your own manuals, policies and price lists, and shows the source of every answer.
- 11:00 amNo-code and internal toolsTrackers, dashboards, approval flows and client portals, built fast on no-code and low-code platforms so your team can edit them itself.
- 8:15 pmMarketing automationMarketing automation that follows up for you
Pictures are illustrations
