Your data, predicted
What sells together? Who are your customers, really? What will sales look like next quarter? Point predictr.io at your data and get answers. No code, no specialist team - just your data, predictr'd
Questions you can answer
Each one maps to a well-understood data-mining technique. We pick the algorithm, you ask the question.
What sells with what?
Find the items that move together in baskets, invoices or point-of-sale data. Drive cross-sell, bundling, layout and recommendation decisions.
Run a Market Basket Analysis →Who are my customers, really?
Group customers by how recently, how often and how much they buy. Target retention campaigns where they'll pay back instead of spraying everyone the same offer.
Cluster customers →What will sales look like?
Forecast revenue, demand or volume — daily, weekly or monthly — from your historical transactions. Plan stock, staffing and cash with numbers, not gut feel.
Forecast sales →Got a different question?
Tell us what you're trying to figure out. If there's a data-mining technique that fits, we'll add it.
Get in touch →5 ways to drive it
Same models, reachable however you work — point-and-click, scripted, programmatic, conversational, or wired into CI/CD.
Why this isn't a six-month project
Most analytics projects sink in the setup — moving data around, picking models, tuning hyperparameters, wiring up an inference path. By the time anyone gets to the answer, the original question has moved on.
predictr.io collapses that. Connect a data source you already have, answer a handful of questions about what you want to know, and we build, tune and serve the model. Predictions come back through whichever surface fits the way you work.