Demand Forecasting
Churn Prediction
Conversion Prediction
Data Pipeline & Model Training
Agentic Coding Coaching
Large Language Models
Know what the price will be before the market does
Most pricing decisions are reactive: based on what happened last quarter, what competitors are charging, or instinct. That means leaving money on the table, or getting caught out by cost swings you could have predicted.
We build models that forecast where prices are going, using your transaction history and market signals. You stop reacting and start getting ahead.
*8-12% margin is typically left on the table when pricing decisions are reactive rather than proactively forecast-driven.
A model that turns historical pricing patterns into forward-looking numbers
Three places this changes your business
If you buy materials or commodities, knowing prices 4–8 weeks out changes when and how much you buy. A predicted cost spike means you stock up first. A predicted dip means you wait.
A construction materials supplier forecasts input costs 6 weeks out, timing bulk orders around predicted troughs to improve margins by double digits.
If your margins depend on cost inputs you cannot control, price forecasts let you quote with a data-backed buffer. Stop absorbing cost increases that arrived after you fixed your price.
A manufacturer quotes 6-week lead-time jobs using forecasted material costs, protecting margin when prices move between quote and delivery.
If you set your own prices, knowing where the market is heading lets you move first. Raise before your costs rise. Hold or cut when competitors are under pressure.
A distributor adjusts prices weekly using a model trained on competitor signals and cost indices, ahead of the market rather than behind it.