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Predict with your data, not your gut.

You’ve got years of sales data, inventory records, and customer patterns sitting in your systems. Right now, someone’s probably looking at last year’s numbers in a spreadsheet and making gut calls about next quarter. That works until it doesn’t — and the cost of getting it wrong is real: overstocked inventory, missed sales, cash flow surprises.

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In Practice

What this actually looks like.

We build forecasting models that use your historical data to predict what’s coming. Not generic industry forecasts — models trained on YOUR numbers, YOUR seasonality, YOUR customer behavior.

01

Weekly demand forecasts by product line so you know what to stock and when

02

Cash flow projections based on actual payment patterns, not optimistic assumptions

03

Customer churn predictions so you can act before you lose accounts

How It Works

Our process.

We start with your data. We clean it up, look for patterns, and build models that capture the trends and seasonality in your business.

1

Data audit

We look at what data you have, how clean it is, and whether there’s enough history to build reliable forecasts.

2

Analysis and modeling

We build forecasting models, test them against historical data, and validate that they actually predict better than the current approach.

3

Dashboard and alerts

We deliver forecasts in a format your team will actually use — dashboards, weekly reports, or alerts when something unexpected is happening.

4

Ongoing refinement

Forecasts get better with more data. We set up automatic retraining so your models stay sharp.

Who It's For

Is this a fit?

Businesses with at least 1–2 years of transaction data who want to make better decisions about inventory, staffing, purchasing, or sales targets. Works especially well for companies with seasonal patterns or growing complexity.

What You Get

Deliverables.

  • Custom forecasting models built on your historical data
  • Interactive dashboards your team can actually use
  • Automated weekly or monthly forecast updates
  • Anomaly detection that alerts you when patterns break
  • Clear documentation of methodology and assumptions

An honest note.

Forecasting is not a crystal ball. Models capture patterns from the past and project them forward. If your business is going through a major change (new market, new product line, pandemic), historical models need recalibration. We’ll always be clear about confidence levels.

Let's talk about forecasting & analytics.

30 minutes. No commitment. We'll review your current process and tell you honestly whether automation makes sense for your situation.

Email Us Directly

Based in Wood Dale, IL — serving the entire O'Hare corridor and Chicago western suburbs.