Plan the Next Quarter on Your Own Data, Not Last Year Plus Ten Percent
Most business plans are built by taking last year and adding a number that feels right. Predictive analytics reads your real history, projects revenue, cash, demand and capacity forward, and tells you how confident it is in each figure.
50+ ERP and software projects. Zero failed projects since 2021.
A plan built on a guess costs money in both directions
Forecast too high and you carry stock, capacity and people you do not need. Forecast too low and you miss orders you could have taken. Both are expensive, and both are avoidable.
Your history already knows more than the spreadsheet does
Seasonality, customer buying cycles, the gap between enquiry and order, and the effect of a price change are all sitting in your transaction data. A model reads them together, which is difficult to do by hand across thousands of records.
- Seasonality separated from real trend.
- Customer-level cycles picked up individually.
- Signals combined, not read one at a time.
A range you can plan against beats a single confident number
Every projection comes with a confidence range and the assumptions behind it, so you can plan capacity for the middle case and know what the downside looks like. Accuracy is measured against actuals each period, so the forecast earns its credibility over time.
- A range on every figure, not a false precision.
- Assumptions written out for your team to challenge.
- Accuracy tracked and reported openly.
The same method applied to cash, demand and capacity
Revenue is where most businesses start, but the forecasts that change decisions are usually about cash timing and plant capacity. Each one is built and reported the same way.
From your transaction history to a forecast your team trusts
Six projections leadership teams use most
Each one is built from your own records, carries a stated range, and can be broken down to the customers, products or accounts behind it.
Revenue and order intake
Projected sales by month, product and region, with the confirmed order book separated out.
Cash inflow
Expected collections week by week, based on how each customer actually pays rather than terms.
Product demand
Item-level demand for planning purchase and stock, with seasonality handled properly.
Capacity requirement
The plant hours, machines or people the projected order book will need, and where it gets tight.
Customer behaviour
Which accounts are likely to grow, slow down or stop ordering, based on their own pattern.
Margin and cost trend
Where margin is heading if current input cost and product mix continue as they are.
What forecasting on real data changes
Why teams choose TCB Infotech for predictive analytics
Forecasting and predictive analytics questions
What is business forecasting with predictive analytics?
How accurate are the forecasts?
How much history do you need?
What can you forecast for us?
Can we see why the forecast says what it says?
Does the forecast replace our planning process?
Build Your Next Plan on Evidence
Book a free consultation. Tell us what you are planning for, and we will show you what your own history can already project and how confident it would be.
Book a Free Consultation →No commitment. A practical look at what your data supports.