Predictive Analytics for Your Business
Predictive analytics services take your historical numbers and project them forward with models you can inspect. Omeiro trains regression and neural models on metrics like sales, demand and cash balances to forecast seasonal surges and how fast cash is likely to run down.
What predictive analytics looks at
The main areas we work through. The exact scope depends on your package and is agreed before we start.
The question
- What to predict
- How it will be used
- What good enough means
Data prep
- Missing values
- Outliers
- Features
Model
- Simple baseline first
- Honest test results
- Limits explained
Use
- Export or API
- Refresh plan
- Watching for drift
What we cover The exact scope depends on your package and your data, and is agreed before work starts.
What you get with predictive analytics
Machine learning meets corporate finance. We train linear regression and neural models on historical metrics to forecast seasonal demand surges and cash depletion rates.
Basic Package
1 time-series forecast (e.g. sales) with 90-day outlook and report. 4-day delivery, 2 revisions.
Standard Package
3 forecast metrics, seasonality and scenario runs, accuracy report; notebook. 7-day delivery, 2 revisions.
Premium Package
6 metrics, ML models, monthly automated retraining, dashboard; 30 days support. 12-day delivery, 2 revisions.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Your data stays in your own accounts and tools wherever possible, and access is removed when the work is done.
How our predictive analytics works
Choose the metrics
We agree what to forecast and the time horizon that matters.
Clean the history
Gaps, outliers and one-off events are handled before modeling.
Train and test
Models are tested on past periods so accuracy is measured, not assumed.
Deliver the outlook
You receive forecasts, scenarios and a clear explanation.
Predictive analytics for planning decisions
Predictive analytics projects begin with the decision the forecast supports. Ordering stock, hiring and planning cash each need different horizons and levels of detail. Provide history at the grain you will plan on, such as weekly sales by product line, along with known drivers like promotions, pricing and holidays. Gaps or one-off events should be flagged so they are not learned as patterns.
A common mistake is choosing a complex model before testing a simple one. Predictive analytics here compares baselines such as seasonal averages with regression and machine learning, and reports which one wins on held-back months. Scenario runs show how results change if a driver moves. You get an accuracy report with errors by period, so planners know when to trust the forecast and when to add a buffer.
In short
- Delivery in 4 to 12 days, by package.
- Fixed price, shown before you order.
- Finance leads building financial forecasting models for the next budget cycle.
- Retail and ecommerce managers preparing for seasonal demand spikes.
- Copyright yours after full payment.
Predictive Analytics: common questions
How much does predictive analytics cost?
Prices are fixed and shown by package on our Predictive Analytics pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does AI forecasting consulting take?
Delivery depends on the package: Basic 4-day delivery; Standard 7-day delivery; Premium 12-day delivery.
What is included in the Basic Package?
The Basic Package includes: 1 time-series forecast (e.g. sales) with 90-day outlook and report. Higher packages add more scope, revisions and support.
Can I get a custom financial forecasting models package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
How far ahead can you forecast?
Basic gives a 90-day outlook. Longer horizons depend on how much history you have and how stable your business is.
How accurate will the forecast be?
Accuracy varies by data. Standard includes an accuracy report showing how the models performed on past periods.
What is a scenario run?
A forecast under different assumptions, such as a price change or a weaker season, so you can plan for more than one outcome.
Will the model keep learning?
Premium retrains automatically each month.
What data do I need for a sales forecast?
A history of sales at the level you plan on, ideally covering several seasonal cycles, plus records of promotions, price changes and unusual events. More complete drivers generally make the forecast easier to explain.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your predictive analytics?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.