Forecasting & Anomaly Detection

Anticipate trends and catch drifts before they impact your business

WhatsApp
Agent sheet
Category
BI and decision intelligence
Model
open, installed on your premises
Data
never leaves
Subscription
€0 per month
01Overview

Running a business without reliable forecasts is like driving with only a rearview mirror. Dashboards show you what happened, not what will happen. The Forecasting & Anomaly Detection agent trains prediction models on your historical data, generates 3, 6 and 12-month projections and detects anomalies in real time that signal a problem before it shows up in your KPIs.

The problem

Manual forecasts rely on intuition and past trends. Anomalies are detected late, when monthly numbers are already in the red. Without proactive alerts, operational problems (churn, conversion drop, cost drift) stay invisible until they become critical.

Our answer

Machine learning models (Prophet, ARIMA, XGBoost) are trained on your historical data (sales, traffic, costs, retention). Forecasts are updated weekly with confidence intervals. Each detected anomaly (abnormal peak or trough vs. forecast) triggers a Slack or email alert with a natural-language explanation.

02How it works

Live in four steps.

  1. 01
    Historical data collection & cleaning

    Extraction of 12–36 months of data from your sources (CRM, e-commerce, analytics). Cleaning and normalization.

  2. 02
    Model training

    Selection and training of the best algorithms for your time series. Validation on holdout data.

  3. 03
    Real-time alert deployment

    Connection to real-time data feeds. Anomaly thresholds configured to your critical metrics.

  4. 04
    Forecast dashboard & monitoring

    Forecast visualization interface, alert history and continuous model accuracy score.

03What you gain

Results you can measure.

Forecasts within ±8% accuracy

Our models average 92% accuracy on the first 30 days of forecast, depending on historical data quality.

Anomalies detected 48h early

Drifts are flagged before they appear in monthly KPIs. You intervene while there's still time.

Budget under control

Cost and revenue forecasts let you adjust resources in advance. No more end-of-month surprises.

04Frequently asked

What we get asked before signing.

How much historical data is needed?
Minimum 12 months for reliable forecasts. 24–36 months allow capturing seasonality and long-term trends.
Are models retrained automatically?
Yes. A monthly retraining pipeline is set up to incorporate new data and maintain accuracy.
Can multiple metrics be forecasted simultaneously?
Yes. Revenue, traffic, acquisition costs, retention rate, each metric gets its own dedicated model.
Are alerts customizable?
Yes. Thresholds, channels (Slack, email, SMS), frequency and alert format are all configurable.

Let's talk about your case for thirty minutes.

A conversation to understand your context, volumes and tools. You leave with a scope and an order of magnitude, no commitment.

WhatsApp
+261 38 66 261 00team@wikolabs.com