MAKE FORECASTING DECISIONS LIKE A DATA SCIENTIST.

Even if you are not. We won’t tell if you don’t.

  • Arkieva Smart Forecast Modeling

We get it – generating an accurate forecast is almost an impossible task.

The demand forecasting process can be quite tedious given that it requires a lot of collaboration with different functions of an organization – operations, finance, sales, and marketing. Your days can be filled with manual data entry, information gathering and continuous fine-tuning – all without clarity on – if you are helping or hurting your forecasts.

The Arkieva Smart Forecast Modeling Engine improves your forecast accuracy and simplifies your forecasting process with quick access to an automated baseline forecast.

Causal Forecasting examples of factors that affect sales

Demand Forecasting Machine Learning

We’ve spent years perfecting the science of forecasting with the development of proprietary algorithms and artificial intelligence so you can easily generate a forecast and make it better with your art.

What is Arkieva Smart Forecast Modeling?

The Arkieva Smart Forecast Modeling Engine gives planning teams access to 100+ forecasting methods and uses proprietary algorithms and machine learning to generate the best-fit forecast. To further simplify the selection process, users have the option of letting the Arkieva Smart Forecast Modeling Engine automatically process and pick the best method with the right parameters.

Arkieva Causal Forecasting Solution
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See a Product Tour of the Arkieva Demand Planning Solution

Start your forecasting the right way. Experience Arkieva Smart Forecast Modeling.
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How Does Arkieva Smart Forecast Modeling Work?

Empower Your Team with a Better Baseline Forecast

Powered by artificial intelligence and our proprietary algorithms, Arkieva Smart Forecast Modeling uses Smart Selection to determine which forecasting method works best for your business. The best forecasting method is selected from hundreds of methods including Holt-Winters, moving average based, trend-based, cycle-based (for example seasonal or Fourier) and more specialized methods such as ARIMA (Box-Jenkins), causal and Croston’s method.

Arkieva Smart Selection Results in a More Precise Forecast

Here’s how the Smart Selection Process works

 

Data
Method
Parameter
Smart
  • Data Categorization

    The Smart Forecast Modeling engine uses machine learning to categorize your data based on the data type.

  • Method Optimization

    Based on the data categorization the Arkieva system determines the best forecast methods for the chosen forecast data.

  • Parameter Optimization

    After determining the best forecast methods the system optimizes each forecast method parameter.

  • Smart Forecast

    The final optimal forecast is generated based on the best method and the right parameters.

GO BEYOND STATISTICAL FORECASTING. EXPERIENCE SMART FORECAST MODELING.

demand forecasting methods excel errors
Arkieva smart forecast modeling
FEATURED WEBINAR:

STATISTICAL FORECAST IMPROVEMENTS THROUGH METHOD AND PARAMETER SELECTIONS

Discover how the Arkieva Smart Forecast Modeling eliminates the headache of not knowing which forecast method or parameter to select. In this webinar, we share examples of how Arkieva’s unique approach to forecasting helps you improve forecasts for almost any forecast situation.

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FEATURED CUSTOMER STORIES

Case Study: Nouryon Achieves a One-Plan Harmonized S&OP Process with Arkieva2019-11-07T07:13:07-05:00
Case Study: Duvel Moortgat Beer Brews an Improved Demand and Inventory Management Process with Arkieva2019-11-07T07:17:16-05:00
Case Study: Lush Teams Up with Arkieva to Improve Demand, Inventory, and Financial Planning2019-11-07T07:19:39-05:00
Case Study: Gates Europe Increases S&OP Maturity with Arkieva2019-11-07T07:18:20-05:00
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Ask for a Product Tour of the Arkieva Demand Planning Solution

Not all baseline forecasts are created equal. Arkieva Smart goes beyond traditional Statistical Forecasting.
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Not Ready to Ask for a Demo? Get Started with Our Demand Planning Resources.

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