Demand Planning

Manage uncertainties with advanced forecasting models and AI algorithms. Analyze your sales data, assess factors affecting demand, and optimize your safety stock levels.

Planner Problems

Common challenges encountered in demand forecasting processes and the need for solutions.

Uncertainty Management

The high level of uncertainty in demand forecasting and the difficulty in isolating the factors influencing them. A complex structure that cannot be solved using standard arithmetic operations.

Complex Mathematical Structure

The significant effort and time required to establish and calculate the correct models. The technical expertise of planners directly impacts the productivity of the results.

Fire Fighting

Predictions based on simple averages and generalizations lead to high deviations. Safety stock shortages require continuous crisis management.

Performance Problem

Forecasting models that look good on paper may underperform in real life. A planner without a good forecasting system will spend most of their time dealing with crises and will be unable to focus on their actual work.

Planner Gains

Tangible benefits you gain in your demand planning processes with Arkhon.

Automatic Model Selection

Choose the Best from Hundreds of Thousands of Models

Planners using Arkhon do not spend time building the models needed for demand forecasting and finding their best version.

Arkhon applies hundreds of thousands of different models based on the input data, identifies the model that best represents the input data, and uses it to make demand forecasts.

  • Separate optimization for each product

  • Latest-generation software and hardware

  • Results ready in seconds

Time Series & Regression

Advanced Forecasting Models

Arkhon uses time series and dynamic regression models in demand forecasting. Past sales data is evaluated independently, and robust forecasting models are developed using level, trend, and seasonality factors.

Models Used:
Time Series: ETS, SARIMA, Trend & Seasonal analysis
Dynamic Regression: Price, campaign, temperature, and currency effects

It allows the company to fully switch to demand planning and operate with a system that affects and guides what it sells and how it sells it.

Safety Stock Management

Automatic Safety Stock Setting

Arkhon also automatically determines safety stock levels to account for potential deviations in demand forecasts.

  • Adjusting service levels on a product basis

  • Group-based forecast option

  • The most appropriate solution

You will gain significant guidance for the upcoming planning period. With the demand plan output, you will better manage production, supply, and material planning processes.

Arkhon Demand Planning Process

A fully integrated demand planning system, from data entry to reporting.

Data Entry

Product information, basic supply parameters, and costs are entered into the demand planning module.

  • Product descriptions
  • Supply parameters
  • Group descriptions
  • Affecting factors
  • Model selection (optional)
Outputs

Arkhon makes demand forecasts using actual values and factors and displays the results.

  • Demand forecasts
  • Safety stock quantities
  • Model information used
  • Model parameters
  • Performance metrics
Reports

Along with the demand plan, Arkhon prepares three types of comprehensive reports.

Primary Reports

Model performance and parameters.

Financial Reports

Revenue comparison and forecasts.

Demand Reports

Product, group, and project-based evaluation.

Strengthen Your Demand Planning

Take your demand planning to the next level with AI-powered forecasting models. Discover the power of Arkhon with a free demo.