Identifying trends and forecasts: Business planning and optimization for decision support
Especially in high-wage countries or countries with high energy costs, companies face the constant challenge of minimizing process costs and improving efficiency. If these processes are subject to limitations regarding potential optimizations, such as employee availability, the interchangeability of raw materials, or difficult-to-negotiate purchase prices, simulation and planning can become complex and time-consuming. This complexity increases continuously with the growing number of possible parameters – for example, in setup time planning, minimizing scrap in production, or maximizing sales for trading companies.
The The MDM Booster’s Sweet Spot Finder uses the latest algorithms from applied research to solve minimization or maximization problems within seconds. You define the parameters, and the MDM Booster finds the optimal parameters – without any AI expertise or mathematical knowledge required – to calculate a sound trend forecast.
The challenge: Lack of forecasts makes planning and decision-making difficult
For the efficient and optimal management of a company or business unit, Reliable and robust forecasts and plans are needed.
Unstructured, incomplete, or outdated data complicates the creation of these forecasts and plans. While commonly used averages, 13-month trends, or medians may be easy to use, they fail to exploit significant optimization potential. Accurate forecasting gives you a clear competitive advantage. Typical examples include:
- Sales and Supply Chain – Sales Forecasts
- Purchasing – Demand Forecasts
- Finance – Liquidity Planning
- Human resources management – planning of staffing needs and duty rosters
Advantages of AI-based optimizations and trend forecast calculations
- Minimal effort: no need for manual simulations and lengthy calculations.
- Highly accurate forecasts: Our customers’ forecasts are up to 15% more accurate than before.
- Utilize opportunities and potential: React to market changes early and use the MDM Booster to calculate a trend forecast in order to optimally utilize your resources.
Practical example: Optimizing the pricing strategy in retail
A retail company wants to optimize its pricing in order to be able to react optimally to market fluctuations. Previously, price adjustments were made manually, based on experience and market observations. Price adjustments were often not implemented in good time.
The challenge
- Irregular adjustment of prices to market changes, overall margin unsatisfactory
- Price sales functions for all articles, especially in combination with other articles, seasonal and regional dependencies or customer-specific price lists
- High manual effort for continuous validation of the optimal pricing strategy at item and product group level
Solution with the MDM Booster – Reliable and More Accurate Forecasts
The company uses the AI-powered forecasting and optimization capabilities of the MDM Booster to automatically generate optimized price proposals. A custom-trained AI model, developed using the MDM Booster, responds to price trends, competitive landscape, demand patterns, seasonal trends, and events to predict future price movements, calculate trend forecasts, and provide real-time suggestions for optimal prices per item, customer, region, etc.
Result
✔ Maximization of margin
✔ Higher customer satisfaction
✔ Relief for employees from sales and pricing
By using the MDM Booster to optimize its pricing strategy, the company was able to significantly improve its margins, make pricing decisions more efficiently and increase its competitive advantage.
Further examples of key figure forecasting and optimization
Field of application: Sales, financial planning, marketing
- Sales forecast based on seasonal and regional trends and dependencies
- Demand forecast per item, incl. follow-up items
- Calculation of the optimum offer price per customer
Area of application: retail, e-commerce, financial markets
- Calculation of optimal sales prices through analysis of market trends
- Price sales function – dependence on supply and demand in the business customer context
- Optimization of discount campaigns and special offers
Field of application: Controlling, financial accounting, resource management
- Forecasting the development of energy costs or commodity prices
- Budget planning for personnel, maintenance or logistics
- Forecasting the operating hours of machines
Area of application: Personnel management, HR planning
- Forecasting personnel requirements based on seasonal and regional fluctuations and other influencing factors
- Optimization of shift schedules and duty rosters
- Optimal management of the budget for employer branding per channel to maximize the number of qualified applications, e.g. Stepstone or LinkedIn
Area of application: Production, mechanical engineering, logistics
- Forecast of maintenance requirements
- Calculating the service life of machines, spare parts and devices
- Reduction of downtimes through predictive maintenance
Area of application: Agriculture, logistics, energy supply
- Optimized control of cold chains
- Calculation of crop yields based on weather data
- Optimizing the setting of PID controllers
- Tour optimization
- Forecast of the load weight per customer
MDM Booster
Automated predictions with artificial intelligence
The MDM Booster enables you to use artificial intelligence (AI) to create fully automated forecasts for your key figures, your company and your industry with high precision in real time, without the need for AI expertise or prior mathematical knowledge.
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Seamless integration and individual AI models
Seamless integration into existing systems
Thanks to open interfaces, the MDM Booster can be easily integrated into existing MDM, ERP, PIM or CRM systems. Standard formats such as SQL, CSV, Excel, OpenAPI and S3 are supported, enabling smooth data transfer and processing.
Individual AI models for customized forecasts
The MDM Booster allows you to train individual AI models that are specially tailored to your company-specific forecasting requirements – without IT or AI expertise. Improve and optimize your AI models continuously with the MDM Booster by integrating the latest market data, information on regulatory changes or weather data at any time.
With the AI-supported regression analysis and the optimization functions of the MDM Booster, you can use your data strategically and operationally for your long-term success.
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Get to know the MDM Booster for forecasting your KPIs and optimizing KPI-based processes. With the MDM Booster, companies receive one of the most powerful AI solutions that can be used to implement a wide range of use cases.
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