MDM Booster AI function

Forecasting key performance indicators (KPIs) and predicting trends using artificial intelligence

Create reliable forecasts quickly and easily , e.g. for your sales, set-up times or route optimization using artificial intelligence. The MDM Booster enables you to train individual AI models based on historical data, descriptive master data and current events and trends.

Corporate planning and optimization for decision support

Especially in high-wage countries or countries with high energy costs, companies are faced with the constant challenge of minimizing process costs and improving efficiency. If these processes are subject to restrictions regarding possible optimizations, such as the availability of employees, interchangeability of raw materials or purchase prices that are difficult to negotiate, simulation and planning can become complex and time-consuming. This complexity increases continuously as the number of possible parameters increases – e.g. when planning set-up times, minimizing waste in production or maximizing sales in retail companies.

The Sweet Spot Finder of the MDM Booster uses the latest algorithms from the field of applied research to solve minimization or maximization problems within seconds. You specify the framework conditions and the MDM Booster searches for the optimum parameters – without any AI expertise or prior mathematical knowledge.

The challenge: Lack of forecasts makes planning and decision-making difficult

Reliable and robust forecasts and planning are required for the efficient and optimal management of a company or division.
Unstructured, incomplete or outdated data makes it difficult to create these forecasts and plans. Manual analyses are time-consuming and error-prone, meaning that market trends and financial developments are often recognized too late and optimization potential is not exploited. Typical examples are

Sales – Inaccurate sales forecasts
Finances – inadequate liquidity planning
Personnel management – insufficiently precise planning of seasonal personnel requirements.

Advantages of AI-based optimizations and forecasts

Minimal effort: no need for manual simulations and lengthy calculations.
Highly accurate forecasts: On average, our customers' forecasts are 15% more accurate than before
Exploit opportunities and potential: Respond to market changes in good time and make optimum use of the potential of the resources available to you with the MDM Booster

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
The company uses the AI-supported forecasting and optimization of the MDM Booster to automatically receive optimized price suggestions. An AI model, individually trained with the MDM Booster, reacts to price developments, the competitive situation, demand behavior, seasonal trends and events to predict future price movements and receive real-time suggestions for an optimal price 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

Sales and turnover figures

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

Price trends

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

Operating costs and expenses

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

Personnel requirements and working hours

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

Maintenance and repair cycles

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

Weather and environmental factors

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.

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.

Demo date

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.

How can we provide support?

Would you like to receive further information or are you interested in an individual consultation? Simply let us know how we can support you. We will get back to you as soon as possible.

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