s.demand
![](/wp-content/uploads/2024/05/statmath-hero-section-s-demand-web-scaled-1.jpg)
Do you want to use the resources within your organisation as effectively and efficiently as possible? Do you want increase capacity utilisation and avoid overbooking? Are you looking for a demand planning tool that also assists you with personnel planning? Do you need a complete, accurate and reliable overview of all your organisational capacities to produce precise revenue and sales forecasts? Now is the time to act and implement an intelligent, AI-powered resource and demand planning tool.
![s.demand Diagramm](/wp-content/uploads/2024/05/s_demand_big-768x396.png)
The path to the perfect
resource and demand planning solution
Whatever business or planning department you work in, good resource management is essential for all business processes. In order to determine optimal resource and demand levels, derive appropriate and timely actions and predict future sales potentials, many factors must be considered. But efficient resource planning and demand forecasting has become more complicated and expensive than ever due to increasingly individualised customer structures, business processes and regional differences.
Today, organisations need to be highly responsive in order to remain competitive in the face of external and internal factors such as major changes in price policy, competitive pressure and supply shortages. These problems usually affect all areas of a company’s supply chain. Start now to maximise efficiency of your existing resources. Know your future production demand and react to imminent shortages in time.
How? By unlocking the full potential hidden in your data! Our AI software s.demand takes care of your intelligent resource management in times of Industry 4.0 and shows you how to gain real added value from your existing data.
Our software solution s.demand
Thanks to s.demand, production bottlenecks and resource supply issues are now a thing of the past. Our resource planning tool helps you generate precise forecasts of expected sales volumes of products, available resources or expected supply shortages. s.demand accesses historical data from defined interfaces quickly and systematically and evaluates them. This opens up huge potential for businesses to optimise their future planning processes and various needs. Our software learns automatically and continuously adapts its predictions to the changing conditions. Thanks to its ability to forecast future conditions and events, this intelligent management system also helps to avoid short-time work. Reach out today to discuss your resource planning needs and use s.demand to improve your supply chain management.
![Lupe untersucht das neuronale Netzwerk in der Baumrinde.](/wp-content/uploads/2023/11/statmath-content-s-demand-web.jpg)
the algorithms of s.demand
Our algorithms break down data series such as order data from ERP systems, historical data or energy data into individual components. This is the only way to identify and intelligently map all demand drivers. In addition, all relevant influences of the respective planning variable are determined using algorithms.
We also consider and evaluate external sources of information where required, as well as short-term, long-term and spontaneous adjustments, public holidays, company holidays, seasonal effects and other regularities. Our algorithms continuously learn and generate precise recommendations even under constantly changing conditions.
![Monitor im Wald mit Diagramm](/wp-content/uploads/2023/10/MU_8763_s_demand_retuschiert.jpg)
Factors and dependencies in resource planning
- Order and production data
- Customer behaviour
- Machine states
- Market situation and political climate
- Products and raw materials
- Internal company processes
- Staff availability
- Public holidays
- Company holidays
- Seasonal effects and other regularities
The benefits of
s.demand
The AI-supported software solution s.demand offers many advantages:
- greater planning certainty, e.g. for materials procurement and personnel management
- increased resource efficiency, e.g. through effective warehouse optimisation
- improved delivery reliability — important for just-in-time productions
- demand/quantity control, e.g. by comparing the forecast with the personal assessment
s.demand in a nutshell
Time series data:
- ERP order data
- historical sales data
- energy data
Data from sprecial effects:
- event data (holiday, public holidays, bridge days, etc.)
Our solutions for optimised resource and demand planning:
- identification of relevant influences of planning variables
- inclusion and evaluation of exogenous information
- point forecasts for different required quantities in current and future projects
- automated response to structurals changes and special effects
Result:
- customised application programming interface (API) for planned derivations
- planned coclusions about operational data for near real-time insights
Do you have questions about our products? Contact us to book an appointment. Our team will be happy to advise you personally or via email.
![statmath Mitarbeiter Matthias](/wp-content/uploads/2022/12/Matthias-Klemm_Kontakt.png)
![Alexander Hoffmann](/wp-content/uploads/2023/11/Portaits_Alexander_Hoffmann_07.jpg)
ifm statmath gmbh Managing Director