Time to grow -
With the supply chain
management software solution
from DISKOVER

DISKOVER:
Behind the data is the success

Statistics, algorithms, artificial intelligence (AI),
Machine learning (ML)

Optimization decisions in logistics and supply chain
management cannot be solved quickly and cost-effectively with static ERP systems and
classic algorithms.
As an add-on to the ERP, DISKOVER solves tricky planning tasks
and relieves the burden through automation.

Modern digital technologies -
that work completely in the background.

CORE FUNCTIONS
TECHNOLOGIES

Heuristics and metaheuristics from
Artificial intelligence and machine
learning

The optimizer engine in DISKOVER works with heuristics and metaheuristics from the field of artificial intelligence and thus automatically and efficiently solves tricky optimization tasks in the background.

The Service Level Booster, for example, is based on the Optimizer engine. Based on the desired total delivery capability of a complete range of articles, he can set the best delivery readiness level for each field of any structured product portfolio so that the total delivery readiness is achieved with the lowest possible safety stocks.

DISKOVER's PP/DS module also uses the Optimizer engine to schedule production orders against limited capacity while keeping adherence to delivery dates, productivity and throughput as high as possible.

VALUE STREAM
TECHNOLOGIES

Logistics simulation

DISKOVER's Simulation Engine is a powerful tool for optimizing scheduling decisions or planning and scheduling strategies. Using the simulation options in DISKOVER, entire value streams, value chains and supply networks can be calculated and improved.

Numerous simulation processes in the background automatically optimize the analyses, planning and scheduling results without the user noticing.

LOGISTICS
BUSINESS MODEL

Ruleset engine

Simulation linked to sets of rules and decision tables on any business objects: This is the basis of the DISKOVER ruleset engine.

This allows you to identify the economically optimal master data values for each individual item, automate master data maintenance and enable automatic MRP processes.

PROGNOSIS
Safety stock

Automatic forecasting and
safety stock optimization using
simulation

Selecting the correct forecast by comparing the forecast errors is mathematically too short-sighted. DISKOVER automatically optimizes forecasting procedures and parameters together with safety stock procedures and parameters for each individual item using empirical simulation.

You can determine for yourself which optimization targets are of interest to , e.g. required delivery readiness with the lowest possible inventory at .

PROGNOSIS
Distribution form

Distribution-free processes

Demand for items is rarely normally distributed, which is why all classic forecast and safety stock formulas systematically miss the mark. DISKOVER therefore also uses so-called distribution-free methods, in which the distribution form of demand plays no role.

KI-SUPPORTED
FORECAST

Empirically tested neural networks

In addition to statistical methods, DISKOVER also makes extensive use of neural networks to forecast demand.

But even neural networks cannot predict chaotic behavior , can be overtrained or untrained, too sluggish or too dynamic, overfitting can occur or incorrect influencing variables can be overinterpreted.

For this reason, the results of neural networks are also checked using empirical simulation and must prove themselves in competition with other forecast variants in order to be used for the forecast of an article.

This all happens in the background without burdening the user .

MASTER DATA QUALITY

Automatic process and
parameter optimization through simulation

The DISKOVER simulation also enables you to automatically optimize and simulate processes or master data, e.g: Automatic selection of the best article-specific scheduling procedure or the best batch size procedure.

PRODUCT AVAILABILITY

Automatic optimization of
delivery readiness levels in the product portfolio

In many cases, the readiness for delivery is set differently in different fields of a product portfolio in order to achieve a suitable compromise between readiness for delivery and required stock.

Based on the desired overall readiness for delivery of the product portfolio, DISKOVER can automatically make this setting so that you can manage with the lowest possible stock levels .

INNOVATION & PROGRESS

Forward-looking strategies
for the supply chain of tomorrow

Through our close cooperation with the Abels & Kemmner Group, we combine in-depth consulting knowledge with technical innovation to optimize supply chain management holistically. At DISKOVER, decades of experience and practice-oriented knowledge flow into the continuous further development of the software.

This comprehensive approach - which goes far beyond pure software solutions - gives us a decisive advantage: we look at the entire supply chain in all its complexity and develop tailor-made solutions that offer real added value both strategically and operationally.

Companies that trust in our
technologies

The DISKOVER team will be happy to advise you on which software package
is right for your company.

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