Time to grow -
With the supply chain
management software solution
from DISKOVER
- INVENTORY MANAGEMENT
- KI-PROGNOSIS
- FORECAST & SALES PLANNING
- SALES & OPERATIONS PLANNING
- MATERIAL DISPOSITION
- DISPO-PARAMETER OPTIMIZATION
- ANALYSIS & CONTROLLING
- DETAILED PRODUCTION PLANNING
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
Ease of use...
"You won't find such ease of use in the materials planning tools of established ERP providers , despite the wide range of functions for basically every application."
Dietmar Henkler
Head of Supply Chain Management
Reproducible and traceable...
"The sets of rules for the disposition parameters and various stockpiling strategies also reflect the expert knowledge and experience of the dispatchers and controllers. This means that the planning and scheduling results are reproducible and comprehensible for us at all times."
Marina Less
Head of Supply Chain Management
As if by magic...
"Today, nobody at HANSA-FLEX has to process BANFs or maintain master data. Replenishment now rolls in automatically as if by magic. The availability of articles is now significantly better than before. DISKOVER is now used to manage over 400 branches in Germany and abroad."
Christian-Hans Bültemeier
Management Board
The DISKOVER team will be happy to advise you on which software package
is right for your company.
DISKOVER Blog
Stay up to date with our blog at
.
FAQ - Frequently Asked Questions
What technologies does the APS software DISKOVER use?
DISKOVER combines statistical methods, artificial intelligence, machine learning, and empirical simulation. Heuristics and metaheuristics are also used to solve complex optimization problems. These technologies support, among other things, demand forecasting, inventory optimisation, material planning, and detailed production scheduling. Many calculations run automatically in the background, reducing the workload for users.
How does DISKOVER use artificial intelligence for demand forecasting?
In addition to statistical forecasting methods, DISKOVER also uses neural networks for demand forecasting. The AI forecasting module can analyze historical and external data and update its models through regular retraining. AI results are reviewed, as not every method is equally suitable for every product and every demand pattern.
What role does simulation play in supply chain optimization?
DISKOVER’s simulation engine makes it possible to compare alternative planning and scheduling strategies based on company data. This allows users to analyze the effects on inventory levels, delivery readiness, and costs before making changes to operational settings. In this way, the supply chain simulation supports the selection of appropriate methods and parameters.
To what extent does the ruleset engine automate the maintenance of scheduling parameters?
The ruleset engine links rule sets and decision tables with simulation results. This allows planning and scheduling parameters to be defined on a per-item basis and updated automatically. This reduces the need for manual individual corrections and creates traceable control rules. The parameter settings are based on the company’s requirements and business objectives.
Why does DISKOVER optimize forecasts and safety stock together?
A small forecast deviation alone does not guarantee efficient inventory planning. The safety stock method and its settings also influence inventory levels and on-time delivery rates. DISKOVER therefore evaluates both the forecast and safety stock methods together through empirical simulation. The key factor is the selected objective—for example, achieving a defined on-time delivery rate while keeping inventory levels as low as possible.
How do optimization algorithms support detailed production planning?
DISKOVER’s detailed production planning uses optimization algorithms to schedule production orders while taking into account limited capacities and required resources. This process can incorporate objectives such as on-time delivery, throughput, productivity, and setup time. This supports the creation of actionable production plans and makes it easier to evaluate different order sequences.