The powerful analysis solution for price analysis, cost optimization, benchmarking and price estimation.
NLPP analyzes product prices by performance and shows you which products have good or bad value for money.
NLPP makes state-of-the-art analysis algorithms accessible to all, quickly and easily.
Buyers, sellers, value engineers, cost analysts, quote builders, value analysts, and many more who want to understand how performance and price are related leverage NLPP.
NLPP has been actively developing since 2008, delivering the best results from your data as we have developed the most powerful mathematics available on the market for performance pricing.
NLPP customers are companies in a variety of sizes and industries that already benefit from the precision and speed compared to other approaches.
The average NLPP ROI is 1-2 applications.
The uniqueness of NLPP is to automatically find the most accurate target price formula for your data.
NLPP condenses the information from your data into precise target price formulas that accurately describe the relationship between price and performance. With NLPP, Predictive Analytics becomes practicable.
Proportion of different NLPP methods after the automatic calculation of the best target price formula. Basis: 107 data sets from different industries and part families.
To determine which pricing analysis solution is right for your business, we've created an evaluation guide that highlights the key features and characteristics that such a solution should perform. Furthermore, we provide you with special test data with which you can evaluate the performance of different solutions.
You receive software, training and documentation. In addition, unlimited personal advice from our NLPP expert team.
Linear & non-linear methods, 6 different methods, automatic selection of the best model, calculation of the influence strength for each feature, automatic removal of features without influence, indication of extrapolations, calculation of three different price benchmarks
Expert system for automatic HotSpot identification, one-click coloration, quick selection of datasets, various calculations of potential savings, target price calculation of new products, recallable snapshots with notes, data export
Any free import structure, any number of records and characteristics, data quality check, one click clustering, numerical & non-numerical price drivers, any number of price and quantity columns, mass change of data records, automatic handling of data gaps
Runs on 32 & 64 bit Windows systems, no license server, no database server, installation in 60s, no maintenance for the IT, sharing analysis data, extensive documentation
Intuitive operation, low learning curve, direct visual feedback, short calculation times thanks to highly optimized algorithms
Telephone, web meeting, email for: program operation, feature selection, interpretation of analysis results, best practice webinars, newsletters, regular NLPP tips & tricks
Answers to the most important questions about the NLPP methodology and solution.
LPP stands for "Linear Performance Pricing" and only uses target price formulas with a linear structure, ie only multiplication and addition. Therefore, LPP solutions can only depict linear relationships.
NLPP also uses target price formulas with more complex, non-linear, structures. As a result, NLPP is better able to map the relationship between product feature and price.
Most LPP applications use a method called LPP-LSM. LPP stands for Linear Performance Pricing and describes the structure of the linear target price formulas (addition and multiplication). But that alone is not enough; the process of calculating the components, the regression coefficients and the target price formula is also important. This is almost always the least squares method (LSM).
To use LPP-LSM, many prerequisites must be met. Furthermore, the method is not well suited if the analysis data also includes extreme values. This is almost always the case in practice.
Just as craftsmen need different tools, so are different calculation methods necessary in data analysis. Therefore, NLPP offers six different methods, LPP-LSM being one. Our tests have shown that in 96% of cases, one of the unique NLPP methods give better results than LPP-LSM.
NLPP can handle several thousands of records. The largest known record consists of 15,000 articles.
NLPP can handle any number of features. However, it does not make sense to use as many features as possible in one calculation. The motto "Much helps a lot" does not apply.
No. NLPP processes data where the information is organized in columns and one record per line. The order of the columns does not matter.
The calculation time depends on the number of data records, the number of features used and the "structure of the data".
Most NLPP analysis require less than 30 seconds of computation time.
No. NLPP can work with gaps in the data. If a feature is used in a calculation and there are records where that feature is missing, these records are automatically disregarded.
All your data remains with you. NLPP is not a cloud solution, as price analytics data is very sensitive business internals and in our opinion should only be stored by you.
As an additional safeguard, all NLPP data is encrypted. If you want to exchange NLPP data via email, etc., this ensures that no unauthorized access is possible.
Yes. With the "data washing machine" of our partner CADBAS we can read your CAD data and enrich it with additional master data. This procedure creates the basis for a systematic & integrated material creation and classification process that you can build up step-by-step.
Successful parts data management is a continuous improvement process, and the NLPP methodology increases the value of your part data by factors.
Our NLPP technology combined with the coordinated offerings of our partners, further increases your benefit.