Services
Services
Service Concept
By combining our technology with individually developed auction methods, we have achieved more than 40% effective savings for all our clients.
Mobile phone providers lack the technical prerequisites to be able to determine the most cost-efficient tariffs and options for their customers. As a result the costs are too high.
We have highly specialised software and infrastructure that enable us to record the usage data of all users of a company in detail over several months and simulate it with any number of tariff models. In this way, the best actual result is finally determined. Often the calculations are so complex that they can only be carried out in an acceptable amount of time using several servers in parallel.
However, even the absolute transparency of tariffs, options and detailed requirements alone cannot reach the full optimisation potential. This is because the dominant market position of a few providers makes it difficult to push through the determined optimum.
That is why we develop special auction designs based on the systemically generated knowledge and taking into account the provider oligopoly as well as your individual objectives, so that the efficient achievement of the lowest possible total costs is guaranteed.
Predictive Benchmarking
Predictive Benchmarking simulates a tender/auction of the highest quality. The simulation calculates the result that you would achieve with an optimal tender/auction design for your individual usage situation, without you having to enter into discussions with the providers.
Result:
- Value of achievable savings (Benchmark)
- Implementation plan/offer
- Possibility of immediate savings through tariff optimization
Time required:
1 to 2 weeks
Fee:
Fixed amount per mobile card
Guarantee:
100% discount when benchmark savings are less than 20%
Background and contents
In purchasing, benchmarking, i.e. comparing one's own costs with those of other companies, is often used to determine potential savings. This approach is often not useful for mobile services and is even misleading.
This is because comparing costs on the basis of index values from secondary data, on which the usual benchmarking methods are based, is tantamount to the proverbial comparison of "apples with oranges". Moreover, with this conventional benchmarking it always remains unknown how the supposed savings potential is to be achieved.
How close a company comes to the actual best result is determined above all by the individual tender quality. This is a finding from our success with numerous large companies with up to several tens of thousands of mobile phone contracts. The individual highest tender quality is achieved when
- absolute transparency is brought about;
on the detailed usage structures and the costs for all practically achievable tariff combinations; - the most effective tender/auction design is developed and applied;
based on absolute transparency and consideration of the individual framework conditions as well as application of the aspects of game theory.
An ideal benchmarking determines the savings potential and the prerequisites prior to such a tender in order to then be able to assess which purchasing measure makes the most economic sense. For this purpose, we have developed "Predictive Benchmarking", which includes the following services.
1Collection of usage data
The differentiated and broadest possible collection of usage data is a necessary basis for determining the most cost-efficient tariffs. Simplifications, for example through sample considerations or through the use of consolidated values, would have a negative impact on the purchasing result.
Therefore, we collect your billing and individual connection data to be analysed for each subscriber for a period of at least six months. This data is provided by the inventory provider in their standard format and processed by us in pseudonymised form. Data relevant to data protection can thus only be read by them.
2Auction design
In the telecommunications market there is a pronounced provider oligopoly for business customers. Often, due to technological requirements, only one competitor can even be considered as an alternative to the existing provider. Moreover, since the cost structures of the providers are very similar, the existing provider could "go along" with any offer of the competitor. Consequently, the competitor has hardly any chance of winning the customer, so that in many cases he does not make any offer at all, or at least not an offer that is attractive in terms of price.
Our auction designs address the problem of this market failure and create a high level of competition. This ensures that the customer not only receives services that fit, but also the best possible prices. In addition, our designs take into account any specific requirements you may have, e.g. in the form of minimising the likelihood of a change of provider while maintaining full procedural transparency towards providers.
3Simulation of the target scenario
Our software analyses all cost-relevant information from the usage data, especially actual costs and services as well as usage volumes per connection type. All data is checked for consistency and completeness.
The most cost-effective tariff-option combinations per subscriber are then calculated on the basis of the usage data and the defined auction design. The result is the most cost-effective target tariff portfolio that is achievable on the market under the given conditions.
4Preparation of the implementation offers
In order to achieve the result determined in predictive benchmarking, the assumptions made in the simulation must be translated into reality. For this, we create a concrete offer for the implementation of a corresponding auction including success guarantees.
In addition, we create an offer for