AUTONOMOUS PROCUREMENT
BECOMES REALITY
MORE THAN A HAGGLEBOT
nnamu negotiation bot first focusses on finding and recommending the most effective negotiation strategies based on game theory algorithms to optimise the total value of ownership for its clients.
nnamu negotiation bot then implements these strategies as well, making it the ideal use case for all sorts of lower & tail end spend, yet capable of dealing with complexities.
THE MISSING LINK
The optimum total value of ownership price can only be achieved with the right negotiation strategy.
nnamu negotiation bot works based on mathematical models of strategic interaction among rational decision-makers.
It’s developed with experience and data from TWS, which is proofed in 2,500+ negotiations.
CHANGING THE RULES
nnamu negotiation bot provides best in class negotiation strategy recommendations with additional, TCO savings.
It is based on game theory algorithms with 11 different negotiation designs, continuously improved by machine learning.
HOW THE NEGOTIATION BOT IS BUILT
PURCHASE REQUISITION
We use data from the purchase requisition and additional data from specific questionnaires containing game theory specific know-how that is not available in any system today.
KNOW HOW
ALGORITHM
The TWS knowledge and the experience from 2,500 projects was combined with game theory logic to develop the algorithm.
DATA &
INDEXES
The NEX database contains all influencing factors for the different negotiation designs to enable machine-based learning.
TESTING AND
FINETUNING
Continuous testing and finetuning improves the algorithm.
HOW THE NEGOTIATION BOT WORKS
Execution of
recommended strategy
Prices &
Supplier
Input
Additional
Data Input
(Questionaire)
Calculation
based on
algorithm &
NEX data
Negotiation strategy recommendation
1 out of 11 designs
Supplier
invitation
(Email)
Automated
supplier awarding
NEX
database
update